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Top 10 Best PhD in Marketing Programs in the US [2024]

How deep do you want to dive into the ever-growing marketing field? A marketing background is a lucrative education choice that brings you applicable expertise for any industry. These days, marketing managers  make upwards of $130,000 per year. A master’s in marketing  is a great start.

But a PhD in marketing takes your career to the highest levels, though not only for individual businesses. You can take that expertise and dive deeper into research or pursue a teaching career in academia.

What are the best marketing PhD programs, and where can you find them? We’ve put together a solid list that even includes online marketing PhD programs for you to choose from!

Table of Contents

Best Marketing PhD Programs and Schools

Arizona state university, w. p. carey school of business, phd in marketing.

ASU was ranked no. 1  by the US News and World Report on its list of the most innovative schools. In this PhD marketing program, you can choose between three tracks: consumer behavior, quantitative marketing models, and service strategy. There are also core courses shared by all streams, which cover research methods and marketing models.

• Duration: 5 years
• Tuition : $11,720 per year
• Acceptance rate: 88.4%
• Location: Phoenix, Arizona

Harvard University, Harvard Business School

Harvard University is a world-renowned Ivy League  university known for its strength in research. This program draws on various disciplines, such as research methods, statistics, computer science , machine learning, and field seminars. After the first two years, students can embark on their dissertation. Although the Harvard Business School offers this program, doctorate candidates can also collaborate with other Harvard schools and MIT.

• Courses: 13
• Tuition : $50,928
• Acceptance rate: 5%
• Location: Boston, Massachusetts

The University of Wisconsin, Wisconsin School of Business

The Wisconsin School of Business has a strong reputation for its excellent faculty and reasonable tuition. The school’s core research areas for their marketing PhD are quantitative modeling, marketing strategy, and consumer behavior. Interested in a research position at a university, or teaching a specialized course? You’ll find many network opportunities if you enroll in this prorgam.

• Tuition: Refer tuition page
• Acceptance rate: 57.2%
• Location: Madison, Wisconsin

Carnegie Mellon University, Tepper School of Business

Phd program in marketing.

Carnegie Mellon University is based in Pittsburgh but has campuses all over the world. Their marketing PhD program covers topics like brand-choice models, marketing/operations interface, and theories of consumer behavior. Students are supported by excellent faculty to pursue quality research in specialty areas like behavioral and experimental economics , high-tech marketing, and two-sided market pricing.

• Duration: 4 to 5 years
• Tuition : $47,000 per year
• Acceptance rate: 17.3%
• Location: Pittsburgh, Pennsylvania

The University of Colorado Boulder, Leeds School of Business

The University of Colorado Boulder is the flagship institution of the University of Colorado system and has nine schools and colleges offering around 150 programs. Its PhD in marketing is an advanced degree covering experimental and statistical methods, predictive modeling, quantitative marketing, and theory building, with crucial courses built around consumer behavior and quantitative modeling.

• Tuition : $2,811 per credit
• Acceptance rate: 84.2%
• Location: Boulder, Colorado

The University of Missouri, Robert J. Trulaske Sr. College of Business

The University of Missouri is a public land-grant university that offers high-quality but affordable education. Its PhD program in marketing focuses on developing teaching and research skills and helps students prepare for careers in various research settings. The program offers small class sizes and promotes a collaborative environment.

• Semester hours: 72
• Tuition : $414.60 per credit hour
• Acceptance rate: 81.8%
• Location: Cornell Hall | Columbia, Missouri

Florida International University, College of Business

Phd in business administration (marketing).

FIU College of Business is a world-renowned institution that falls within the top 5% of elite business schools globally and has been ranked second  in the nation for international business programs. Its PhD in Business Administration with a focus on marketing equips students with the knowledge necessary to establish successful careers in academics and research. The program’s key courses include marketing research methodology, advanced data analysis, and statistical methods in consumer research.

• Duration: 4 years
• Tuition : $10,935.36 per year
• Location: Miami, Florida

Drexel University, LeBow College of Business

Drexel University is a well-known private research institution and center of higher learning that emphasizes experiential learning. Its PhD in marketing program covers both the macro and micro aspects of marketing, though with a greater focus on the microelements. You can also choose between electives in economics-oriented or behavior-oriented subjects. Economics-oriented courses include econometrics and advanced microeconomics, while behavior-oriented includes multivariate analysis, and behavioral science research.

• Tuition : $2,000 per credit hour
• Acceptance rate: 77.2%
• Location: Philadelphia, Pennsylvania

Liberty University

Online doctor of business administration (dba) – marketing.

Looking for online marketing doctoral programs? Liberty University offers various fully online programs flexible enough for working professionals. Its DBA program in marketing includes strategic marketing management, supply chain management, marketing research, and marketing promotions. As one of the only fully-online marketing PhD programs available, it is ideal for working professionals who want to keep a balance between work and study. The program also lets you transfer up to 50% of credits from previous degrees.

• Credit hours: 60
• Duration: 3 years (average)
• Tuition : $595 per hour
• Acceptance rate: 50.1%

Grand Canyon University, College of Doctoral Studies

Doctor of business administration (dba): marketing (quantitative research).

Grand Canyon University is the largest private Christian university with almost 100,000 students. Unlike a qualitative DBA, which attempts to analyze topics using insights into how and why people think and behave, this quantitative DBA focuses on analysis by interpreting numeric data. This online doctorate in marketing includes courses about quantitative data collection and analysis, the complexity of marketing, and digital technology (a PhD in digital marketing is a great specialty!) and consumer behavior.

• Credits: 60
• Tuition : $702 per credit
• Acceptance rate: 80.7%

Should I Get a Doctorate in Marketing?

With a doctorate in marketing, you’ll be eligible for various high-level roles in academia, business, and research. These positions can offer salaries anywhere from $55,000 to $155,000, making the degree a valuable qualification for your CV.

Of course, like any discipline or program, a marketing PhD has advantages and disadvantages.

Advantages of Having a PhD in Marketing:

• Excellent career prospects:

A PhD in marketing will qualify you for roles at the highest levels of business management, which you otherwise might not access with a master’s alone. Alternatively, you use this degree to pursue a career in academia and research.

• Job opportunities in academia:

A PhD is a prerequisite if you want to teach marketing at a post-secondary level or pursue certain research career paths.

• Scope for innovation:

A PhD in marketing helps you contribute to advances in the field, especially in cutting-edge areas like artificial intelligence and natural language processing. In contrast, a master’s degree has a smaller scope for research.

Drawbacks of a PhD in Marketing:

• You have to wait to launch your career:

Studying a PhD is a serious time investment: it takes around five years to complete for most people. Of course, this is after you’ve already completed your bachelor’s and master’s degrees, so it will take you an average of 11 years before the degree brings you higher on the career ladder.

• It’s a balancing act:

By the time you start your PhD, you might have a family to take care of. As a result, managing your studies, research, and family could be a challenge.

How to Choose a Marketing Doctoral Program?

With so many options, you might have trouble picking from the top marketing PhD programs. Here are some essential factors to consider before deciding:

1. Your career goals

You might be able to build a worthwhile career in marketing with a master’s degree . But for heavy research and academic or teaching work, you’ll need a PhD. If you’re not interested in teaching or research, you might reconsider the time and financial commitment needed to complete a marketing PhD.

2. Accreditation

Check each school you’re considering for their regional accreditation. Some marketing programs may even have programmatic accreditation to look out for. This is an important factor in picking a reputable program that’s attractive to potential employers.

3. Mode of delivery

If you’re already a working professional, full-time, on-campus study might not be an option for you. In this case, you must look for a PhD in marketing online that offers remote learning and flexibility.

These are just a few ideas to keep in mind. Weigh all your options and listen to your gut feeling in the end.

Alternatives to a Marketing Major

Marketing is a specialized discipline with well-defined objectives, needing specific skillsets. However, in today’s interconnected world, various disciplines share many of the same concepts.

You can still build a high-level career in marketing with qualifications in different fields, like:

• Advertising
• Data analytics
• Strategic management
• Analytical management
• Production management

Careers with a PhD in Marketing

A PhD in marketing can open doors to various top-level roles.

Here are some of the most common roles for professionals with a marketing doctorate, with the median annual salaries for each:

• Marketing Manager ( $67,696 )
• Market Research Analyst ( $55,742 )
• Chief Executive Officer (CEO) ( $156,413 )
• Professor (Marketing) ( $89,181 )

What Do You Need to Get into a Marketing Doctoral Program?

Every marketing PhD program has specific admission requirements. Always double-check by referring to the admission webpage or contacting a school representative. Usually, a master’s degree in a related field is required for admission.

Most programs will also require:

• A statement of purpose , research proposal, or both
• Letters of recommendation
• Academic resume
• GRE/GMAT scores may or may not be required

PhD Marketing vs. Master’s Degree: Which is Better?

A master’s degree in marketing is a career-oriented qualification that can propel you into a meaningful marketing career for a variety of corporations or small businesses. On other hand, marketing PhD programs are generally research-based and will give you more specialized knowledge that equips you for a career in the academic sphere.

PhDs also require a much more significant time and financial commitment.

PhD in Marketing FAQs

What can you do with a phd in marketing.

Popular career choices for marketing PhD grads include market research analysts, chief marketing officers, and marketing professors. This advanced degree will not only equip you for roles in senior management, but also the fields of research and academia.

How Many Years is a PhD in Marketing?

A PhD in marketing typically takes five years to complete. However, some universities allow you to earn your doctorate in as little as three years, though usually only if you have enough transfer credits. At the other end of the scale, your PhD may push out to up to seven years.

Is There a PhD in Marketing?

Yes. Many universities offer a PhD degree in marketing, as well as online marketing doctorate programs for working professionals. Some schools also offer a comparable DBA (Doctor of Business Administration)..

Can I Do a PhD in Marketing After an MBA?

Yes, you can do a PhD in marketing after completing an MBA. In fact, you might consider completing a DBA to be more in line with your studies.

Key Takeaways

You can access a wealth of career opportunities available with an MBA or another master’s degree . But if you want to open more doors in research and academia, a PhD in marketing is the way to go. With so many online study options, it’s easier now than ever to complete a remote degree while juggling work or a family.

If you want to explore more options for excellent advanced degrees, take a look at our guides for:

• Best online PhD in Psychology programs
• History PhD programs
• Best PhD programs in California

Lisa Marlin

Lisa is a full-time writer specializing in career advice, further education, and personal development. She works from all over the world, and when not writing you'll find her hiking, practicing yoga, or enjoying a glass of Malbec.

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Quantitative Marketing

The PhD degree in Marketing is a research degree that prepares students for academic positions at top research universities. Students can specialize in either the behavioral (psychology-based) or quantitative (economics, statistics and machine learning-based) approaches to marketing. Students interested in the psychological aspects of consumer behavior--how consumers make decisions, how they react to marketing stimuli--choose the consumer behavior track. Students with a quantitative background, who are interested in theoretical or empirical analysis of applied marketing problems choose the quantitative marketing track.

The marketing faculty at Yale is an ideal blend of junior and senior faculty whose research interests span both the quantitative and behavioral areas. They are all productive researchers who are highly regarded in the academic marketing community. Professor K. Sudhir is currently the Editor-in-Chief at Marketing Science.  All of the senior faculty-- Ravi Dhar Shane Frederick, Nathan Novemsky, Jiwoong Shin, and Gal Zauberman are in leadership positions as Associate Editors or members of the editorial boards of the leading marketing journals.  Each of the faculty members—both junior and senior-- works actively with doctoral students.

Apart from the faculty in the marketing area, a doctoral student can draw on the expertise of other faculty members at Yale. There are several faculty members both in the School of Management as well as in the Economics/Statistics/Computer Science and Psychology departments at Yale who are interested in marketing-related issues. Several of these faculty members have worked with marketing faculty and doctoral students either at Yale or at other universities. A selective list of such faculty members is provided on the faculty page.

The Yale Center for Customer Insights and the China India Insights program provide unparalleled access to companies within the United States and across emerging markets both as sources of data and sites for field experimentation. This has augmented the research opportunities for both quantitative and behavioral doctoral students.

The Ph.D. program is highly selective. We admit 1-2 of the most promising students annually in each of the behavioral and quantitative tracks from an impressive pool of applicants. The average percentile score on the GMAT for admitted students over the last five years is in the high nineties. We look for a combination of an excellent academic record and good oral and written communication skills in our students. The academic backgrounds of admitted students typically are in the behavioral sciences, business, economics, statistics, computer science, mathematics, engineering, or the liberal arts. We do not require graduate degrees for admission to the doctoral program.

While we are extremely selective at the time of admission, we are very supportive of our admitted students in order to maximize their potential to become successful researchers. Every admitted student is guaranteed full financial aid (subject to satisfactory performance in the program) for five years. By deliberately keeping the size of the program small, we are able to assure every student in the program ample opportunities to interact with multiple faculty members during their doctoral studies. The track record of our young doctoral program is short, but impressive. For more details, see Program Design and Recent Graduates and Students.

If you have further questions regarding the Ph.D. program in Marketing, please contact Professor Subrata Sen at [email protected] .

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PhD Program

The marketing program offers two broad areas of research:  consumer behavior and quantitative marketing. Alternatively, students may focus on the interplay between these two broad areas (consumer behavior and quantitative marketing) and how the economics and psychology interface can help researchers better understand and predict marketing phenomena.

Consumer Behavior Track

In the consumer behavior track, students are exposed to the fundamentals of psychology (cognitive psychology, social psychology, and behavioral decision theory) and experimental research and on how to use them to address marketing problems, such as consumer judgment and decision making and the role of the multiple variables influencing this process (e.g., attitudes, emotions, motivation, individual differences, perception, social influence, etc).

Quantitative Marketing Track

In the quantitative marketing track, students are exposed to the fundamentals of economics (microeconomics, industrial organization, econometrics, etc.) and how to use them to address marketing problems such as mathematical modeling of buyer-seller interactions, consumer choice processes, the allocation of marketing resources into components of the marketing mix, and product development.

Program Overview

To cope with these expanding horizons, the program is designed to provide broad exposure to the advanced literature in each field. The program includes a series of marketing PhD seminars, the development of expertise in a particular social science discipline (economics and/or psychology), and technical skills appropriate to the analysis of the problems to be studied. Students select an area for intensive study and develop a program that trains them to comprehend and perform cutting-edge research in that field.

Consumer Behavior Curriculum

Quantitative Marketing Curriculum

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• Dissertation Areas and Joint PhD Programs
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• PhD in Accounting
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PhD in Marketing

• Joint Program in Financial Economics
• Joint Program in Psychology and Business
• Joint PhD/JD Program

Develop your research skills in consumer behavior or economics/quantitative methods and prepare for a career at a leading research institution.

Our Marketing PhD Program gives you a strong theoretical foundation and builds your empirical skills.

You’ll have the flexibility to explore marketing through Chicago Booth while taking courses across the university in psychology , sociology , economics , computer science , and statistics . You’ll also have access to computer science courses at Toyota Technological Institute at Chicago (TTIC) .

The doctoral program defines marketing broadly as the study of the interface between firms, competitors, and consumers. This includes but is not limited to consumer preferences, consumer demand and decision-making, strategic interaction of firms, pricing, promotion, targeting, product design/positioning, and channel issues.

Our Distinguished Marketing Faculty

Chicago Booth’s marketing faculty serve as advisors, mentors, and collaborators to doctoral students.

Daniel Bartels

Professor of Marketing

Pradeep K. Chintagunta

Joseph T. and Bernice S. Lewis Distinguished Service Professor of Marketing

Giovanni Compiani

Assistant Professor of Marketing

Sanjay K. Dhar

James M. Kilts, Jr. Professor of Marketing

Berkeley J. Dietvorst

Associate Professor of Marketing

Kristin Donnelly

Assistant Professor of Marketing and Stevens Junior Faculty Fellow

Jean-Pierre Dubé

James M. Kilts Distinguished Service Professor of Marketing and Charles E. Merrill Faculty Scholar

Ayelet Fishbach

Jeffrey Breakenridge Keller Professor of Behavioral Science and Marketing and IBM Corporation Faculty Scholar

Guenter J. Hitsch

Kilts Family Professor of Marketing

Andreas Kraft

Assistant Professor of Marketing and Asness Faculty Fellow

Ann L. McGill

Sears Roebuck Professor of General Management, Marketing and Behavioral Science

Sanjog Misra

Charles H. Kellstadt Professor of Marketing and Applied AI

Bradley Shapiro

Professor of Marketing and True North Faculty Scholar

Stephanie Smith

Avner Strulov-Shlain

Assistant Professor of Marketing and Willard Graham Faculty Scholar

Abigail Sussman

Professor of Marketing and Beatrice Foods Co. Faculty Scholar

Oleg Urminsky

Alumni success.

PhD alumni in marketing go on to successful careers at top institutions of higher education across the world. 

Akshina Banerjee, PhD '23

Assistant Professor of Marketing Ross School of Business, University of Michigan-Ann Arbor Akshina studies linguistic influence on consumer decision-making, hierarchical choices, and mental accounting. Her interests are, thus, inherently interdisciplinary, with overlaps in marketing, linguistics, economics, and psychology. Her dissertation area is in behavioral marketing.

Olivia Natan, PhD ’21

Assistant Professor of Marketing Haas School of Business, University of California-Berkeley Olivia Natan studies how limited information affects consumer demand and firm behavior. Her empirical work focuses on settings with large product assortments. Her dissertation area is in marketing.

A Network of Support

At Booth, you’ll have access to the resources of several research centers that help to fund marketing PhD research, host innovative conferences and workshops, and serve as focal points for collaboration and innovation.

James M. Kilts Center for Marketing The Kilts Center facilitates faculty research, supports innovations in the marketing curriculum, funds scholarships for MBA students, and creates engaging programs aimed at enhancing the careers of students and alumni.

Center for Decision Research Devoted to the study of how individuals form judgments and make decisions, the CDR supports research that examines the processes by which intuition, reasoning, and social interaction produce beliefs, judgments, and choices.

Scholarly Journals

Chicago Booth is responsible for the creation and leadership of some of the most prestigious academic journals today. Quantitative Marketing and Economics , for example, which focuses on problems important to marketing using a quantitative approach, was founded in 2003 by Peter E. Rossi, MBA ’80, PhD ’84.

See the full list of academic journals at Booth .

Spotlight on Current Research

Our faculty and PhD students continually produce high-level research. The Chicago Booth Review frequently highlights their contributions in marketing.

'Thank You Can Be a Loaded Phrase'

Depending on where you are in the world, this call could be welcomed—or considered strange or even rude, suggests research by Chicago Booth PhD student Jiaqi Yu and Booth’s Shereen Chaudhry.

Your Spending Habits Are All in Your Head

Booth Professor Daniel Bartels and Booth PhD [grad] Lin Fei have been examining how mental representation and the categorization of expenses are crucial to to people’s budgeting approaches.

Walter Zhang's BFI Industrial Organization Initiative Award

The Becker Friedman Institute will fund Zhang's research project, "Targeted Bundling" (coauthor: Olivia Natan, Booth PhD grad). Their project studies the pricing of digital goods and the potential for increased price targeting in differentiated product markets.

Can a Fictional Ad Man Help Sell Real Cigarettes?

How do depictions of tobacco use affect sales off-screen? Chicago Booth’s Pradeep K. Chintagunta and Sanjay K. Dhar, along with their coauthors Ali Goli (Booth PhD grad) and Simha Mummalaneni (UWashington), brought together several datasets to examine this question.

The PhD Experience at Booth

Rima Toure-Tillery, PhD ’13, talks about the Booth faculty’s open-door approach to PhD students.

Video Transcript

Rima Toure-Tillery, ’13: 00:00 I am assistant professor at Northwestern University, Kellogg School of Management. And I am a motivation scholar. I study questions related to factors that influence people's motivation to persist in various types of goals.

Rima Toure-Tillery, ’13: 00:21 I think the PhD's very different from an MBA. You expect to be doing very different things when you're done. With a PhD most of us expect to conduct research, continue to ask deep questions, and just work on finding answers to those questions.

Rima Toure-Tillery, ’13: 00:35 Booth PhD Program is extremely rigorous. You're going to learn from the best. There's a good mix of letting you be in charge of your career and being independent, but also being extremely supportive. Most faculty have an open-door policy so you could just email someone, go to their office and start talking about a research idea. They're really going to help you develop the whole research approach, and thinking about ideas, and taking them from that really half-baked stage to something more advanced. Being able to approach whatever faculty I'm most interested in working with, I think that really permeated my whole time here.

Rima Toure-Tillery, ’13: 01:13 Being in the program really helped me see things in a different light. I really developed some new research interests as I learned more about what I didn't know. You can't solve problems that you don't even know existed. It's been a really amazing experience.

Meet Our Students

PhD students in marketing choose Chicago Booth because our multidisciplinary approach gives them the tools and training for a successful career. Recent dissertations have examined everything from customer retention and consumer purchasing decisions to the economics of retail food waste. Recent graduates have accepted positions at leading research institutions, including UCLA and Columbia University, and have gone on to data science careers in industry.

Current Students

Vanessa Alwan

Salman Arif Andrew Bai

Soaham Bharti

Samuel Borislow

Sara Drango

Fatemeh Gheshlaghpour

Nicholas Herzog

Stephanie Hong

Quoc Dang Hung Ho

Daniel Katz

Xinyao Kong

Juan Mejalenko

Natalie Moore

Timothy Schwieg

Semyon Tabanakov Sophie (Jiarui) Wang

Ningyin (Ariel) Xu

Shuqiong (Lydia) Zhao Grace Zhang

Program Expectations and Requirements

The Stevens Doctoral Program at Chicago Booth is a full-time program. Students generally complete the majority of coursework and examination requirements within the first two years of studies and begin work on their dissertation during the third year. For details, see General Examination Requirements by Area in the Stevens Program Guidebook below.

Download the 2023-2024 Guidebook!

Marketing PhD Program

Marketing is an interdisciplinary field that examines the interactions of consumers and businesses in the marketplace. Academic research in marketing draws upon theories and methodology from a wide variety of fields, including psychology, sociology, mathematics, statistics, and economics. Faculty members in Marshall’s marketing department represent numerous theoretical backgrounds and substantive interests. As mentors, they encourage students to identify their own interests and develop the analytic and methodological skills to pursue their own research questions.

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CONCENTRATIONS

Quantitative marketing.

This area of marketing shares theories and methodologies with economics, mathematics, and statistics. Faculty advising students in this area are experts in a variety of topics such as

• Applications of artificial intelligence in marketing
• Understanding how businesses manage social interactions
• The impact of digital platforms on different industries
• Social networks and network structures in markets
• Strategic pricing decisions
• Distribution-channel strategies
• Innovation and product growth
• Global markets

Consumer Psychology

This area of marketing shares theories and methodologies with social and cognitive psychology and behavioral economics. Faculty advising students in this area are experts in a variety of topics such as

• Status and luxury goods
• Branding and consumers’ attachments to brands
• Consumers’ strategies to maintain a positive self-evaluations
• Emotions and their effects on consumers’ valuations of products
• How the use of technology affects consumers’ enjoyment and memories of experiences
• Consumers' responses to service and product failure
• Budgeting and saving decisions
• Consumer Creativity

Developing Marketing Scholars

The aim of the PhD program in marketing at USC is to develop outstanding researchers and prepare them for productive careers in academia. During their studies, students will transition from consumers of knowledge to producers and disseminators of knowledge.

Marshall’s PhD program in marketing is highly selective. The small size of the program allows for close collaborations between students and faculty and for students to tailor their program of study to fit their background and research interests.

From the beginning of the program, students have the opportunity to engage in different research projects and receive guidance and mentorship from faculty experts. Students are strongly encouraged to develop their own research program and have the freedom to pursue their own ideas.

Faculty members are experts in their areas and are highly committed to the training and guidance of PhD students.

Faculty Coordinator: Gülden Ülkümen, Professor of Marketing

REQUIREMENTS

During their first two years in the program, students are required to complete a series of classes in marketing as well as in other departments in Marshall and USC at large.

Within marketing, PhD students complete four marketing seminars (two in quantitative marketing and strategy, two in consumer behavior). These seminars cover the key areas of academic marketing research and provide students a broad perspective of the field of marketing.

Fall Semester — Even Years

MKT 613: Marketing Models in Consumer and Business-to-Business Markets

Spring Semester - Odd Years

MKT 616: Consumer Behavior Theory and Research

Fall Semester - Odd Years

MKT 615 Strategic and Marketing Mix Models

Spring Semester - Even Years

MKT 618: Consumer Behavior and Decision Making

In addition, students take classes in other departments in the business school (e.g., Management and Organizational Behavior, Data Science), as well as in departments across campus (e.g., economics, psychology, statistics, computer science).

First Year Summer Research Paper

The first year paper allows students to develop their own research interest and to demonstrate their research potential. Students develop an original research question and provide initial tests of their predictions. A faculty mentor and other marketing faculty form the first year research paper committee that guides the student’s process.

Qualifying Exam

Following the spring semester of their second year, students will take part in a qualifying exam that leads to the assessment of whether the student is ready for ascension to candidacy. The topics pursued in the qualifying exam often evolve into a substantial portion of the student’s dissertation. A faculty mentor and other faculty members from marketing and from outside the department form the qualifying exam committee that guides the student’s process.

After passing the qualifying exam, students are admitted to PhD candidacy and pursue their research, culminating in their dissertation.

Research Mentorship

Students work with different research mentors over the course of the program. In the first two years, students work with different faculty member each semester, in order to expose students to different researchers and research approaches. By the end of year two, students should have identified a primary research mentor who will guide them until completion of the dissertation, i.e., their faculty advisor.

Year 1: In year 1, the research mentor aims to advise the student with their courses, studies, and overall strategies in the program. Students may assist with a faculty research project if it offers a good learning experience and does not interfere with classes and other program requirements. In some cases, the relationship may involve the student working on their own research project, in which case the research mentor serves as an advisor. Further, the research mentor may be involved in guiding the development of the first-year paper.

Year 2: In year 2, the student should gain further research skills by assisting the faculty mentor with a research project that offers a good learning experience. Activities may include data collection, data cleaning, data organizing, coding, and estimation for empirical projects, and checking models and proofs for theoretical projects. In some cases, the relationship may involve the student working on their own research project, in which case the research mentor serves as an advisor. Further, the research mentor advises the student in developing the second-year paper.

Year 3: In year 3, the student will continue to gain research skills by working on research projects from previous years that should involve different faculty. If not yet done, the student will start developing their own research projects and agenda. The research mentor will primarily serve as an advisor.

Year 4: In year 4, the student will continue to improve their research skills, advancing research projects from previous years, and start new ones. The research mentor will continue to serve as an advisor.

Year 5: In year 5, the research mentor serves to advise the student on completion of the dissertation. In most cases, the advisor will serve as the student’s dissertation chair.

You will work hands-on in a thriving research culture with constant exposure to new and important ideas. Marshall is ranked 5th in the world in research for the years 2018–2022 by the UT-Dallas Research Rankings.

Our faculty regularly publish in the field’s top journals, such as:

• Journal of Marketing
• Journal of Marketing Research
• Journal of Consumer Research
• Marketing Science
• Management Science

Our faculty also continuously publish in the premiere journals of related disciplines

• American Economic Review
• Journal of Personality and Social Psychology
• Journal of experimental Psychology: General
• Psychological Science
• The Rand Journal of Economics

Selective List of Journal Publications With Students

From the very beginning of the program, students collaborate with faculty on research projects with the goal of producing research that will be published in the top journals. Below, please find a selection of recent articles that resulted from these collaborations. * denote current or former PhD students.

Ceylan*, Gizem, Kristin Diehl, and Wendy Wood (forthcoming), “To Imagine or Not to Imagine: A Meta-Analysis Investigating the Effectiveness of Mental Simulation of Positive Experiences on Behavior,” Journal of Marketing .

Ceylan*, Gizem, Kristin Diehl, and Davide Proserpio (forthcoming), “Words Meet Photos: When and Why Visual Content Increases Review Helpfulness,” Journal of Marketing Research .

Chandrasekaran*, Deepa, Gerard J. Tellis and Gareth James (2022), “Leapfrogging, Cannibalization, and Survival during Disruptive Technological Change: The Critical Role of Rate of Disengagement,” Journal of Marketing.

D’Angelo*, Jennifer K., Kristin Diehl, and Lisa A. Cavanaugh. "Lead by Example? Custom-Made Examples Created by Close Others Lead Consumers to Make Dissimilar Choices." Journal of Consumer Research 46, no. 4 (2019): 750-773.

Donovan*, Leigh Anne and Priester, Joseph (2020). Exploring the psychological processes that underlie interpersonal forgiveness: Replication and extension of the model of motivated interpersonal forgiveness. Frontiers in Psychology.

Donovan*, Leigh Anne Novak, and Joseph R. Priester. "Exploring the psychological processes underlying interpersonal forgiveness: The superiority of motivated reasoning over empathy." Journal of Experimental Social Psychology 71 (2017): 16-30.

Dukes, Anthony and Yi Zhu* (2019) “Why Customer Service Frustrates Consumers: Exploiting Hassel Costs by a Tiered Customer Service Organization,” Marketing Science, 38(3): 500-515.

Hong*, Jihoon, Max Wei and Gerard J. Tellis (2022), “Machine Learning for Creativity: How Similarity Networks Can Identify Successful Projects in Crowdfunding,” Journal of Marketing .

Jayarajan*, Dinakar, S. Siddarth, and Jorge Silva-Risso. "Cannibalization vs. competition: An empirical study of the impact of product durability on automobile demand." International Journal of Research in Marketing 35, no. 4 (2018): 641-660.

Paulson*, Courtney, Lan Luo, and Gareth M. James. "Efficient large-scale internet media selection optimization for online display advertising." Journal of Marketing Research 55, no. 4 (2018): 489-506.

Pei*, Amy, and Dina Mayzlin (2021), "Influencing the Influencers." Marketing Science, forthcoming.

Proserpio, Davide, Isamar Troncoso*, and Francesca Valsesia* (2021) "Does gender matter? The effect of management responses on reviewing behavior." Marketing Science, Forthcoming.

Gerard J. Tellis, Ashish Sood, Nitish Sood, Sajeev Nair* (2023), “Lockdown Without Loss? A Natural Experiment of Net Payoffs from to Covid COVID-19,” Journal of Public Policy and Marketing .

Troncoso*, Isamar and Lan Luo (2023), “Look the Part? The Role of Profile Pictures in Online Labor Marketplace,” Marketing Science .

Valsesia*, Francesca and Kristin Diehl (2022), “Let Me Show You What I Did Versus What I Have: Sharing Experiential Versus Material Purchases Alters Authenticity and Liking of Social Media Users,” Journal of Consumer Research¸ Volume 49, October, p. 430-449.

Tellis, Gerard J., Deborah J. MacInnis, Seshadri Tirunillai*, and Yanwei Zhang*. "What drives virality (sharing) of online digital content? The critical role of information, emotion, and brand prominence." Journal of Marketing 83, no. 4 (2019): 1-20.

Valsesia*, Francesca, Kristin Diehl, and Joseph C. Nunes (2017), “Based on a True Story: Making People Believe the Unbelievable,” Journal of Experimental Social Psychology, 71, 105-110

Valsesia*, Francesca, Joseph C. Nunes, and Andrea Ordanini (2021), “I Am Not Talking to You: Partitioning an Audience in an Attempt to Solve the Self-Promotion Dilemma,” Organizational Behavior and Human Decision Processes, 165, 76-89.

Valsesia*, Francesca, Davide Proserpio, and Joseph C. Nunes. "The Positive Effect of Not Following Others on Social Media." Journal of Marketing Research (2020): 0022243720915467.

Xu*, Zibin, Yi Zhu and Shantanu Dutta (Forthcoming), “Platform Screening Strategies And The Role of Niche Sellers on Service Provision”, International Journal of Research in Marketing

Xu*, Zibin and Anthony Dukes, (2021) “Personalization, Customer Data Aggregation, and the Role of List Price,” Management Science, forthcoming.

Xu*, Zibin, and Anthony Dukes. "Product line design under preference uncertainty using aggregate consumer data." Marketing Science 38, no. 4 (2019): 669-689.

Zhang*, Mengxia and Lan Luo (2023), “Can Consumer Posted Photos Serve as a Leading Indicator of Restaurant Survival? Evidence from Yelp,” Management Science , Vol. 69, No. 1, 25–50

Zhu*, Yi and Anthony Dukes (2017), “Prominent Attributes under Limited Attention,” Marketing Science, 36(5): 683-698.

Faculty Honors

The research of our faculty has been recognized repeatedly as innovative and highly impactful. Faculty members have been named fellows in the field’s leading professional organizations.

• American Marketing Association IO Lifetime Achievement Award
• Vijay Mahajan Lifetime Contribution to Marketing Strategy Award
• Alpha Kappa Psi Award
• Harold H. Maynard Award
• William F. O’Dell Award
• Donald R. Lehmann Award
• John D.C. Little Award
• INFORMS Society for Marketing Science Long-term Impact Award
• Fellow of INFORMS Society for Marketing Science
• Fellow of American Marketing Association
• Fellow of Association of Consumer Research
• Fellow of Society of Consumer Psychology

Proven Thought Leaders

Our faculty have a substantial role in shaping the discipline through their positions as editors, associate editors and editorial board members of:

• Journal of Consumer Psychology

Our faculty also include former presidents of major professional organizations, such as the Association for Consumer Research, the Association for Consumer Psychology, and INFORMS Society of Marketing Science (ISMS).

Program Culture

The culture of the program is research focused, collegial, supportive, and highly interactive. PhD students are “junior colleagues” encouraged to participate in academic research with faculty from the very beginning. The low PhD student/faculty ratio coupled with the marketing faculty’s “open door” policy promotes frequent and meaningful interactions between faculty and students about research, careers and teaching. Students also serve as colleagues and mentors to each other and often develop papers together.

Research Environment Faculty and students attend weekly scholarly presentations from invited faculty from around the world. In addition internal brown bag seminars and reading groups allow students and faculty to exchange ideas and receive feedback on research topics.

Student Background Our students come from all of over the world. They have strong academic backgrounds and bring with them a variety of experiences prior to joining the program.

Awards Marketing Ph.D. students have contributed to the field by publishing in leading journals and winning numerous prestigious research awards, including the SCP Sheth Award and the William O’Dell Award for long term contributions to marketing for articles published in the Journal of Marketing Research. Students have been recipients of INFORMS Society for Marketing Science (ISMS) Doctoral Dissertation Competition Award, finalists for the John D. Little Award for best paper in Marketing Science, and early career achievement award in marketing. Student research proposals have been funded by the Marketing Science Institute (MSI) and the Institute for The Study of Business Markets (ISBM).

PHD STUDENTS

Stephan (steve) carney.

• PhD Student in Marketing

Maansi Dalmia

Aparna jayaram, soohyun kim.

Our PhD graduates contribute to marketing research and practice throughout the world. We have a long history of mentoring PhD students who are on the faculty of top universities around the world.

Recent Placements (2023-2019)

Elisa Solinas (2023) Assistant Professor, IE, Spain

Wensi Zhang (2023) Assistant Professor, University of Texas at Dallas, USA

Gizem Ceylan (2022) Postdoctoral Researcher, Yale University

Ilya Lukibanov (2022) Data Scientist, AXS, USA

Sajeev Nair (2022) Assistant Professor, University of Kansas, USA

Isamar Troncoso (2022) Assistant Professor, Harvard Business School, USA

Chaumanix Dutton (2021) Assistant Professor, Arizona State University, USA

Jihoon Hong (2021) Assistant Professor, Arizona State University, USA

Mengxia Zhang (2021) Assistant Professor, Ivey Business School, Western University, Canada

Jennifer D'Angelo (2020) Assistant Professor, TCU, USA

Amy Pei (2020) Assistant Professor, Northeastern University, USA

Yao Yao (2019) Assistant Professor, San Diego State University, USA

APPLYING TO THE PhD PROGRAM

Dates + deadlines.

December 15, 2023: Application Deadline - Accounting, Data Sciences & Operations, and Management & Organization* 

January 15, 2024: Application Deadline - Finance & Business Economics and Marketing 

The link to the PhD Program application is available on the Admissions page and the next opportunity to apply is for Fall 2024 admission. Late applications may or may not be considered at the discretion of the admissions committee. 

Admissions decisions are made from mid-February to mid-April. You will be notified by email when a decision has been made.

ADMISSIONS CONTACT

Ph.D. Program USC Marshall School of Business 3670 Trousdale Parkway, BRI 306 Los Angeles, California 90089-0809 EMAIL

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From the Marketing Chair

"Welcome and thank you for your interest in a Ph.D. in marketing from UCLA Anderson! Marketing is a broad area, and we encourage curious individuals with strong economics, psychology or business training, as well as documented research experience, to apply. Our Ph.D. program is designed to allow students to concentrate in either a behavioral or quantitative marketing track, with training in economics and psychology to complement your coursework within marketing. We foster a collaborative environment and work hard to establish our students as successful researchers with strong publication records prior to graduation. Our excellent track record of placing our students in top research schools around the world speaks to the strength of our approach. To learn more about what our program focuses on, and to clarify the match to your own research interests, we strongly encourage you to read more on these pages about the work done by our faculty and students. "

Hal Hershfield, Ph.D. Marketing Chair

Explore the Program

Milestone publications.

People Who Choose Time over Money Are Happier Hal Hershfield and Cassie Mogilner Holmes

Although thousands of Americans say they prefer money, having more time is associated with greater happiness.  

Read Publication

Effects of Internet Display Advertising in the Purchase Funnel Randy Bucklin

Model-based insights from a randomized field experiment analyzed the value of reallocating display ad impressions across users at different stages.  

The Benefits of Emergency Reserves: Greater Preference and Persistence for Goals That Have Slack with a Cost Suzanne Shu

The exploration of how marketer-based programs designed to help consumers reach goals face dual challenges of consumer signup and motivating consumers to reach desirable goals.  

Alumni Success

Julia Levine (’23)

Dissertation: State Dependence in Brand, Category and Store Choice

Sherry He (’23)

Dissertation: Essays on Platform Policies, Ratings and Innovation

Kate Christensen (’21)

Dissertation: Moving Through Time: How Past and Future Connections Impact Consumer Decisions

Marissa Sharif (’17)

Dissertation: The Emergency Reserve: Benefits of Providing Slack with a Cost

Wayne Taylor (’17)

Dissertation: Modeling Customer Behavior in Loyalty Programs

Elizabeth Webb (’14)

Dissertation: Understanding Risk Preference and Perception in Sequential Choice

Claudia Townsend (’10)

Dissertation: The Impact of Product Aesthetics in Consumer Choice

Oliver Rutz (’07)

First academic placement: Yale University Dissertation: Essays in Cooperative Game Theory

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MARKETING PH.D.

VIBRANT, SMART, AND CURIOUS

Over the last ten years, 100 percent of marketing Ph.D. students have accepted academic positions upon graduating, thanks in large part to faculty mentors at the top of their game.

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RESEARCH BREADTH

The world is your laboratory.

ACADEMIC LIFE AT McCOMBS

Mentorship and practice.

CAREER PLACEMENT

The world needs you, application deadline.

The application deadline for the Marketing Doctoral Program is December 15th.

Extraordinary business and economic growth have ushered in exciting times in our Marketing Department, with many graduates starting their careers at the world's leading research institutions. The program's primary goal is to develop students into skilled researchers and future leaders in academia by creating and disseminating marketing knowledge that reshapes the marketplace.

Consumer Behavior

Research focuses on issues related to the acquisition and retention of consumers and consumers' consumption of goods, services, ideas, and experiences. The research both relies on and contributes to theory in marketing, psychology, sociology, and economics and has practical relevance, answering questions that inform and improve marketing and public policy decisions and individual-level consumer well-being.

Marketing Strategy

Research focuses on issues related to firms' strategies and behaviors, including topics such as innovation management, sales force management, distribution channels, market entry strategy, technology strategy, new venture marketing, customer relationship management, and marketing metrics. The research spotlights substantive real-world problems, and generally, the insights from marketing strategy research have direct and actionable implications for marketing practice.

Quantitative Marketing

Research focuses on developing theoretical models and empirical methods for applied marketing problems, drawing from economic theory, statistics, econometrics, and computer science to uncover novel insights, challenge existing theory, and advance marketing practice. The research, combining computational advances, fruitful collaborations with industry, and explosive growth in data availability, along with strong student demand for analytical training, portends a fulfilling academic career for those interested in quantitative marketing.

RESEARCH METHODOLOGIES

A wide variety of research designs is used, and mastery of quantitative and qualitative data analysis techniques is essential.

PREPARATION AND QUALIFICATIONS

The Texas McCombs Marketing doctoral program assumes that students have taken advanced courses to establish a reasonable mathematical, statistics, and economics background. Adequate computer programming skills are necessary for coursework.

Prospective applicants are required to hold a four-year bachelor's degree (does not require a formal degree in the area of study) or equivalent before starting the program. There are no additional prerequisites or requirements for the Marketing department.

See Admissions for further information.

CAREER DESTINATIONS

The primary goal of the Texas McCombs Ph.D. program is to prepare students for exceptional academic careers. Over the last five years, McCombs Marketing Ph.D. alumni have excelled at top institutions globally.

Recent Graduate Placements

Current students and *job market candidates.

Abbott, Paige

Alam, Meher

Basak, Somdatta,

Chavez Montes, Marcelino

Gautam, Aprajita

Ghosh, Robina

Niknejad Moghadam, Mahdi*

Nivsarkar, Anima

Shu, Runyang

Sridhar, Sachin

Urdaneta Romano, Constanza

Winer, Sarah

Wu, Xiaohan Jessica

Yu, Lingzhi

Zhang, Zhengwei (Harrison)

Paige Abbott

Somdatta Basak

Marcelino Chavez

Aprajita Gautam

Robina Ghosh

Mahdi niknejad moghadam*.

Anima Nivsarkar

Runyang Shu

Sachin Sridhar

Constanza Urdaneta Romano

Sarah Wiener

Xiaohan (Jessica) Wu

Zhengwei (Harrison) Zhang

ARE YOU READY TO CHANGE THE WORLD?

The Texas McCombs Doctoral Program is seeking individuals who are interested in transforming the global marketplace. Are you one of these future thought leaders?

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The Marketing PhD program prepares students to advance knowledge on the complex interactions between consumers and markets. Students work collaboratively with faculty and gain the experimental, quantitative and analytical skills necessary to conduct research on the drivers of consumer behavior, the mechanisms of consumer decision-making and the indicators of firms’ strategic success.

Research interests of marketing faculty and doctoral students include consumer financial decision-making, marketing communication and persuasion, innovation, pricing, corporate social responsibility, social network effects, and social listening.

World-class training

Marketing PhD students are trained to become thought leaders in academic marketing research. The curriculum provides expert-level training in statistical and experimental methods, quantitative marketing, predictive modeling and theory building.

We employ a junior-collaborator training model: Our award-winning faculty leverage their expertise to help students grow into independent thinkers. Doctoral students build a portfolio of research projects that are relevant to many stakeholders, including researchers, practitioners and policy-makers.

Additional  information about our Marketing faculty  can be found here

General details about the curriculum, requirements, and structure of the  program can be found here . Please be aware this document is not an exhaustive list of the requirements for the Program.

How to Apply

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Read about recent graduate Mohammad Zia’s dissertation research.

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Research rankings.

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The PhD in Management Science with a marketing concentration trains students to become the next-generation of marketing faculty at business schools in leading research-oriented universities. Students are trained in advanced techniques in marketing and allied disciplinary areas to deal with substantive problems, both theoretical and applied, in the field of marketing. Graduates develop a research specialization and have a clear perspective on marketing issues.

Research Strength

UTD marketing faculty are well-regarded for their research and are highly ranked based on research publications. See research rankings below.

Quantitative Focus

Large marketing faculty working on variety of quantitative research makes UTD ideal for students with a quantitative bent to explore and discover their research interests. See faculty information below.

Rigorous Training

Through coursework and mentoring, UTD marketing faculty rigorously train students to develop high quality research and become successful scholars. See recent student research publications below.

Admission Procedures

Students who apply to the program should have at least a bachelor’s degree from an accredited university by the time of expected enrollment in our program. While many successful applicants have a master’s degree, this is not a requirement for admission. Admission decisions are based on grades, graduate examination test scores, letters of reference (at least three with at least two from academic professionals), a written statement of objectives, and other relevant information available at the time of admission.

We are especially interested in students with strong initiative, curiosity, creative thinking, and a strong aptitude for quantitative research. Prior knowledge of quantitative topics such as linear algebra, calculus, probability will be particularly relevant.

The Jindal School of Management starts making first-round admission decisions on December 9, therefore it is best to complete the entire application process no later than December 8. While applications will be accepted after that date, applying after December 8 may significantly lower your chance of acceptance. Applications for admission can be made using the UT Dallas Graduate Application Web site .

Dr. Upender Subramanian

Phd area coordinator, marketing.

[email protected] | (972) 883-6525 | JSOM 13.508

The marketing area has 15 tenured and tenure-track faculty members. Faculty research is broad using Bayesian statistics, behavioral economics, econometrics, empirical analysis, experimental economics, game theory and machine learning.

The faculty are recognized for their research and occupy editorial positions at leading journals, including a department editor of top journal Management Science , three associate editors of major marketing journals, and several others on the editorial boards of these journals.

Tenure and tenure-track Marketing faculty: Khai Chiong , Sanjay Jain , Joonhwi Joo , Tongil Kim , Xinyao Kong Dmitri Kuksov , Nanda Kumar , Samir Mamadehussene , B.P.S. Murthi , Ram Rao , Brian Ratchford , Upender Subramanian , Shervin Tehrani , Ying Xie & Wensi Zhang .

Get familiar with faculty research

UTD Marketing faculty are highly active researchers, presently ranked #4 worldwide in quantitative marketing research based on publications in top two quantitative marketing journals Marketing Science and Journal of Marketing Research .

Research scores are calculated from The UTD Top 100 Business School Research Rankings™ .

Doctoral Student Publications on Marketing Topics

Students are actively encouraged to publish while in the program, and often collaborate on faculty research papers with UTD professors. A list of Marketing PhD current student and graduate publications with UTD faculty is as follows (student names in bold):

Mina Ameri, Elizabeth Honka, and Ying Xie (2023), “From Strangers to Friends: Tie Formation and Online Activities in an Evolving Social Network,” 2023, Journal of Marketing Research.

Kuksov, Dmitri, and Chenxi Liao (2023) “Restricting Speculative Reselling: When ‘How Much’ is the Question,” Marketing Science.

Manish Gangwar , Nanda Kumar and Ram C Rao (2021). “Pricing Under Dynamic Competition when Loyal Consumers Stockpile” Marketing Science

Sanjay Jain and Kun Qian (2021), “Compensating Online Producers: A Theoretical Analysis”, Management Science .

Dmitri Kuksov and Mohammad Zia (2021), “Benefits of Customer Loyalty in Markets with Endogenous Search Costs”, Marketing Science .

Xiaolin Li, Chenxi Liao and Ying Xie (2021), “Digital Piracy, Creative Productivity, and Customer Care Efforts”, Marketing Science

Jayarajan Samuel , Eric Zheng and Ying Xie, “Value of Local Showrooms to Online Competitors” MIS Quarterly .

Yiyi Li and Ying Xie (2020), ““Is a Picture Worth a Thousand Words? An Empirical Study of Imagery Content and Social Media Engagement”, Journal of Marketing Research

Ye Qiu and Ram C Rao (2020), “Increasing Retailer Loyalty Through Use of Cash Back Rebate Sites”, Marketing Science .

Mina Ameri , Elizabeth Honka and Ying Xie (2019) “Word-of-Mouth, Observed Adoptions, and Anime Watching Decisions: The Role of the Personal versus the Community Network” 2019, Marketing Science .

Harish Guda and Upender Subramanian (2019) “Your Uber is Arriving: Managing On-Demand Workers through Surge Pricing, Information Sharing and Worker Incentives” Management Science .

Yiyi Li , Ying Xie and Eric Zheng (2019), “Modeling Multi-Channel Advertising Attribution Across Competitors” MIS Quarterly .

Mohammad Zia and Ram C Rao (2019) “Search Advertising: Budget Allocation Across Search Engines”, Marketing Science .

Dmitri Kuksov and Chenxi Liao (2018) “When Showrooming Increases Retailer Profit,” Journal of Marketing Research .

Juncai Jiang , Nanda Kumar and Brian Ratchford (2017), “Price Matching Guarantees with Endogenous Search”, Management Science .

Dmitri Kuksov, Ashutosh Prasad, and Mohammad Zia (2017) “In-Store Advertising by Competitors,” Marketing Science .

We strive to help our students obtain the best placements and expect they will emerge as leaders in marketing science. At the same time, we place our students in both academic and non-academic positions keeping in mind the individual student’s interests.

Degree Requirements

Students must complete at least 75 semester hours of approved graduate work before a degree may be conferred. Credit may be granted for graduate courses taken elsewhere.

Calculus, matrix algebra, computer programming and statistics are prerequisites for the doctoral program – every admitted student is responsible for ensuring he/she has satisfied these prerequisite requirements before joining the program.

Doctoral students in Management Science benefit from an exposure to multiple functional areas in management. To ensure this benefit, students who enter the program without an MBA (or equivalent degree) are required to complete a combined minimum of four courses (at the master’s or doctoral level) in at least three functional areas. This cross-functional exposure is particularly useful for students engaging in cross-functional research, in positioning their research for wider appeal, and for effectively teaching business school students with diverse specializations.

The Management Science PhD core curriculum consists of a minimum of 9 courses.

Please visit the Management Science Degree Plan page for core and secondary core course requirements.

Students are required to take at least four doctoral-level seminars in marketing.

Students will be asked to take other advanced graduate level courses in statistics, economics and operations research as appropriate to their program. They may also be asked to undertake independent study on one or more appropriate topics. Finally they are required to take a course in written and oral communication provided by the school during their second summer.

PhD in Marketing students take a written preliminary exam at the end of their first year in the program over a set of core methodology courses (ECON 6309 Econometrics I, MECO 6315 Statistics, MECO 6345 Advanced Managerial Economics, MECO 6350 Game Theory, OPRE 7353 Optimization). The purpose of the exam is to assess the student’s degree of mastery of the research methods covered in the first year of course work. Students are also required to write an original research paper in their first summer.

As with the preliminary examination, the qualifying examination consists of the written exam taken in the summer at the end of the second year and an original research paper (second year paper) due August 31st. The written exam is designed to test the knowledge of the methodology and literature important for quantitative marketing research, and allows some degree of concentration in either primarily empirical or primarily analytical areas. The paper is expected to be presented at the beginning of the Fall semester of the third year.

PhD students must successfully complete the preliminary and qualifying examinations, respectively, to enter PhD candidacy. The area faculty will determine whether a student has successfully completed the exam requirements based on the student’s performance. Criteria to evaluate students may include results from the in-class written portion of the exams, quality of research papers and/or presentations, performance in special courses (e.g. seminar courses), satisfactory GPA as determined by area faculty, and other forms of assessment as required by the student’s area. An unsatisfactory performance in any one criteria for either the preliminary examination or the qualifying examination may result in dismissal from the program.

Once the student has passed qualifying exam and paper requirements, work on the dissertation can commence. The dissertation is written under the direction of the dissertation committee. Twelve to 24 semester hours may be granted for the dissertation toward the minimum 75-hour requirement for the degree. At a time mutually agreeable to the candidate and the dissertation committee, the candidate must orally defend the dissertation to the committee.

The Dissertation Proposal must be successfully defended at least one semester prior to the term of graduation. The requirements for the proposal defense should be discussed with the dissertation committee prior to scheduling the defense. Dissertation Proposal Defenses will be open to all faculty and PhD students of the Jindal School of Management.

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Ready to start your PhD application?

Before you apply, get familiar with the admission requirements and application process for Jindal School PhD programs at UT Dallas.

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About the Program

The Wisconsin PhD Program in marketing is designed to prepare students for academic careers at top universities. A career as a marketing faculty member offers a high degree of intellectual stimulation, creative freedom, and the opportunity to develop and disseminate new knowledge via research and teaching.

Core Areas of Research

Student research is supported by faculty in three core areas:

Quantitative modeling

Consumer behavior

Marketing strategy

Our faculty members contribute to significant advancements in the theory and practice of marketing, as evidenced by our recently published journal articles .

Academic Requirements

All students must meet the general PhD requirements of both the UW–Madison Graduate School and the Wisconsin School of Business. Prospective students should possess:

• A bachelor’s degree in accounting, finance, management, economics, or operations and information management OR
• A minimum of four courses from two or more of the following areas: accounting, finance, management, economics, and operations and information management
• Competency at an intermediate level of statistics

Program Coursework

Students complete four PhD seminar courses in marketing from the core areas of research: quantitative modeling, consumer behavior, and marketing strategy. These seminar offerings vary from year to year.

Students complete four courses at the graduate level, either inside or outside the Wisconsin School of Business, including at least one course in the methods of data collection and at least one in the methods of data analysis.

See Guide for all course requirements

Faculty Research Interests

Neeraj Arora Research interests: Choice models Experimental design Big data analytics Machine learning Bayesian statistics View full profile Ishita Chakraborty Research interests: Digital Marketing Unstructured Data – Text, Video Analytics Machine Learning/Deep Learning Fairness and Bias Salesforce Recruitment and Training View full profile Kevin YC Chung Research interests: Quantitative marketing Empirical industrial organization Choice models Endorsement marketing Emerging markets Credence goods View full profile Remi Daviet Research interests: Deep Learning & AI Bayesian & Computational Statistics Consumer Decision Making Advertising Neuro-Genomics View full profile Amber Epp Research interests: Understanding collective phenomena, including the interplay of relational identities, collective goals, and network agency Group decision-making View full profile Cheng He Research interests: Causal inference Policy evaluation Modern retailing Consumer search Financial decision-making View full profile Jan Heide Research interests: Channels of distribution Strategic partnerships Interorganizational relationships Marketing strategy View full profile Aziza Jones Research interests: Status and Identity Signaling Social-Signaling Donation Behavior Parental Spending View full profile Tarun Kushwaha Research interests: Marketing – finance interface Marketing channels Impact of crisis Global marketing View full profile Qing Liu Research interests: Quantitative modeling of marketing data Bayesian methods Experimental design Conjoint analysis Consumer choice Big data analytics View full profile Yi Liu Research interests Technology and platforms Economics of AI Theoretical models in marketing   View full profile C. Page Moreau Research interests: Consumer learning and knowledge transfer New product development and acceptance Creativity and design View full profile Neil Morgan Research interests: Marketing capabilities Brand Strategy Marketing strategy Marketing performance assessment View full profile Joann Peck Research interests: Haptics Interpersonal touch Non-verbal behaviors more broadly Psychological ownership Individual difference measures View full profile Evan Polman Research interests: Consumer and managerial decision-making Creativity Ethics Emotions Psychology experiments View full profile J. Craig Thompson Research interests: Philosophy of science Postmodern culture Consumer lifestyles and motivations Gender issues and consumption View full profile Connect With Current Students

We encourage you to contact our doctoral students in marketing to hear their perspectives on the Wisconsin PhD Program.

View current student profiles

See Our Placement Results

Graduates of our PhD specialization in marketing have accepted tenure-track positions at top research universities.

View recent placements

Evan Polman

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MRes/PhD in Management - Marketing

• Graduate research
• Department of Management
• Application code N2Z2
• Starting 2024
• Home full-time: Closed
• Overseas full-time: Closed
• Location: Houghton Street, London

This programme offers you the chance to undertake a substantial piece of work that is worthy of publication and which makes an original contribution to the field of marketing. You will begin on the MRes and will need to meet certain requirements to be upgraded to PhD status.

The MRes/PhD in Management – Marketing is part of a rigorous and interdisciplinary graduate training programme designed to stimulate critical thinking and creative ideas and provide you with the analytical skills to test hypotheses.

As a research-led department of management  ranking #5 in our field , we aim to produce top-quality social scientists who are able to engage with the conceptual foundations of marketing – such as consumer behaviour and quantitative modelling – and employ robust methods in their research.

The Marketing faculty group’s research is internationally recognised for its potential to impact practice in the field (e.g., Marketing Science Institute’s Young Scholar Award, Google-WPP Marketing Research Award, AMA-SIG Awards, AMA-SRT Forum Award, and Society for Judgment and Decision Making Awards). Faculty have diverse academic backgrounds (physics, economics, psychology, marketing, and management), interdisciplinary research interests, and a variety of methodological approaches (econometrics, lab experiments, field experiments, and surveys). Accordingly, the research strategy of the faculty is to focus on pursuing fundamental research questions that have a bearing on critical marketing issues like consumer decision making, managing new products and innovations, pricing strategy, advertising, and channels of distribution.

You will work closely with the Marketing faculty as part of a vibrant doctoral student community. The programme includes a comprehensive methodological training with the opportunity to specialise in a designated field.

Programme details

For more information about tuition fees and entry requirements, see the fees and funding and assessing your application sections.

Entry requirements

Minimum entry requirements for mres/phd in management - marketing.

Upper second class honours (2:1) degree in any discipline, or the equivalent.

Competition for places at the School is high. This means that even if you meet our minimum entry requirement, this does not guarantee you an offer of admission.

If you have studied or are studying outside of the UK then have a look at our  Information for International Students  to find out the entry requirements that apply to you.

GRE/GMAT requirement

The GRE/GMAT is required for all applicants. We do not require a specific GRE/GMAT overall score but the test gives us an indication of your aptitude for our programmes. There is no preference for GMAT or GRE but all applications must submit scores at the time of application. Your score should be less than five years old on 1 October 2024.

See  LSE information on GRE and GMAT  for more detail on our requirements and submission of test scores, including information on LSE’s institution codes.

Assessing your application

We welcome applications for research programmes that complement the academic interests of members of staff at the School, and we recommend that you investigate  staff research  interests before applying.

We carefully consider each application on an individual basis, taking into account all the information presented on your application form, including your;

• academic achievement (including existing and pending qualifications)
• academic statement of purpose ( see guidance on writing your statement of purpose )
• academic references ( see guidance on references )
• GMAT/GRE ( how your scores are reviewed )
• outline research proposal ( see guidance on writing your research proposal )
• sample of written work

See LSE Graduate Admissions information on supporting documents

You may also have to provide evidence of your English proficiency. You do not need to provide this at the time of your application to LSE, but we recommend that you do.  See our English language requirements.

When to apply

The application deadline for this programme is 15 January 2024 . See the fees and funding section for more details.

How to apply

To apply online go to the LSE Application System .

We do not require a specific overall score but the test gives us an indication of aptitude for our programmes. A strong GMAT or GRE score will count in your favour, but other information, such as your research interests, your examination results, previous qualifications and references are central to our overall evaluation of your application. We recognise that if your first language is not English, the verbal test will be more demanding and we view your score on that basis.

Fees and funding

Every research student is charged a fee in line with the fee structure for their programme. The fee covers registration and examination fees payable to the School, lectures, classes and individual supervision, lectures given at other colleges under intercollegiate arrangements and, under current arrangements, membership of the Students' Union. It does not cover  living costs  or travel or fieldwork.

Tuition fees 2024/25 for MRes/PhD in Management - Marketing

Home students: £4,829 for the first year (provisional) Overseas students: £22,632 for the first year

The fee is likely to rise over subsequent years of the programme. The School charges home research students in line with the level of fee that the Research Councils recommend. The fees for overseas students are likely to rise in line with the assumed percentage increase in pay costs (ie, 4 per cent per annum).

The Table of Fees shows the latest tuition amounts for all programmes offered by the School.

The amount of tuition fees you will need to pay, and any financial support you are eligible for, will depend on whether you are classified as a home or overseas student, otherwise known as your fee status. LSE assesses your fee status based on guidelines provided by the Department of Education.

Further information about fee status classification.

Scholarships, studentships and other funding

The School recognises that the  cost of living in London  may be higher than in your home town or country, and we provide generous scholarships each year to home and overseas students.

This programme is eligible for  LSE PhD Studentships , and  Economic and Social Research Council (ESRC) funding . Selection for the PhD Studentships and ESRC funding is based on receipt of an application for a place – including all ancillary documents, before the funding deadline.

Financial Aid and Funding sorted by research degree programme for applicants in the Department of Management.

Funding deadline for LSE PhD Studentships and ESRC funding: 15 January 2024

In addition to our needs-based awards, LSE also makes available scholarships for students from specific regions of the world and awards for students studying specific subject areas.   Find out more about financial support.

External funding 

There may be other funding opportunities available through other organisations or governments and we recommend you investigate these options as well.

Information for international students

LSE is an international community, with over 140 nationalities represented amongst its student body. We celebrate this diversity through everything we do.  

If you are applying to LSE from outside of the UK then take a look at our Information for International students . 

1) Take a note of the UK qualifications we require for your programme of interest (found in the ‘Entry requirements’ section of this page). 

2) Go to the International Students section of our website. 

3) Select your country. 

4) Select ‘Graduate entry requirements’ and scroll until you arrive at the information about your local/national qualification. Compare the stated UK entry requirements listed on this page with the local/national entry requirement listed on your country specific page.

Programme structure and courses

Research practicums.

For the duration of your 2-year MRes programme, you will engage in active research, called Research Practicums, with different members of Faculty. The rotation of practicum assignments will include one-to-one training and collaboration that provides you better understanding of the research process, e.g.;

• literature reviews,
• applied research methods and practices,
• determining theory-driven,
• testable hypotheses,
• identifying appropriate methods and samples,
• coding and data analysis,
• conducting analyses,
• evaluating findings and implications,
• writing manuscripts for the academic peer-reviewed process with ultimate goal of publication in top-tier academic journal.

First year (MRes)

Study in the first year includes a doctoral seminar in Marketing, and the option to choose courses in Microeconomics, Econometrics, advanced Statistics, and quantitative methods courses.

All first year doctoral students in the Department of Management take the seminar course on A Social Sciences Perspective of Academic Research in Management.

Should you wish to study Microeconomics, you will need to attend the Introductory Course in Mathematics and Statistics. This course begins before the start of the academic year, normally in late August.

Should you wish to study Econometrics or Statistics in your first year you should have completed an undergraduate level course and have sufficient prior academic training in econometrics and statistical theory.

You also have the option to apply to take relevant external courses with our partner institutions, such as the London Business School, with approval of the Programme Director.

Courses include:

Marketing I or Marketing II: Consumer Behaviour and Quantitative Modelling (Marketing II is suspended for 2024/25)

In the area of Consumer Behaviour you will become familiar with research in cognitive psychology, social psychology, and marketing on information processing and judgment and decision making related topics to better understand and develop marketing strategies that affect consumer behaviour. In the area of quantitative modelling you will develop the quantitative foundations for marketing decisions. Both theoretical models which help analyse marketing issues, and decision-support models will be covered

Microeconomics 1 or Statistical Inference: Principles, Methods and Computation

Prior to starting the programme you will decide with your Programme Director if your research interests require you to take either Microeconomics, Statistical Inference, or quantitative methods.

Econometrics or Quantitative Research Methods

You may choose either to study a course in Econometrics, or take additional methodology training depending on your previous research design training and research interests.

A Social Sciences Perspective of Academic Research in Management

Along with all MRes/PhD and MPhil/PhD students from across the Department of Management Research programmes you will participate in a seminar on the nature of scientific enquiry in the Social Sciences. The seminar series is led by members of the Faculty across the Department and provides an interdisciplinary collaborative perspective and the opportunity for students to develop academic presentation skills

Second year (MRes)

In the second year, you will continue to participate in Research Practicums and the Marketing Seminar. You will take elective courses in Economic, Statistics or quantitative methods, data mining and analysis. Courses taken will depend on your previous training, intellectual requirements and preferences. You will write a research paper in your field of interest which will form an important element in your upgrade to PhD.

Applied Regression, Multivariate Analysis and Measurement, or Causal Inference for Observational and Experimental Studies.

Microeconomics, Econometric Analysis

Generalised Linear Modelling and Survival Analysis, Longitudinal Data Analysis, Machine Learning and Data Mining

Research Paper in Management

Third, fourth and fifth year (PhD)

Upon successfully completing the MRes and progressing to the PhD, you will work on your research and write your PhD thesis.

Throughout the 3-5 years there are regular reviews on your research progress and in the final year you prepare a detailed plan of work for the successful submission of your thesis.  Throughout your PhD you will be expected to show the continued development of research ideas for publication, participation in relevant training courses and career development activities.

For the most up-to-date list of courses please visit the relevant  School Calendar page .   

You must note, however, that while care has been taken to ensure that this information is up to date and correct, a change of circumstances since publication may cause the School to change, suspend or withdraw a course or programme of study, or change the fees that apply to it. The School will always notify the affected parties as early as practicably possible and propose any viable and relevant alternative options. Note that the School will neither be liable for information that after publication becomes inaccurate or irrelevant, nor for changing, suspending or withdrawing a course or programme of study due to events outside of its control, which includes but is not limited to a lack of demand for a course or programme of study, industrial action, fire, flood or other environmental or physical damage to premises.  

You must also note that places are limited on some courses and/or subject to specific entry requirements. The School cannot therefore guarantee you a place. Please note that changes to programmes and courses can sometimes occur after you have accepted your offer of a place. These changes are normally made in light of developments in the discipline or path-breaking research, or on the basis of student feedback. Changes can take the form of altered course content, teaching formats or assessment modes. Any such changes are intended to enhance the student learning experience. You should visit the School’s  Calendar ,  or contact the relevant academic department, for information on the availability and/or content of courses and programmes of study. Certain substantive changes will be listed on the  updated graduate course and programme information  page.

Supervision, progression and assessment

Supervision.

You do not need to have identified a supervisor prior to application. During your MRes you will be supervised by the PhD Directors of Marketing programme.

During the first two years of the programme, you will participate in Research Practicums, working in collaboration with different faculty mentors. Each research practicum will enable you to participate in research activities, understand Faculty research interests, and develop your own research skills. Your PhD supervisor will be appointed when you upgrade to PhD.

Progression and assessment

You will need to meet certain criteria to progress to each subsequent year of the programme, such as achieving certain grades in your coursework and engaging in all aspects of the programme.

Your final award will be determined by the completion of an original research thesis and a viva oral examination.

Student support and resources

We’re here to help and support you throughout your time at LSE, whether you need help with your academic studies, support with your welfare and wellbeing or simply to develop on a personal and professional level.

Whatever your query, big or small, there are a range of people you can speak to who will be happy to help.  

Department librarians   – they will be able to help you navigate the library and maximise its resources during your studies. 

Accommodation service  – they can offer advice on living in halls and offer guidance on private accommodation related queries.

Class teachers and seminar leaders  – they will be able to assist with queries relating to specific courses. 

Disability and Wellbeing Service  – they are experts in long-term health conditions, sensory impairments, mental health and specific learning difficulties. They offer confidential and free services such as  student counselling,  a  peer support scheme  and arranging  exam adjustments.  They run groups and workshops.  

IT help  – support is available 24 hours a day to assist with all your technology queries.   

LSE Faith Centre  – this is home to LSE's diverse religious activities and transformational interfaith leadership programmes, as well as a space for worship, prayer and quiet reflection. It includes Islamic prayer rooms and a main space for worship. It is also a space for wellbeing classes on campus and is open to all students and staff from all faiths and none.   

Language Centre  – the Centre specialises in offering language courses targeted to the needs of students and practitioners in the social sciences. We offer pre-course English for Academic Purposes programmes; English language support during your studies; modern language courses in nine languages; proofreading, translation and document authentication; and language learning community activities.

LSE Careers  ­ – with the help of LSE Careers, you can make the most of the opportunities that London has to offer. Whatever your career plans, LSE Careers will work with you, connecting you to opportunities and experiences from internships and volunteering to networking events and employer and alumni insights. 

LSE Library   –   founded in 1896, the British Library of Political and Economic Science is the major international library of the social sciences. It stays open late, has lots of excellent resources and is a great place to study. As an LSE student, you’ll have access to a number of other academic libraries in Greater London and nationwide. 

LSE LIFE  – this is where you should go to develop skills you’ll use as a student and beyond. The centre runs talks and workshops on skills you’ll find useful in the classroom; offers one-to-one sessions with study advisers who can help you with reading, making notes, writing, research and exam revision; and provides drop-in sessions for academic and personal support. (See ‘Teaching and assessment’). 

LSE Students’ Union (LSESU)  – they offer academic, personal and financial advice and funding.  

PhD Academy   – this is available for PhD students, wherever they are, to take part in interdisciplinary events and other professional development activities and access all the services related to their registration. 

Sardinia House Dental Practice   – this   offers discounted private dental services to LSE students.  

St Philips Medical Centre  – based in Pethwick-Lawrence House, the Centre provides NHS Primary Care services to registered patients.

Student Services Centre  – our staff here can answer general queries and can point you in the direction of other LSE services.  

Student advisers   – we have a  Deputy Head of Student Services (Advice and Policy)  and an  Adviser to Women Students  who can help with academic and pastoral matters.

Student life

As a student at LSE you’ll be based at our central London campus. Find out what our campus and London have to offer you on academic, social and career perspective. 

Student societies and activities

Your time at LSE is not just about studying, there are plenty of ways to get involved in  extracurricular activities . From joining one of over 200 societies, or starting your own society, to volunteering for a local charity, or attending a public lecture by a world-leading figure, there is a lot to choose from. 

The campus 

LSE is based on one  campus  in the centre of London. Despite the busy feel of the surrounding area, many of the streets around campus are pedestrianised, meaning the campus feels like a real community. 

Life in London 

London is an exciting, vibrant and colourful city. It's also an academic city, with more than 400,000 university students. Whatever your interests or appetite you will find something to suit your palate and pocket in this truly international capital. Make the most of career opportunities and social activities, theatre, museums, music and more. 

Want to find out more? Read why we think  London is a fantastic student city , find out about  key sights, places and experiences for new Londoners . Don't fear, London doesn't have to be super expensive: hear about  London on a budget . 

Students who successfully complete the programme often embark on an academic career.

• The placements and careers of previous Department of Management PhD students

The Department aims to give all qualified doctoral students the opportunity to teach. Developing teaching skills and experience is an important component of the students' career development and prepare you for future academic roles. To make this experience as valuable as possible we draw on the support from the LSE's Teaching and Learning Centre.

Support for your career

Throughout the programme, you are expected to participate in Marketing Faculty Research Group research workshops, enabling you to grow familiar with the process of presenting and discussing academic papers with experienced faculty, and provide opportunities for networking. Funding is also available for you to attend and present papers at academic conferences.

LSE Careers has a team dedicated to PhD students offering a wide range of resources and advice. You will receive regular updates on career events and workshops offered by LSE Careers and the LSE’s PhD Academy. Research based employment opportunities are communicated to students in our newsletters and email updates.

Programme enquiries

Faculty members are unable to comment on your eligibility without viewing your full application file first. However, if you have any questions regarding the programme please contact the Department of Management PhD Office at  [email protected] . 

Admissions enquiries

With questions related to the admissions process, please contact the LSE Graduate Admissions team via their  getting in touch page .

Find out more about LSE

Discover more about being an LSE student - meet us in a city near you, visit our campus or experience LSE from home. 

Experience LSE from home

Webinars, videos, student blogs and student video diaries will help you gain an insight into what it's like to study at LSE for those that aren't able to make it to our campus.  Experience LSE from home . 

Come on a guided campus tour, attend an undergraduate open day, drop into our office or go on a self-guided tour.  Find out about opportunities to visit LSE . 

LSE visits you

Student Marketing, Recruitment and Study Abroad travels throughout the UK and around the world to meet with prospective students. We visit schools, attend education fairs and also hold Destination LSE events: pre-departure events for offer holders.  Find details on LSE's upcoming visits . 

Learn more about our research

Book a consultation

Download the programme brochure

Related Programmes

Mphil/phd in management - information systems and innovation.

Code(s) G5ZC

MRes/PhD in Management - Employment Relations and Human Resources

Code(s) N2Z1

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Marketing Requirements: Quantitative Track

I. preparation.

As preparation for the general program requirement, some marketing students, depending on their previous preparation, find it useful to complete the courses below or the equivalent in the summer prior to the first year or during the first year. Questions concerning what constitutes adequate preparation should be directed to the doctoral liaison.

Students specializing in quantitative marketing are expected to have adequate computer programming skills (C++, MATLAB, or the equivalent). If students do not have adequate computer programming skills, they may learn this material on their own or take the Stanford Computer Science course CS106A: Programming Methodology.

II. Course Requirements

All required courses must be taken for a grade (not pass/fail or credit/no credit). Exceptions are made if the required course is offered pass/fail or credit/no credit only. Each course must be passed with a grade of P or B- or better. Substitutions of required courses (typically sought because a required course is not offered in the quarter of choice) require approval from the faculty liaison. Waiving a course requirement based on similar doctoral level course completed elsewhere requires the approval of the course instructor, faculty liaison, and the PhD Program Office. 

A. Required Courses

B. recommended courses, c. optional elective courses, iii. practicum.

Students are required to sign up for either research or teaching practicum each quarter of enrollment. Below is a description of the practicum requirements for quantitative marketing students.

Year 1: Regularly attend and participate in the Marketing and Work-in-Progress (WIP) seminars. Work with a different marketing faculty in autumn, winter, and spring quarters for initial research exposure.

Years 2 – 5: Attend and participate in the Marketing and WIP seminars. Attendance is required for all Marketing Seminars designated as Combined or Quantitative, and recommended for the seminars designated as Behavioral. Continue research work with faculty of student’s choice. Students are also encouraged to take the visiting Quantitative/Combined seminar speaker to lunch after the Marketing seminar.

Years 3 - 5: Recommended that students enroll in MGTECON 628: Reading Group in Industrial Organization and attend and participate in the weekly “IO Lunch.”

IV. Summer Research Papers

Students will submit the first-year paper by the end of the autumn quarter in the second year. The first-year paper will be presented to the faculty early in the winter quarter of the second year. The primary goal of the first-year paper is to give students the experience of going through the entire process of a research piece, including data analysis. This is also the time to learn programming and to start thinking about working with data. The paper can be an extension of a published piece or a work-in-progress. Students are expected to work closely with faculty on the research. It is typical that the first-year summer paper is related to an extension of research conducted by one of the Stanford GSB marketing faculty, due to the ready availability of data. There is no expectation that the research is publishable. The key objective is learning the “art of research”.

The second paper is due by the end of the autumn quarter in the third year, and should be presented to the faculty early in the winter quarter in the third year. The second paper is expected to be of publishable quality in a good field journal, and driven primarily by the student. Co-authorship with faculty is encouraged (though not required); however, the student is expected to be the lead driver of the project.

The overall evaluation of each paper will be judged by two faculty members, one of whom could be the collaborating faculty member (if any), as High Pass, Pass, Marginal, or Fail. This evaluation will take into account the strengths and weaknesses of the research; the student’s effort and contribution; and whether the student evidences ability to produce high quality research. Passing both papers is required for maintaining good academic status and advancing to candidacy.

V. Field Exam

Students take the field exam in the summer after their first year. It is an open-book, open-notes exam. The student is to work on the exam independently over five days. The exam tests whether the student is able to apply the knowledge assimilated over the first year of coursework to a real Marketing problem.

VI. Teaching Requirement

A minimum of one quarter of course assistantship or teaching practicum. Requirement must be completed prior to graduation.

VII. Candidacy

Admission to candidacy for the doctoral degree is a judgment by the faculty of the student’s potential to successfully complete the requirements of the degree program. Students are required to advance to candidacy by September 1 before the start of their fourth year in the program.

VIII. University Oral Exams

The oral examination is a defense of the dissertation work in progress. The student orally presents and defends the thesis work in progress at a stage when it is one-half to two-thirds complete. The oral examination committee tests the student on the theory and methodology underlying the research, the areas of application and portions of the major field to which the research is relevant, and the significance of the dissertation research. Students are required to successfully complete the oral exams by September 1 before the start of their fifth year in the program.

IX. Dissertation

The doctoral dissertation is expected to be an original contribution to scholarship or scientific knowledge, to exemplify the highest standards of the discipline, and to be of lasting value to the intellectual community. The marketing faculty defer to the student’s Dissertation Reading Committee to provide general guidelines (e.g. number of chapters, length of dissertation) on the dissertation.

Typical Timeline

Years one & two.

• Field Requirements
• Directed Reading & Research
• Advancement to Candidacy
• Formulation of Research Topic
• Annual Evaluation
• Continued Research

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Ph.D. Program

Duke's Fuqua School of Business

Marketing is the process by which demands for products, services, and ideas are anticipated, managed, and satisfied. There are three major facets of marketing examined in our PhD program:

• Examination of factors affecting the structure and efficiency of markets and firm profitability within markets, often using economic theory
• Study of managerial and strategic issues in marketing, using diverse methods to examine marketing decisions and how such decisions can be improved
• Understanding the factors affecting buyer/consumer behavior, often using psychological approaches

Our objective is to provide PhD students with exceptional training that enables them to have successful research and teaching careers in any of these areas. This is accomplished by having students take courses selected to meet their individual needs and interests, work with faculty members on joint research beginning early in their program, and develop their own original research projects culminating in a dissertation. Students also assist faculty in teaching marketing courses to gain some teaching experience.

The Fuqua Marketing faculty are among the most published and cited marketing faculties in the world, and marketing faculty members have been editors of many of the field’s leading journals (e.g., Journal of Consumer Research , Journal of Marketing Research , Marketing Science ). The marketing faculty have received many honors and have held many leadership positions within the field.

Marketing is the process whereby demands for products, services and ideas are anticipated, managed and satisfied. This broad area of study has generated research at three levels. The first, or macro level, examines factors affecting the structure and efficiency of markets and the profitability of firms within markets. Often such explorations use economic theory. One example is the study of the effect of product differentiation on the optimal channel structure and profitability for the firms within an industry.

A second level of research is at the managerial level. The emphasis at this level is on improving the decision making abilities of managers. The methodology used is very diverse. It includes compiling descriptive information on how managers now go about making decisions, developing heuristics to augment current practices and building normative models of how managers should make decisions. Work at this level can be useful to both the public and business sectors. For example, one can develop new methods for testing advertising copy, examine the effects on purchase behavior of providing nutritional information in a grocery store or build an expert system which makes an individual manager’s expertise available throughout the firm.

The third, or micro, level is concerned with understanding the factors that influence buyer behavior. Often the theoretical base for these studies is psychological. Examples of studies at this level are determining the differential effect of a verbal or pictorial advertising message on the consumer’s brand preferences, testing the effects of Internet search agents on consumer choice, or examining emotionally difficult consumer choices.

The Ph.D. Program in Marketing at Duke University’s Fuqua School of Business is designed to provide students with the training necessary for a successful research and teaching career in any of the above areas. This training is done by having students take courses selected to meet their individual needs and interests, work with faculty members on joint research, conduct a series of original research projects which ultimately lead to a dissertation, and assist in the teaching of marketing courses.

There are a number of reasons that Fuqua attracts and places such exceptional PhD students. First, the faculty are impactful.  Second, they are committed to investing considerable effort in student development.  Third, they are collegial and supportive.  Fourth, their interests are broad, meaning that students will be able to find a match to their interests as they grow in the program.  Fifth, the faculty are well connected to help with student placements.  Sixth, there are numerous resources including a behavioral lab, data, and leading departments in economics, statistics and psychology at Duke.  Seventh, our historical placements have been outstanding.  See the link for some of our PhD student testimonals.

The Ph.D. in Business Administration is a degree of the Graduate School of Duke University. Information on how to apply and deadlines for application can be obtained directly from the Graduate School at  www.gradschool.duke.edu .

The Fuqua School of Business offers financial support to all those admitted to the Ph.D. program. The following support is offered in the first year:

(1) A full tuition grant, including registration fees and mandatory health insurance while in the program.

(2) A yearly stipend dispersed in 12 monthly installments for the five years of the program, contingent upon satisfactory academic progress.(As part of their doctoral training and educational experience, students would work as research and teaching assistants for an average of 10 hours per week in year one and 6 hours per week in years two through five.

(3) Additional research assistantship opportunities (roughly four hours per week) are also available beyond the first year.

The full tuition and registration fee grant is available for the student’s entire time in the program. Students continue to receive at least the monthly stipend for up to five years of the program, provided that the major field examination has been passed before the beginning of the fourth year. Obtaining research assistantship funds depend upon the student arranging to work with faculty members on research projects of mutual interest.

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Maketing PhD ranking by Group in North America

By hngu178 March 31, 2018 in PhD in Business

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[TABLE=width: 500]

[TD]A+[/TD]

[TD]A-[/TD]

[TD]B+[/TD]

[TD][TABLE=width: 285]

[TD]Columbia University[/TD]

[TD] Cornell University[/TD]

[TD] Duke University[/TD]

[TD] University of California at Berkeley[/TD]

[TD] University of Chicago[/TD]

[TD] University of Pennsylvania[/TD]

[TD]Carnegie Mellon University[/TD]

[TD]Harvard University[/TD]

[TD]Massachusetts Institute of Technology[/TD]

[TD]New York University[/TD]

[TD]Yale University[/TD]

[TD]Stanford University[/TD]

[TD]University of California at Los Angeles[/TD]

[TD]University of Southern California[/TD]

[TD]Washington University at St. Louis[/TD]

[TABLE=width: 342]

[TD][TABLE=width: 342]

[TD]Ohio State University[/TD]

[TD] Pennsylvania State University[/TD]

[TD] University of Pittsburgh[/TD]

[TD] University of Texas at Austin[/TD]

[TD]Emory University (Quant only)[/TD]

[TD]Indiana University at Bloomington[/TD]

[TD]Texas A&M University at College Station[/TD]

[TD]University of British Columbia[/TD]

[TD]University of Colorado at Boulder[/TD]

[TD]University of Florida[/TD]

[TD]University of Rochester (Quant only)[/TD]

[TD]University of Maryland at College Park[/TD]

[TD]University of Michigan at Ann Arbor[/TD]

[TD]University of Minnesota at Twin Cities[/TD]

[TD]University of North Carolina at Chapel Hill[/TD]

[TD]University of Toronto[/TD]

[TD]University of Wisconsin at Madison

University of Washington[/TD]

[TD][TABLE=width: 324]

[TD]Boston College[/TD]

[TD]Baruch College[/TD]

[TD] Florida State University[/TD]

[TD] Michigan State University(Quant only)[/TD]

[TD] Purdue University(Quant only)[/TD]

[TD] University of Alberta[/TD]

[TD] University of Arizona[/TD]

[TD] University of Connecticut[/TD]

[TD] University of Iowa[/TD]

[TD] University of Miami[/TD]

[TD]Arizona State University[/TD]

[TD] University of Missouri at Columbia[/TD]

[TD] University of Oregon[/TD]

[TD] University of South Carolina at Columbia[/TD]

[TD] Virginia Tech[/TD]

[TD]Georgia Institute of Technology[/TD]

[TD]Georgia State University(Quant only)[/TD]

[TD]University of California at Irvine[/TD]

[TD]University of California at San Diego[/TD]

[TD]University of Houston[/TD]

[TD]University of Illinois at Urbana-Champaign[/TD]

[TD]University of Texas at Dallas(Quant only)[/TD]

[TD]Western Ontario University[/TD]

[TD][TABLE=width: 306]

[TD] McGill University[/TD]

[TD] Temple University[/TD]

[TD] University of Arkansas[/TD]

[TD] University of Calgary[/TD]

[TD] University of California at Riverside[/TD]

[TD] University of Central Florida[/TD]

[TD] University of Cincinnati[/TD]

[TD] University of Georgia[/TD]

[TD] University of Kentucky[/TD]

[TD]University of Kansas[/TD]

[TD] University of Nebraska at Lincoln[/TD]

[TD] University of Utah[/TD]

[TD]Rutgers University[/TD]

[TD]Syracuse University[/TD]

[TD]University of Texas at San Antonio[/TD]

[TD] York University

SUNY at Buffalo

University of Tennnesse[/TD]

[TD][TABLE=width: 326]

[TD] Colorado State University[/TD]

[TD] Drexel University[/TD]

[TD] Florida International University[/TD]

[TD] Iowa State University[/TD]

[TD] Oklahoma State University[/TD]

[TD] Simon Fraser University[/TD]

[TD] University of Alabama at Tuscaloosa[/TD]

[TD] University of Illinois at Chicago[/TD]

[TD] University of Louisville[/TD]

[TD] University of Mississippi[/TD]

[TD] University of Oklahoma[/TD]

[TD] University of South Florida[/TD]

[TD] University of Texas at Arlington[/TD]

[TD] University of Wisconsin at Milwaukee[/TD]

[TD]Louisiana State University[/TD]

PhD in Marketing | Georgia Tech

Source: Georgia Tech University- Marketing Department

My purpose of ranking is not to compare which one is better than others. The ranking is good for later applicants who want to increase the chance of admission by sending applications from group A to B.

The competitiveness is equally measured by GMAT, GPA, undergrad university. 70%

The rigor of curriculum is measured by level of Quantitative(Econ, Math) and Psychology, Sociolog y. 30%

I tried to take into account the strength of 3 track in Marketing: Strategy, Modelling, and Consumer Behavior which varies by schools. Therefore, Between the neighbor group like A+, A or A- etc, there are overlapping elements like Toronto may be in A+ for Quant and Strategy, but can be A for consumer. The same for Duke, CMU, Michigan...

Some programs are very picky and admit only one student per year. Grouping is not 100% correctly, some overlapping schools between groups exists.

My Ranking criteria are based on the difficulty on admission ( competitiveness) and the rigor of curriculum . Quant only is the program that does not have Consumer Behavior track.

If the schools are in the same group, they are nearly equal in term of reputation, admission rate, rigor of curriculum, and placement. The schools in the A+ group are more likely to hire the students from other schools within group, sometimes hire from group A, hardly or never from group A- or B and so on.

Group A hires from A+, within A, sometime A- , hardly B+( depend on student ability and advisor reputation)

If the programs are within the same group, it very hard to say which one is better than other. The choices of school within group are often based on research interest, adviser reputation. Thus, the variance within group is small, but variance between groups is higher.

In group A+ and A:

Degree Requirement for Quant-Track: Series of graduate Micreconomics and Econometrics in ECON dept, Marketing Seminars, 3-6 courses in Statistics Dept. Therefore, the schools tend to admit the students who have strong quantitative background similar to students in ECON Dept in the same school. The qualifying exam is very rigorous.

Degree Requirement for CB-Track: Series of Psychology courses or Sociology, Marketing Seminars, 3-6 courses in Statistics Dept.

In group A- and below:

Degree Requirement is less rigorous: Marketing seminars, ECON and Statistics are elective.

Some exceptional programs such as Houston, Texas Dallas, Georgia State, Temple, South Carolina are on the up trend of research activities, they have many influential professors in Marketing field. Therefore, some years, we can see the placement on A school, but again it depends much on student performance in the program and adviser reputation.

If you have many offers, you can use following criteria to make a wise decision:

1.Look at the curriculum of each program.

2.Know the content of course work, and who will teach the class.

3.Who will be the mentor for your research, the most important thing.

4. Know the research activity of professors in the program.

5. Location

7. Marketing research Center and research facillity

8. Opinion from current students.

9. Placement records

10. Your plan after graduation: teaching or research schools, or balanced ones

11. Assistantship duties: too many teaching duties may affect academic performance

Please feel free to remind me programs that are not in the ranking, so that I can add up, OR you can consider the universities in the list Phd Programs in Marketing

To be continued...

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Important tips for those of you going into strategy.

I'm a recent graduate now, but wished I knew some of these things beforehand.

Choose a school based on your connection with the faculty--NOT rank. Note below may sound harsh, but I think this is the best way to let future students know what to look out for. PhD is not as glamerous as it sounds. Also, many of you may be going into it because of big ego purposes, and not because you love research. And you should go in knowing that you cannot know whether you love research until you have been through the entire publication process. It sounds fun as an idea, but when you get in the trenches, you will see what I mean. Also, some students get big because they are glorified RAs, and not because of their own work. So figure out which route you want to take.

Here is an example based on word of mouth of a bad school:

University of Georgia is a terrible school. I've met some students there, and there is a lot of faculty conflict/personality issues at UGA. Take a look at their placement record, and you will see that they place well below their peer ranked schools. Their methods training is also pretty weak.

Sundar Bharadwaj is known to be an ineffective teacher/adviser; he will only see you as a data collection pig, and not help you with any intellectually related work. I've heard from two occasions that he stole a coauthor's data, and worked on another project without letting the original coauthor know about this data sharing. Unethical person.

Son Lam is a socially awkward person to meet at conferences, and has screwed over many previous coauthors. For example, he consistently has a habit of kicking people off of papers, and then suddenly changing his mind about doing that.

John Hulland is someone who will be nice to you up front but not behind the scenes.

Really ask yourself if you want to live out 5 years of your PhD in a hostile environment.

Here is an example of a good school, base on word of mouth:

Missouri is a good school in terms of training and being taken care of by the faculty. Those people have good intentions, based on my interactions with them at conferences. Their students sometimes place well above their rank.

I've heard nice things about Lisa Scheer as a person, and that she steers you in the right direction with honest feedback.

another user

How do you measure difficulty on admission and rigor of curriculum? Not even admission rate is a good measure for this, you would need data on students choice and their possible choices (what school they chose when they could have chosen others) to make a revealed preference approach. Or at least have the enrollment rate of those admitted. Do you have this data or this is just your feeling?

Maybe I have a biased sample here but I can tell you that I know lots of people who chose some schools from group A and A- over some of the group A+. To be more specific, I find hard to believe that UCLA, USC and WUSTL are in group A+ while Michigan, Maryland, UCSD and Toronto are not. Also, following the criteria presented, it's very weird to think that UCSD and Dallas are in the same group as Western Ontario and Florida State for example, and in the group below that of Boulder and Florida.

From what I've seen for the two first groups it should be (in no specific order):

A+: Harvard, Stanford, MIT, Chicago, Yale, Columbia, NYU, Northwestern, Penn, Berkeley

A: UCLA, USC, UCSD, Duke, Michigan, Cornell, CMU, WUSTL, Maryland... maybe UW, Rochester, Minnesota, Toronto (I think these are slightly below).

A- should include Dallas, Emory, UBC, UNC, Wisconsin, Ohio State, Penn State, Austin ... maybe Indiana, Houston, TAMU.

But I don't have access to any kind of data on admissions, so my ranking would be based on my perceptions about students' choices and on placements after graduation for quant.

As for rigor of curriculum, this may vary a lot especially if the classes are taken with the economics students, because some of these universities have very different rankings in economics. For example, USC, UW, CMU, WUSTL have considerably worse economics programs compared to their quant program, Michigan, Duke, Cornell, UCLA have similar ranked programs (top 15), and Wisconsin and Minnesota are better ranked in economics.

Also some schools have very flexible structure and students don't all take the same courses (Cornell and USC are examples).

Nice exercise anyway, better than just take a look at UTD.

BrazilianPhD

Trying to create a ranking is always a big problem. But, more important than the ranking, hngu178 provided the reasoning behind the ranking. Each one may come up with a different ranking, because it is really a personal thing. But the things to think about are more or less the same. So, very good.

Just to add my two cents.

I did some sort of ranking for myself when I was applying. But if I tried to do a ranking again now, after a few months of experience doing a PhD, it would be very, very different. And, curiously, it would be much harder now (yeah, having more information and experience can make things even more confusing). I know my experience is still limited, my sample is small, there is a lot of survival bias etc. But the more I learn, the more rankings seem less and less relevant, at least for me.

I've met professors and PhD students from other schools, at different levels of ranking. I've seen them presenting their research, talking about their careers, etc.

I've been greatly impressed by some research from lower level schools, and really disappointed by some presentations from people from A+ schools. A very eye-opening moment to me was to see a presentation from a guy from a really top school get completely crushed when someone in the audience pointed a major flaw in his reasoning that made everything he was showing useless. Beautiful math, wrong reasoning, useless work.

I've talked with professors from A+ schools talking about their experiences, and thinking that's not what I'd like to do with my life. I've talked with professors who left A+ schools (really dream school level) and are now at a lower ranked school, doing much better.

By now, it seems to me that the ranking of a school is weakly correlated with the quality of the work produced by their PhD students for at least the top 50 schools. There doesn’t seem to be a really significant difference between A+, A, and A-, and even if there is a difference in general, there are many exceptions to the rule. It is no wonder that hngu178 said that A schools hire from A+, A, A-, and even A+ schools can hire from A-.

And, by now, it seems to me that the ranking of a school is also weakly correlated with the quality of the job they offer to their professors. Several professors from several schools mentioned something like that in one way or another.

So, if the goal is to get a good job, getting too fixed on ranking can be a very bad strategy. It can make you go to a bad job at an A+ school, instead of getting a great job at an A- school, for example. Particularly if a positive working environment is more important than status for you. I've seen some bad things said about a few A+ schools, by people who are there and people who decided to leave them. And some great things about schools that were completely off my radar.

I believe the quality of the work is very highly correlated with the placement. Consider the ranking I proposed in my previous post and check out their placements, you'll see that it does make sense (at least for quants). So school ranking should also be correlated with research quality, although it is not a perfect correlation.

But if we consider a student's ability as given, I don't think it makes that difference being in A+, A or A- (my ranking). That's why I agree with this:

So, if the goal is to get a good job, getting too fixed on ranking can be a very bad strategy.

It's definitely important to consider other aspects besides ranking, such as location, funding, program structure, research interests in common with faculty, and so on.

Agree, like a moderation or mediation effect from research quality to placements.

So school ranking should also be correlated with research quality, although it is not a perfect correlation.

Yeah, that sounds a lot like what I heard recently from a professor from another university who is now responsible for evaluating profiles of people who are applying to tenure-track positions.

"School" is like a moderator. But not exactly "school ranking", by what he told us. A lot of professors I talked with are extremely skeptical about a ranking for PhD programs. It's more about "school reputation", which is different from ranking. Reputation includes schools' strengths and weaknesses, cultural values, teaching philosophies, lines of research they are specialized, faculty they know, etc. That reputation can help them to identify the applicants with better odds of fitting with what they are looking for.

Let's say they are looking for someone for empirical research, to try to strengthen ties between the school and firms. For that particular purpose, probably there are some A schools that are actually better than some A+ school. Or they are looking for someone who can teach MBA courses, since many top schools also have a need for teaching. Again, some A schools may be known to provide better training for teaching than some A+ schools that are only focused on research. So, school is a moderator, but not necessarily ranking.

Let me use my own school as example. University of Houston/Bauer is rising, but is not yet a really top school. However, if some top school is looking for people who do research about sales management, lots of them know that we have some of the very best researchers for that kind of thing here. Even if the school is not a top school by itself, Dr. Michael Ahearne is a powerhouse name for that particular line of research.

The professor who is hiring for his school told us another example related to "ranking". He very clearly told us that they look for people who may be hidden gems from schools with fewer resources (so, probably lower ranked schools). People who could do much better if they had access to better resources, resources that his school can provide.

So, of course school ranking is a variable to take into consideration. But its importance compared to other aspects of those schools and also of the students is really something to think about. Rankings sometimes seem like an obsession here at Urch, but I don't see that when I talk with professors from several universities. And, as you can guess, tips about getting a tenure-track position is one of the things we always ask when we meet them.

StrategicMGMT

XanthusARES

While I certainly agree strongly that ranking is extremely over inflated on here, and that it matters significantly less to hiring committees, there is an implicit ranking system that schools use. For example whether they admit it or not, coming from a Wharton or a Stanford will open more doors, given the exact same profile, than coming from UIUC. That being said if you're first author on an A pub and have a strong pipeline, that will open a lot of doors no matter where you're from.

Basically what I'm getting at is that profs often pay lip service to what really matters being research, and I truly believe that they believe this cognitively. But there are often subconscious (and sometimes explicit) rankings that affect their decision to interview someone for a job. We could spend days going over whether a degree from a top school correlates with stronger research and if so, does that imply an inherent value to rankings. But I don't really want to do that. I do, though, want to state that whether that is true or not, and whether faculty say that or not, there is an understood hierarchy in the hiring process. It's not nearly as nuanced as those trying to decide where to apply want it to be. And nothing is ever straightforward in the hiring process. For instance maybe a school is looking for a particular type of research, or more likely specifically not looking for a certain type of research. But the hierarchy does exist.

How do you measure difficulty on admission and rigor of curriculum? Not even admission rate is a good measure for this, you would need data on students choice and their possible choices (what school they chose when they could have chosen others) to make a revealed preference approach. Or at least have the enrollment rate of those admitted. Do you have this data or this is just your feeling?   Maybe I have a biased sample here but I can tell you that I know lots of people who chose some schools from group A and A- over some of the group A+. To be more specific, I find hard to believe that UCLA, USC and WUSTL are in group A+ while Michigan, Maryland, UCSD and Toronto are not. Also, following the criteria presented, it's very weird to think that UCSD and Dallas are in the same group as Western Ontario and Florida State for example, and in the group below that of Boulder and Florida.   From what I've seen for the two first groups it should be (in no specific order): A+: Harvard, Stanford, MIT, Chicago, Yale, Columbia, NYU, Northwestern, Penn, Berkeley A: UCLA, USC, UCSD, Duke, Michigan, Cornell, CMU, WUSTL, Maryland... maybe UW, Rochester, Minnesota, Toronto (I think these are slightly below). A- should include Dallas, Emory, UBC, UNC, Wisconsin, Ohio State, Penn State, Austin ... maybe Indiana, Houston, TAMU.   But I don't have access to any kind of data on admissions, so my ranking would be based on my perceptions about students' choices and on placements after graduation for quant.   As for rigor of curriculum, this may vary a lot especially if the classes are taken with the economics students, because some of these universities have very different rankings in economics. For example, USC, UW, CMU, WUSTL have considerably worse economics programs compared to their quant program, Michigan, Duke, Cornell, UCLA have similar ranked programs (top 15), and Wisconsin and Minnesota are better ranked in economics. Also some schools have very flexible structure and students don't all take the same courses (Cornell and USC are examples).   Nice exercise anyway, better than just take a look at UTD.

Your statement could be true for Quant, but not true for CB. Columbia has professors from Baruch and UCLA: Keith Todd Wilcox | Columbia Business School Directory My ranking is for 3 tracks not only for Quant.

USC has placement at MIT, Chicago, Michigan even in finance, more heavily quantitative: PhD Program | USC Marshall

even for Quant Marketing, Harvard has Prof from Pittsburgh Rohit Deshpande

- Faculty & Research - Harvard Business School.

Stanford has 2 Prof from Duke, 2 from Ohio state in CB track.

Ranking in Economics does not matter that much in Business School.

While I certainly agree strongly that ranking is extremely over inflated on here, and that it matters significantly less to hiring committees, there is an implicit ranking system that schools use. For example whether they admit it or not, coming from a Wharton or a Stanford will open more doors, given the exact same profile, than coming from UIUC. That being said if you're first author on an A pub and have a strong pipeline, that will open a lot of doors no matter where you're from.   Basically what I'm getting at is that profs often pay lip service to what really matters being research, and I truly believe that they believe this cognitively. But there are often subconscious (and sometimes explicit) rankings that affect their decision to interview someone for a job. We could spend days going over whether a degree from a top school correlates with stronger research and if so, does that imply an inherent value to rankings. But I don't really want to do that. I do, though, want to state that whether that is true or not, and whether faculty say that or not, there is an understood hierarchy in the hiring process. It's not nearly as nuanced as those trying to decide where to apply want it to be. And nothing is ever straightforward in the hiring process. For instance maybe a school is looking for a particular type of research, or more likely specifically not looking for a certain type of research. But the hierarchy does exist.

I agree with you

Trying to create a ranking is always a big problem. But, more important than the ranking, hngu178 provided the reasoning behind the ranking. Each one may come up with a different ranking, because it is really a personal thing. But the things to think about are more or less the same. So, very good.     Just to add my two cents.     I did some sort of ranking for myself when I was applying. But if I tried to do a ranking again now, after a few months of experience doing a PhD, it would be very, very different. And, curiously, it would be much harder now (yeah, having more information and experience can make things even more confusing). I know my experience is still limited, my sample is small, there is a lot of survival bias etc. But the more I learn, the more rankings seem less and less relevant, at least for me.     I've met professors and PhD students from other schools, at different levels of ranking. I've seen them presenting their research, talking about their careers, etc.     I've been greatly impressed by some research from lower level schools, and really disappointed by some presentations from people from A+ schools. A very eye-opening moment to me was to see a presentation from a guy from a really top school get completely crushed when someone in the audience pointed a major flaw in his reasoning that made everything he was showing useless. Beautiful math, wrong reasoning, useless work.     I've talked with professors from A+ schools talking about their experiences, and thinking that's not what I'd like to do with my life. I've talked with professors who left A+ schools (really dream school level) and are now at a lower ranked school, doing much better.     By now, it seems to me that the ranking of a school is weakly correlated with the quality of the work produced by their PhD students for at least the top 50 schools. There doesn’t seem to be a really significant difference between A+, A, and A-, and even if there is a difference in general, there are many exceptions to the rule. It is no wonder that hngu178 said that A schools hire from A+, A, A-, and even A+ schools can hire from A-.     And, by now, it seems to me that the ranking of a school is also weakly correlated with the quality of the job they offer to their professors. Several professors from several schools mentioned something like that in one way or another.     So, if the goal is to get a good job, getting too fixed on ranking can be a very bad strategy. It can make you go to a bad job at an A+ school, instead of getting a great job at an A- school, for example. Particularly if a positive working environment is more important than status for you. I've seen some bad things said about a few A+ schools, by people who are there and people who decided to leave them. And some great things about schools that were completely off my radar.

thank you for understanding my ideas. Merrit based hiring system still works here to improve productivity. But we accept that Biased process exists!

Your statement could be true for Quant, but not true for CB. Columbia has professors from Baruch and UCLA: Keith Todd Wilcox | Columbia Business School Directory My ranking is for 3 tracks not only for Quant. USC has placement at MIT, Chicago, Michigan even in finance, more heavily quantitative:PhD Program | USC Marshall even for Quant Marketing, Harvard has Prof from Pittsburgh Rohit Deshpande - Faculty & Research - Harvard Business School. Stanford has 2 Prof from Duke, 2 from Ohio state in CB track.

Ok then check out the last 5 years of placements (Marketing +Strategy) for Toronto and Michigan, which you put in group "A":

Toronto: City University HK, New South Wales, Northwestern (2x), Dalhousie U., INCAE Bus. Sch., Southern California, UCSD, LBS, U. Groningen, U. Technology Sydney, Western Ontario, MIT, Duke, Queen's, Rochester, Ryerson, Paris Inst. of Tech, Penn State.

Michigan: Duke, LBS, U. Tech Sydney, Arizona State, SKEMA Business Sch., National U. Singapore, U. Florida, Southern California, UC-Davis, Wisconsin, California State (Long Beach), U. Kansas, Oregon State, Georgia Tech, Iowa State, Facebook

Rochester: Brandeis U., U. of Buffalo, Purdue U., Adobe, Wash U., Nielsen Marketing

Now look at the following:

Florida: Oxford, Denver, City U. of HK, Renmin U. of China, Xiamen U., U. of Cincinnati (2x), Walsh College, U. of Mississippi

Pittsburgh: their website is a mess, it's not in chronological order and some of the students listed under the "marketing" have something else on their CV, like the first person listed. His CV says he has a PhD in Information Systems and Technology Management despite his placement being listed under "Marketing" on Pittsburgh website.

Just check out their placements ( PhD Student Job Placements | University of Pittsburgh Katz Graduate School of Business ) and you'll see it's nowhere close that of Toronto, Michigan or Rochester, even though your ranking puts all of them in the same group.

Also, check out the placement for the following schools, which according to your ranking should be a tier above:

Wash U: Pacific U., Ohio State, UBC, Rutgers, UT-Austin, UC-Riverside, Amazon, Peking U., Georgia State, U. Singapore, Illinois Urbana Champaign, U. of Alberta, Fudan U., Shangai U., Catolica Lisbon, UBC

UCLA: Chapman, Columbia (2x), Catolica de Chile, Wharton, SMU Cox, Post Doc at CMU, No placement (2x), Michigan, Rutgers, Wisconsin, U. of Hong Kong, South Carolina, Boston U., Azusa Pacific U.

How is this a better placement record than those of Toronto, Michigan, and Rochester? I don't see it. Furthermore, your ranking has way too many schools in each group, and ranking Quants + CB + Strategy all together is also weird since those are very different things (especially quant and CB).

I think you just browsed Wharton, Stanford, Chicago, Harvard and whatever other schools you think are great to see where the professors got their PhD from, but you're not considering that those guys may be outliers. IMHO we should pay attention to the median placements, not the outliers.

That's not the point. You said that your ranking is based on two things: first the competitiveness in admissions and second the rigor of the curriculum. Most quants take the microeconomics and econometrics sequences at economics department, therefore you should also look at the economics ranking as a way to measure coursework rigor (better-ranked schools attract better students and can afford to design more difficult/complete courses). Personally, I don't think you can measure how difficult courses are, and that's why I don't see how you can make a ranking based on something you can't measure.

Ok then check out the last 5 years of placements (Marketing +Strategy) for Toronto, Michigan and Rochester which you put in group "A":

Now look at the following, which are also group "A":

Just check out their placements ( PhD Student Job Placements | University of Pittsburgh Katz Graduate School of Business ) and you'll see it's nowhere close to that of Toronto, Michigan or Rochester, even though your ranking puts all of them in the same group.

That's not the point. You said that your ranking is based on two things: first the competitiveness in admissions and second the rigor of the curriculum. Most quants take the microeconomics and econometrics sequences at economics department, therefore you should also look at the economics ranking as a way to measure coursework rigor (better-ranked schools attract better students and can afford to design more difficult/complete courses). Personally, I don't think you can measure how difficult courses are, and that's why I don't see how you can make a ranking based on something you can't measure. What I suggested is just a (lousy) way to proxy for coursework rigor.

Toronto : City University HK, New South Wales, Northwestern (2x), Dalhousie U., INCAE Bus. Sch., Southern California, UCSD, LBS, U. Groningen, U. Technology Sydney, Western Ontario, MIT, Duke, Queen's, Rochester, Ryerson, Paris Inst. of Tech, Penn State.

Michigan : Duke, LBS, U. Tech Sydney, Arizona State, SKEMA Business Sch., National U. Singapore, U. Florida, Southern California, UC-Davis, Wisconsin, California State (Long Beach), U. Kansas, Oregon State, Georgia Tech, Iowa State, Facebook

Rochester : Brandeis U., U. of Buffalo, Purdue U., Adobe, Wash U., Nielsen Marketing

Florida : Oxford, Denver, City U. of HK, Renmin U. of China, Xiamen U., U. of Cincinnati (2x), Walsh College, U. of Mississippi

Pittsburgh : their website is a mess, it's not in chronological order and some of the students listed under the "marketing" have something else on their CV, like the first person listed. His CV says he has a PhD in Information Systems and Technology Management despite his placement being listed under "Marketing" on Pittsburgh website.

Those are not on par with the first 3. Also, check out the placement for the following schools, which according to your ranking should be a tier above, "A+":

Wash U : Pacific U., Ohio State, UBC, Rutgers, UT-Austin, UC-Riverside, Amazon, Peking U., Georgia State, U. Singapore, Illinois Urbana Champaign, U. of Alberta, Fudan U., Shangai U., Catolica Lisbon, UBC

UCLA : Chapman, Columbia (2x), Catolica de Chile, Wharton, SMU Cox, Post Doc at CMU, No placement (2x), Michigan, Rutgers, Wisconsin, U. of Hong Kong, South Carolina, Boston U., Azusa Pacific U.

By the way, I used Toronto, Michigan and Rochester as examples but I'm pretty sure others such as Minnesota, Maryland and UT-Austin are also a tier above Florida and Pittsburgh. Also, at least for quants, I can tell you I'm pretty confident that it's way more difficult to be accepted at Toronto, Michigan, Rochester, Maryland than Pittsburgh,Boulder, UNC, Florida, TAMU, Indiana, Penn State...

Ok then check out the last 5 years of placements (Marketing +Strategy) for Toronto, Michigan and Rochester which you put in group "A":   Toronto : City University HK, New South Wales, Northwestern (2x), Dalhousie U., INCAE Bus. Sch., Southern California, UCSD, LBS, U. Groningen, U. Technology Sydney, Western Ontario, MIT, Duke, Queen's, Rochester, Ryerson, Paris Inst. of Tech, Penn State.   Michigan : Duke, LBS, U. Tech Sydney, Arizona State, SKEMA Business Sch., National U. Singapore, U. Florida, Southern California, UC-Davis, Wisconsin, California State (Long Beach), U. Kansas, Oregon State, Georgia Tech, Iowa State, Facebook   Rochester : Brandeis U., U. of Buffalo, Purdue U., Adobe, Wash U., Nielsen Marketing   Now look at the following, which are also group "A":   Florida : Oxford, Denver, City U. of HK, Renmin U. of China, Xiamen U., U. of Cincinnati (2x), Walsh College, U. of Mississippi   Pittsburgh : their website is a mess, it's not in chronological order and some of the students listed under the "marketing" have something else on their CV, like the first person listed. His CV says he has a PhD in Information Systems and Technology Management despite his placement being listed under "Marketing" on Pittsburgh website. Just check out their placements ( PhD Student Job Placements | University of Pittsburgh Katz Graduate School of Business ) and you'll see it's nowhere close to that of Toronto, Michigan or Rochester, even though your ranking puts all of them in the same group.   Those are not on par with the first 3. Also, check out the placement for the following schools, which according to your ranking should be a tier above, "A+":   Wash U : Pacific U., Ohio State, UBC, Rutgers, UT-Austin, UC-Riverside, Amazon, Peking U., Georgia State, U. Singapore, Illinois Urbana Champaign, U. of Alberta, Fudan U., Shangai U., Catolica Lisbon, UBC   UCLA : Chapman, Columbia (2x), Catolica de Chile, Wharton, SMU Cox, Post Doc at CMU, No placement (2x), Michigan, Rutgers, Wisconsin, U. of Hong Kong, South Carolina, Boston U., Azusa Pacific U.   How is this a better placement record than those of Toronto, Michigan, and Rochester? I don't see it. Furthermore, your ranking has way too many schools in each group, and ranking Quants + CB + Strategy all together is also weird since those are very different things (especially quant and CB). I think you just browsed Wharton, Stanford, Chicago, Harvard and whatever other schools you think are great to see where the professors got their PhD from, but you're not considering that those guys may be outliers. IMHO we should pay attention to the median placements, not the outliers.       That's not the point. You said that your ranking is based on two things: first the competitiveness in admissions and second the rigor of the curriculum. Most quants take the microeconomics and econometrics sequences at economics department, therefore you should also look at the economics ranking as a way to measure coursework rigor (better-ranked schools attract better students and can afford to design more difficult/complete courses). Personally, I don't think you can measure how difficult courses are, and that's why I don't see how you can make a ranking based on something you can't measure. What I suggested is just a (lousy) way to proxy for coursework rigor.   By the way, I used Toronto, Michigan and Rochester as examples but I'm pretty sure others such as Minnesota, Maryland and UT-Austin are also a tier above Florida and Pittsburgh. Also, at least for quants, I can tell you I'm pretty confident that it's way more difficult to be accepted at Toronto, Michigan, Rochester, Maryland than Pittsburgh,Boulder, UNC, Florida, TAMU, Indiana, Penn State...

Look here please : PhD in Marketing | Georgia Tech

https://www.ama.org/academics/Documents/2017-Who-Went-Where.pdf

You may not understand my points because you look at placement for Strategy( Strategic Management not MTK Strategy) According to AMA, Marketing is an integrated and broad field that includes:

1)Quantitative modeling: Analytical(Statistical Modeling from real world data to make inference) and Empirical(Mathematics and Econometrics Modeling) 20%

2)Marketing strategy: focus on the application of marketing theories and its effect on firms and consumers. 30%

3) Consumer Behavior: Pyschology and Sociology, neuroscience, behavioral science 45%

4) Other tracks: Logistics, advertising, ethics, innovation, sales, sales management, and marketing & entrepreneurship 5%

What you try to explain is just 20% of the persons in Marketing which follow Microeconomics and Econometric Modeling.

Fun fact: My wife is Economist (BA, and PhD), I am also PhD student in Economics. A half of my friends is Economists. We agree that although Microeconomics training is good for PhD in Marketing, but not sufficient or totally required in all tracks. We need more than Economics to be productive researcher. Many Economists do not know or do not care about Marketing sub-fields such as CB, sales, innovation.

Therefore, I do not want to include ECON ranking to the my ranking, it will add more bias. For us, top 30 microeconomics and econometric courseworks are good enough for Marketing because they are nearly the same format and content. The important thing is how well students perform in the class and how well they use the knowledge for their research. I know many people who have GPA 4.0 in ECON but still get stuck on research. My professors now nearly did not have ECON training, but he is now one of top 10 quantitative researchers in MKT in term of productivity and contribution to the field ( Ranked by AMA) and editor also.

More importantly, the placement for PhD program you see is just initial placement, not tenure placement . The ranking for MKT placement is already on urch, I do not repeat the same thing. 4 year ago, I did the same things you did, looking for the initial placement posted by all top 100 in MKT. Later, I see that this way may not work well. Initial placement is good, but many people are unable to hold their position or promote to tenure-track or Associate Prof, and have to go to lower rank schools because they do not have good pubs on Top A journal.

Some professors, I sent you a link are just some examples for many of persons who work hard, have creative mind in research, so they can hold tenure- position, the best reward. Chief Editor is the more than the best

In MKT, we should know the persons following:

Chief editor Journal of Marketing Research: PhD from Cincinnati, initial placement Washsington State, later Pen State, now at North Carolina.

Chief editor Journal of Marketing: PhD Texas Austin, next person will be Duke female Prof. 4 years ago is the prof from Emory who has PhD from Pittsburgh

Chief editor of Marketing Science: Yale prof, but PhD from Cornell

Chief editor of Consumer Research: PhD Texas Austin.

If you look at the ranking of AMA: researcher by productivity. Nearly 60% comes from lower rank A, A-, or B+ school.

Looking at school ranking without thoroughly studying the faculty research profile is useless work.

I appreciate young assistant prof by initial placement, but I much more appreciate and respect the persons who contribute very much on MKT field. They are not outliers, they are hard working and have creative mind.

Many people used term "Outlier" to describe The trend that they cannot explain why.

In statistics, if too many Outliers exist, we need to reconsider our assumption, conceptual framework and model. The Outliers can be very influential points for a hidden trend that you have not figured out at first!!!

Initial Placement may last for a few years, but the Top A publications and tenure professors will last forever!

@ whatever123

very fun to know, but words of mouth are hard to confirm, maybe exaggerated

What you try to explain is just 20% of the persons in Marketing which follow Microeconomics and Econometric Modeling. Fun fact: My wife is Economist (BA, and PhD), I am also PhD student in Economics. A half of my friends is Economists. We agree that although Microeconomics training is good for PhD in Marketing, but not sufficient or totally required in all tracks. We need more than Economics to be productive researcher. Many Economists do not know or do not care about Marketing sub-fields such as CB, sales, innovation. Therefore, I do not want to include ECON ranking to the my ranking, it will add more bias. For us, top 30 microeconomics and econometric coursework is good enough for Marketing because they are nearly the same format and content. The important thing is how well students perform in the class and how well they use the knowledge for their research. I know many people who have GPA 4.0 in ECON but still get stuck on research. My professors now nearly did not have ECON training, but he is now one of top 10 quantitative researchers in MKT in term of productivity and contribution to the field ( Ranked by AMA) and editor also.

I'm not saying that economics training is the most important thing in marketing; I'm just pointing out the fact that measuring rigor of curriculum is nearly impossible and depends on other things such as the quality of the Economics/Psychology/CS/Stats departments. I just used Economics as an example, the point is that marketing is a multidisciplinary field and the courses are often taken in other departments so if you want to measure how difficult and complete the courses are, you should take that into account.

More importantly, the placement for PhD program you see is just initial placement, not tenure placement.

The school can't be responsible for what happens to former students during their whole lifetime, it doesn't make sense to talk of a "tenure placement" or tracking the publication record over their entire career. The value added by the PhD ends with the program and culminates in the initial placement.

To look at tenured people of today and where they got their PhD is at best a lagging indicator of program quality.

Same goes for Chief editors and where they got their PhD. Those guys graduated 20 years ago and rankings change (if you're from economics you probably know how Rochester, for example, went from top 10 to top 30 in 20 years). Also, like I previously said, they can be outliers and this is 1 observation per journal, hardly informative. You should at least look at the whole editorial board to get more observations.

Moreover, some programs simply graduate more people and increase the chance of having a former student in the editorial board. The same goes for current professors and department size: Rochester, for example, has only 6 professors while other larger departments such as USC have over 20.

Many people used term "Outlier" to describe The trend the they cannot explain why. In statistics, if too many Outliers exist, we need to reconsider our assumption, conceptual framework and model. The Outliers can be very influential points for a hidden trend that you have not figure out at first!!!

Becoming Chief Editor of a top journal means to be an outlier even if they came from, say, Stanford. It's not a normal thing to become Chief Editor, this is definitely not the trend. I don't think anyone should go to a PhD program thinking they will have the best initial placement (or in the case of Chief Editor, the best career outcome). So looking at the initial median placement still makes more sense to me.

I understand that people may rank schools according to different criteria, but I really don't think you're measuring the things you said your ranking would (competitiveness to be admitted and rigor of curriculum).

I'm not saying that economics training is the most important thing in marketing; I'm just pointing out the fact that measuring rigor of curriculum is nearly impossible and depends on other things such as the quality of the Economics/Psychology/CS/Stats departments. I just used Economics as an example, the point is that marketing is a multidisciplinary field and the courses are often taken in other departments so if you want to measure how difficult and complete the courses are, you should take that into account.       The school can't be responsible for what happens to former students during their whole lifetime, it doesn't make sense to talk of a "tenure placement" or tracking the publication record over their entire career. The value added by the PhD ends with the program and culminates in the initial placement. To look at tenured people of today and where they got their PhD is at best a lagging indicator of program quality.   Same goes for Chief editors and where they got their PhD. Those guys graduated 20 years ago and rankings change (if you're from economics you probably know how Rochester, for example, went from top 10 to top 30 in 20 years). Also, like I previously said, they can be outliers and this is 1 observation per journal, hardly informative. You should at least look at the whole editorial board to get more observations. Moreover, some programs simply graduate more people and increase the chance of having a former student in the editorial board. The same goes for current professors and department size: Rochester, for example, has only 6 professors while other larger departments such as USC have over 20.       Becoming Chief Editor of a top journal means to be an outlier even if they came from, say, Stanford. It's not a normal thing to become Chief Editor, this is definitely not the trend. I don't think anyone should go to a PhD program thinking they will have the best initial placement (or in the case of Chief Editor, the best career outcome). So looking at the initial median placement still makes more sense to me.   I understand that people may rank schools according to different criteria, but I really don't think you're measuring the things you said your ranking would (competitiveness to be admitted and rigor of curriculum).

I remember nearly all broad name of members of top 4 journal and where they had PhD. Data I collect from websites and admission Committees. Ranking does not matter that much, your right: School Name cannot help people entirely their life, then personal ability is the most important factor. 60 percent cannot be Outliers in AMA ranking. You may not be updated with AMA. I attended AMA in New Orleans this Feb, met people and Chief there. The trend of city Business school in Big cities going up is here. Discussed with Profs. You are trying to refute the statistical evidence by your own perception. I know Rochester , 6 young Prof very few pubs, so fewer advantages for student to come there than USC in LA. More opportunities more competitive obviously fact . Rigor of curriculum is only 30%. Then It Counts little . Measurement Is simple if PhD Courses in hard sciences: categorical variables Low Medium High. It is not perfect but ok for me.

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