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Gre prep online guides and tips, graduate school acceptance rates: can you get in.

Even the most qualified and confident applicants worry about getting into grad school. But don’t panic! Graduate school acceptance rates, which give the percentage of applicants that were admitted to a particular school or program in an academic year, can help you determine how likely you are to get into a given program.  But where can you find grad school admissions statistics?

In this article, we’ll first investigate the trends and factors associated with graduate school acceptance rates. Then, we’ll take a look at some of the current acceptance rates and give you expert tips on how to find acceptance rates for your programs. Finally, we’ll show you how to determine your odds of getting into grad school.

Graduate School Acceptance Rates: Factors and Trends

Grad school acceptance rates are the same as any other acceptance rate: the lower the acceptance rate, the more selective the school or program is. Similarly, the higher the acceptance rate, the less selective the school or program is. As with undergrad acceptance rates, grad school acceptance rates vary widely, from extraordinarily selective (less than 5 percent) to incredibly lenient (nearly 100 percent).

Unlike undergrad rates, though, grad school acceptance rates are usually calculated for specific programs or departments and  not for entire universities. This is because with grad school, you are essentially applying to an individual program rather than an overall institution (as you did for undergrad).

Now that we’ve covered all of the basics, let’s look at a few key trends. Our research indicates there are three major factors that help determine grad school acceptance rates:

• School or program prestige
• Degree type
• Amount of funding

Let’s look at how each of these factors influences grad school acceptance rates.

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#1: School or Program Prestige

How prestigious a particular grad school or program is can affect its overall competitiveness and selectivity. In general, the more prestigious a program is, the more competitive it’ll be and thus the lower acceptance rate it’ll have.

An easy way to determine school or program prestige is to consult official rankings, such as those listed on  U.S. News . (Grad schools are typically ranked by field or program and   not by overall institution.)

For example, a 2017  U.S. News  list of the best political science grad programs  ranked Duke’s political science program at #7 and Northwestern’s at #23. Because both of the programs have fairly high rankings, it’s safe to assume they’re probably quite selective.

And this is true: in 2016,  Duke  reported a mere 10 percent acceptance rate to its political science doctoral program, while  Northwestern  reported a 12 percent acceptance rate.

#2: Degree Type

Another major factor is degree type. Generally,  doctoral programs tend to be more selective than master’s programs (though this isn’t always the case as I’ll explain in a moment). This trend is likely due to the fact that doctoral programs often look for higher-quality applicants with proven academic track records and more relevant experience in their fields.

For example, in 2016  University of Michigan’s math doctoral program  had a 17.2 percent acceptance rate, whereas its master’s program  had a much higher 31.8 percent rate. In this case, the doctoral program is clearly tougher to get into than the master’s program.

Still,   master’s programs can have lower acceptance rates than doctoral programs. If we were to take the University of Michigan’s grad programs in computer science and engineering, we’d find that the doctoral program has  a 15 percent acceptance rate  and the master’s  an even lower 8 percent acceptance rate .

Additionally, M.F.A. programs are particularly cutthroat. In 2015, the creative writing M.F.A. program at UT Austin’s James A. Michener Center for Writers only admitted 12 out of 678 applicants — that’s a mere 1.8 percent acceptance rate !

#3: Amount of Funding

Funding, too, plays a big role in how selective a grad program is.

Well-funded  programs typically receive more applications than those offering little to no aid, thereby raising their selectivity. Competition is especially fierce for fully funded programs — possibly because fewer people are willing to go into debt for grad school.

Compared to fully funded doctoral programs, fully funded master’s programs are somewhat rare and thus pretty competitive. UT Austin’s Creative Writing M.F.A. program, for instance, is not only a prestigious program but also one of the most well-funded Creative Writing M.F.A. programs in the country: it  offers full tuition remission and a $27,500 stipend per academic year . It’s no wonder, then, that its acceptance rate is below 2 percent!

What Are the Current Graduate School Acceptance Rates?

For this section, we’ve scoured the internet to bring you a robust assortment of acceptance rates for popular U.S. grad schools.

Before we dive in, note that not all institutions calculate grad school acceptance rates using the same methodologies. Some offer only a single acceptance rate for all of their grad schools put together, while others offer individual rates by school, field, or program.

Now, let’s see how selective these schools really are!

*Statistics for NYU are based on the number of enrolled students and not the number of admitted students. Therefore, expect actual acceptance rates to be slightly higher.

How to Find Graduate School Acceptance Rates: 4 Methods

Unfortunately, grad school admissions statistics tend to be more difficult to find than undergrad acceptance rates.  But there are ways to search for them — you just have to do a lot of digging and possibly a little reaching out.

Below are our top four methods for finding grad school acceptance rates for the programs you’re applying to.

#1: Consult School Websites

By far the most reliable resources for grad school admissions statistics are  school websites.

Start your search by consulting program and departmental pages, particularly admissions and FAQ pages. Look out for any statistics-related keywords or phrases, such as “admission(s) rates,” “acceptance rates,” “enrollment,” “facts and figures,” etc. Use ctrl+F to move swiftly through large chunks of text.

Not all schools publish grad admissions information online, and those that do don’t always report it in the same way as others. For example, Princeton offers a handy PDF  containing acceptance rates for all academic fields of study. On the other hand,  Notre Dame  gives separate admissions charts for each of its grad programs (which you can access by selecting a program and then clicking “Admissions Statistics”).

Additionally, many schools release admissions statistics without explicitly publishing acceptance rates.  In this case, it’s your job to take the statistics provided and use them to calculate an acceptance rate. To find the acceptance rate of a school or program, you’ll need the following information:

• The total number of applicants in a year
• The total number of applicants granted admission  that year

The acceptance rate equals the total number of applicants offered admission divided by the total number of applicants and then multiplied by 100, or:

$$\acceptance \rate = {\number \of \applicants \offered \admission}/{\total \number \of \applicants}100$$

Be sure to  avoid conflating the number of students who were  offered admission   with the number of students who accepted their offers of admission. These two concepts sound alike but are actually different. What you’re looking for is the first statistic — that is, the number of admitted students (regardless of whether they decided to enroll).

If you’re having trouble finding admissions statistics by browsing school websites, search on Google for “[Your School] graduate acceptance rate” and see if any relevant school pages appear. While searching for acceptance rates to use in the table above, I consistently swapped “acceptance rate” with similar phrases, such as “admission(s) rate,” “facts and figures,” “student statistics,” “admittance rates,” and “admission(s) statistics.”

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Don’t be afraid to get creative! You can also use phrases like “Ph.D. admissions statistics” or “master’s admissions statistics” to narrow your search even further. Try to think outside the box as you do your research. What are other ways people talk about acceptance rates?

#2: Check  U.S. News

If your school or program doesn’t offer any admissions statistics on its website, go to  U.S. News . This website offers official rankings of grad programs as well as lists of the most (and least) selective programs in various fields.

For example, I found a 2016 list of the most competitive online M.B.A. programs  and a 2015 list of the most competitive online graduate engineering programs .

If U.S. News doesn’t offer any relevant lists for you to use, try skimming the current grad school rankings to gauge how competitive your program is compared with others in the same field.

#3: Search Other Websites

One less reliable method for looking up grad school admissions statistics is to  look for (unofficial) websites discussing acceptance rates for your school or program.

The Grad Cafe’s  admissions results  section is a solid place to start. Here, applicants post whether they’ve been accepted, rejected, or waitlisted for grad programs.

Search for your program to get a rough feel for how many acceptances and rejections go out each year. You might notice that certain types of applicants are more active than others. Creative Writing M.F.A. applicants, for example, are prolific posters in winter and spring (during admissions season).

Occasionally, Google itself will provide you with grad school acceptance rates, but this only appears to work consistently for well-known law schools, medical schools, and business schools.

Additionally, while using Google, don’t assume that any acceptance rates that pop up are directly connected to your search terms. For example, when I searched “stanford graduate acceptance rate,” Google gave me this result:

This 4.8 percent acceptance rate is  not  the acceptance rate for Stanford’s grad programs (what I searched for) but rather the acceptance rate for undergrads. So always cross-check any statistics Google gives you.

You can also consult grad school data websites such as  Peterson’s and StartClass . Take their grad school acceptance rates with a grain of salt, though — their data isn’t always verifiable online. If possible, try to compare any data you find on these types of websites with the school websites themselves or U.S. News .

#4: Contact Schools

If the internet isn’t giving you the help you need, call or email your schools. Be polite but upfront: ask whether the school calculates acceptance rates for grad programs and where you can find this information online (if available).

If a school refuses to divulge admissions statistics or simply doesn’t report acceptance rates, see if they can give you estimates for how many applications they receive each year, or for how many acceptances they usually extend to applicants in your program.

Graduate School Acceptance: What Are Your Odds?

By this point, you might be wondering how likely it is you’ll actually get into the grad program you wish to attend. After all, acceptance rates are pretty broad — they tell you what everyone’s odds are but not your odds specifically.

Below are three easy steps for determining your odds of getting into grad school, including advice on when it’s better to go for it or choose another program.

Step 1: Check Program Requirements

First, go to your program’s website and pinpoint the admissions requirements page. Now, ask yourself:  do you meet all of the program’s basic requirements? If not, you’ll likely wind up with a rejection (and might not even be able to apply).

However, if you’re still interested in applying, contact the program and ask if they’ll make an exception for you. Your chance of getting accepted is still low, but you’ll at least have your application considered.

If your program strongly recommends qualities you lack, don’t interpret this as an automatic rejection. Sometimes, applicants can make up for deficiencies in other ways. For example, if your undergrad GPA is 3.1 and your program recommends applicants have a minimum 3.2, don’t write off the program — you might still have a shot at getting in as long as the rest of your application is solid.

On the other hand, even if you meet all of a program’s requirements, you’re not necessarily a shoo-in. Remember, all other applicants have met these requirements, too, so you’ll need to find a unique way to make your application stand out.

Step 2: Find Average GRE Scores and GPAs

Your next step is to look up your program’s average GRE scores and GPA  to see how your own scores and GPA compare with those of previously admitted applicants.

You can usually find GRE score information on admissions requirements or FAQ pages. You can also search on Google for “[Your School] [Your Program] average GRE scores.” For step-by-step instructions on how to find average GRE scores, check out  my article on average GRE scores by school .

For GPAs, you can use the same basic methodology. Check admissions requirements and FAQ pages and use ctrl+F to search for “GPA.” If GPA information is available, you’ll most likely come across minimum GPAs or average GPAs (or both). For more tips on how to find GPA information for your grad schools, read our guide .

Now, compare your own GRE scores and GPA with the averages you’ve found. Below are all possible scenarios and what they mean for you and your odds of getting into the program:

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• Your GRE scores and GPA are both  higher than your program’s averages:  Congratulations! You have an excellent chance of getting accepted, especially if the rest of your application is equally impressive. Keep up the great work!
• Your GRE scores and GPA are both  about the same as your program’s averages:  You’re doing pretty well! You are just the type of applicant your program is looking for. The only drawback is that you probably won’t stand out as much from other applicants who have similar GRE scores and GPAs. So take time to make your application sparkle (I’m looking at you, statement of purpose).
• Your GRE scores and GPA are both lower than your program’s averages (or just one of the two is lower):  It ain’t over ’til it’s over! You can still make up for your deficiencies in other ways. While you can’t change your GPA, you can retake the GRE . If your GPA is low, a great strategy for combating this is to discuss it in your statement of purpose, taking care to highlight any external factors that contributed to the low GPA as well as any attributes of yours that prove you’re indeed ready for grad school.

Step 3: Decide Whether to Apply

Now, we get to the final question: do you apply to the program or not?  This is a vague question that’s difficult to answer as is. The real questions you should be asking yourself are as follows:

• Do I meet all of the program’s basic requirements?
• Do I meet most or all of the program’s expectations of applicants (in terms of GRE scores, GPA, etc.)?
• Is the program’s acceptance rate extremely low?
• Do I really like this program?

Although acceptance rates and GRE/GPA comparisons are helpful, don’t base your decision to apply solely on how difficult the program is to get into. We can’t know for sure what kind of applicant a grad program is looking for or who they’re willing to make an exception for.

Take a moment to think deeply about how interested you are in this particular program. Be realistic about your chances of getting in — but don’t cross the line into pessimism. If you don’t meet most or all of a program’s expectations and you’re not super invested in it, consider applying elsewhere.

But if you meet some, most, or all of a program’s expectations and you’re extremely interested in enrolling, give the application a go. Remember, it’s totally normal (and even encouraged) to have a few reach schools. Plus, you’ll never get in if you don’t apply!

Key Takeaways: Graduate School Acceptance Rates

Grad school acceptance rates quantify for us the selectivity of grad schools and programs. More specifically, acceptance rates tell us  what percentage of applicants were offered admission to a particular grad school or program. 

With grad school, acceptance rates are often reported for individual schools or programs,  not  entire universities. Acceptance rates can vary widely depending on program prestige, the type of degree you’re seeking, and how much (or how little) funding a program offers.

Unlike undergrad acceptance rates, grad school acceptance rates are somewhat difficult to locate online. You can look for them using any of the following four methods:

• Peruse school websites
• Check grad school facts and lists on  U.S. News
• Browse other websites and forums such as The Grad Cafe
• Call or email your schools

When trying to determine your  odds of getting into a program, look at your program’s requirements as well as the average GPA and GRE scores of previously admitted applicants to your program. If your GRE scores and GPA are comparable to those of your program, you have a decent shot at getting accepted. If one or both are lower than your program’s averages, however, you can always try to  raise your GRE score  with a retake or address your GPA in your statement of purpose.

At the end of the day, what ultimately matters isn’t that you get accepted to a highly competitive grad program but that you make the right decision for you and you alone!

What’s Next?

Need help with your grad school application?  Learn about the most common grad school requirements  and get tips on how to write a grad school CV or resume !

Is your GPA good enough for grad school ?  Read our in-depth guide to learn how you can make up for a less-than-stellar GPA and ultimately raise your chances of getting into the school of your dreams.

Do you have to take the GRE for grad school ? When are grad school deadlines ?  Check out our guides for answers to these questions and more.

Ready to improve your GRE score by 7 points?

Author: Hannah Muniz

Hannah graduated summa cum laude from the University of Southern California with a bachelor’s degree in English and East Asian languages and cultures. After graduation, she taught English in Japan for two years via the JET Program. She is passionate about education, writing, and travel. View all posts by Hannah Muniz

Harvard Computer Science Acceptance Rate

With its prestige and high global rankings, Harvard University is one of the most selective colleges in the world. The Harvard computer science program is extremely competitive, attracting top students from across the globe.

If you’re short on time, here’s a quick answer: Harvard’s overall acceptance rate is about 5%, while the computer science acceptance rate is estimated to be 3-4% .

This article will provide a deep dive into Harvard’s computer science acceptance rates, statistics, admissions process, and tips to strengthen your application.

Harvard Computer Science Program Overview

Harvard University is renowned for its exceptional computer science program, attracting students from all around the world. With its rich history and prestigious reputation, the Harvard computer science program offers a comprehensive and rigorous curriculum that prepares students for successful careers in the field.

The Harvard computer science program consistently ranks among the top in the world. According to U.S. News & World Report , it is currently ranked #1 in the United States. This recognition is a testament to the program’s commitment to excellence in education and research.

Academics and Research

The computer science program at Harvard offers a wide range of courses and research opportunities that cater to the diverse interests of its students. From theoretical foundations to practical applications, students have the opportunity to explore various aspects of computer science.

The program boasts a distinguished faculty with expertise in areas such as artificial intelligence, data science, algorithms, and computer systems.

Students can also engage in cutting-edge research projects, collaborating with faculty members and fellow students to push the boundaries of knowledge in the field. The program encourages innovation and provides resources for students to pursue their research interests.

Student Opportunities

Harvard offers a plethora of opportunities for computer science students to enhance their learning experience and broaden their horizons. The university hosts numerous guest lectures, workshops, and seminars featuring industry experts and leading researchers.

These events provide valuable insights and networking opportunities for students.

Additionally, students can participate in internships and co-op programs with top technology companies, allowing them to gain real-world experience and apply their knowledge in practical settings. These opportunities not only enhance students’ skill sets but also provide valuable connections for future career prospects.

Furthermore, Harvard offers various student organizations and clubs focused on computer science, providing a platform for students to collaborate, share ideas, and engage in extracurricular projects. These activities foster a sense of community and encourage students to explore their passions beyond the classroom.

Harvard Overall vs. Computer Science Acceptance Rates

Overall harvard acceptance rate.

Harvard University is renowned for its high academic standards and selective admissions process. As one of the most prestigious universities in the world, the acceptance rate at Harvard is quite low. According to the latest available data, the overall acceptance rate for Harvard University is typically around 4.6%.

This means that out of every 100 applicants, only around 4 or 5 are accepted. It is important to note that this acceptance rate can vary slightly from year to year.

Estimated Computer Science Acceptance Rate

While Harvard’s overall acceptance rate is indeed quite low, it is worth noting that the acceptance rate for specific programs or departments may differ. In the case of computer science, Harvard has a highly competitive and sought-after program.

Unfortunately, the university does not publicly release the acceptance rate specifically for computer science. However, based on anecdotal evidence and discussions within the computer science community, it is estimated that the acceptance rate for Harvard’s computer science program is even lower than the university’s overall acceptance rate.

This is not uncommon for top-tier computer science programs, as they tend to receive a large number of highly qualified applicants.

Computer Science Applicant Pool

The applicant pool for computer science at Harvard is incredibly competitive. Each year, a significant number of talented individuals with a passion for technology and computer science apply to the program.

Harvard’s computer science program attracts students from all over the world who have excelled in their high school coursework, participated in coding competitions, and demonstrated a strong interest in computer science.

The university carefully evaluates each applicant’s academic achievements, extracurricular activities, essays, and letters of recommendation to select the most promising candidates for admission.

For more information about Harvard University’s admissions process and statistics, you can visit their official website: https://college.harvard.edu/admissions .

Computer Science Admissions Statistics

Getting accepted into a prestigious institution like Harvard University is a dream for many aspiring computer science students. Understanding the admissions statistics can give you valuable insights into the competitive nature of the program and help you prepare a strong application.

GPA and Test Scores

Your academic performance is one of the key factors that admissions committees consider when evaluating your application. For computer science at Harvard, the average GPA of admitted students is typically very high, often above 3.9.

Additionally, strong performance in math and science courses is highly valued. A high SAT or ACT score is also important, with many successful applicants scoring above 1500 on the SAT or 34 on the ACT.

It’s important to note that while GPA and test scores play a significant role, they are not the only criteria for admission. Harvard University takes a holistic approach, considering various aspects of your application such as extracurricular activities, letters of recommendation, and personal essays.

Demographic Profile

Harvard University is committed to creating a diverse and inclusive community, and this is reflected in their admissions process. They strive to admit students from various backgrounds and experiences.

As a result, the computer science program at Harvard welcomes applicants from all walks of life, regardless of ethnicity, gender, or socioeconomic status.

Harvard encourages students from underrepresented groups to apply and provides resources and support for their success. The university’s commitment to diversity ensures that students in the computer science program have the opportunity to learn from a wide range of perspectives, fostering a rich and inclusive learning environment.

Transfer Student Statistics

If you are considering transferring into Harvard’s computer science program, it’s important to understand the transfer student statistics. Each year, Harvard admits a small number of transfer students into the computer science program.

The exact number of available spots can vary depending on various factors, including the number of students who leave the program.

Transferring into a highly competitive program like computer science at Harvard can be challenging, but it is not impossible. The admissions committee evaluates transfer applicants based on their academic performance at their current institution, as well as their potential to contribute to the Harvard community.

If you are considering transferring, it is essential to research the specific requirements and guidelines for transfer applicants on Harvard’s official website. The university provides detailed information to help you understand the process and increase your chances of a successful transfer.

Remember, the admissions process is highly competitive, and acceptance rates can vary from year to year. It’s important to focus on presenting your best self in your application and showcasing your passion for computer science.

With dedication and hard work, you can increase your chances of being admitted to Harvard’s computer science program.

The Harvard Computer Science Admissions Process

Important deadlines.

Applying to Harvard’s Computer Science program requires careful attention to deadlines. The application deadline for the fall semester typically falls around December 15th. It is crucial to submit your application on time to be considered for admission. Late applications are generally not accepted.

Therefore, it’s advisable to start working on your application well in advance to avoid any last-minute rush.

Required Application Materials

When applying to Harvard’s Computer Science program, you need to gather several essential application materials. These typically include:

• Transcripts: You will need to submit official transcripts from all the educational institutions you have attended.
• Letters of Recommendation: You will need to request letters of recommendation from professors or professionals who can speak to your academic abilities and potential.
• Statement of Purpose: You will need to write a compelling statement of purpose that outlines your interest in computer science and why you want to study at Harvard.
• Standardized Test Scores: You will need to submit your scores from standardized tests like the SAT or ACT.
• Resume: A detailed resume highlighting your academic achievements, extracurricular activities, and relevant work experience can also strengthen your application.

It is important to carefully review the application requirements on Harvard’s official website to ensure you provide all the necessary materials.

Decisions and Notification Dates

After submitting your application, the waiting game begins. Harvard’s Computer Science program has a highly competitive admissions process, and decisions are typically released in the spring. The specific notification dates may vary from year to year, so it’s essential to keep an eye on Harvard’s official website for updates.

Once decisions are released, you will receive an email or postal mail notifying you of the outcome. If you are accepted, congratulations! You will be given a deadline to accept or decline the offer. If you are waitlisted or denied, remember that it’s not the end of the world.

There are many other excellent computer science programs out there, and you can explore other options and continue pursuing your passion for coding and technology.

For more information on the Harvard Computer Science Admissions Process, you can visit the official Harvard College Admissions website here .

Tips for Getting Accepted

If you’re dreaming of studying computer science and becoming a part of the prestigious Harvard University, it’s important to understand the competitive nature of the application process. With a low acceptance rate, gaining admission can be challenging.

However, by focusing on certain aspects of your application, you can improve your chances of being accepted.

Academic Preparation

One of the most crucial factors in getting accepted into Harvard’s computer science program is your academic preparation. It goes without saying that you need to have an excellent academic record. A strong foundation in mathematics, science, and computer programming will greatly enhance your application.

Taking advanced courses, participating in coding competitions, and pursuing independent projects can demonstrate your passion and dedication to the field.

Furthermore, it’s important to maintain a high GPA and aim for a competitive standardized test score. These academic achievements will show the admissions committee that you have the intellectual capacity to succeed in their program.

Extracurriculars

While academics are crucial, Harvard also values well-rounded individuals who have diverse interests and make a positive impact outside of the classroom. Engaging in extracurricular activities related to computer science can greatly enhance your application.

Consider participating in coding clubs, hackathons, or internships at tech companies. These experiences will not only showcase your technical skills but also demonstrate your ability to work in a team and solve real-world problems.

Additionally, don’t forget to pursue other interests and hobbies outside of computer science. Harvard values students who can bring a unique perspective to their campus. Whether it’s playing a musical instrument, participating in community service, or excelling in a sport, showcasing your talents and passions beyond the realm of computer science can set you apart from other applicants.

Essays and Recommendations

When it comes to the essays and recommendations, it’s essential to make them stand out. Your essays should showcase your personality, motivations, and aspirations. Use this opportunity to tell your unique story and explain why you’re passionate about computer science and why Harvard is the perfect fit for you.

Be genuine and authentic in your writing, and don’t be afraid to share personal anecdotes or experiences that have shaped your journey.

Moreover, choose recommenders who know you well and can speak to your abilities and potential. Whether it’s a teacher, mentor, or supervisor, these individuals should be able to highlight your academic achievements, leadership skills, and dedication to computer science.

Make sure to give your recommenders ample time to write thoughtful and personalized letters.

Remember, the competition for acceptance into Harvard’s computer science program is fierce. By focusing on your academic preparation, engaging in meaningful extracurricular activities, and crafting compelling essays and recommendations, you can increase your chances of getting accepted. Good luck!

The Harvard computer science program is highly selective, often accepting less than 5% of applicants. However, strong candidates can maximize their chances through academic excellence, impactful extracurriculars, and compelling application materials.

With thorough preparation and a competitive application, motivated students can position themselves to join the ranks of elite computer scientists who begin their journeys at Harvard.

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Top 10 Best PhD in Computer Science Programs

Are you looking to further your studies in computer science? Perfect! I’ve researched and put together these ten computer science PhD programs, so keep reading to find your next course!

As you know, PhD in computer science holders are sought-after specialists, with current demand far outstripping supply. According to the Bureau for Labor Statistics , jobs for computer and information research scientists are estimated to grow by an impressive 22% between 2020 and 2030. You might score similar positions with a PhD in mathematics , too. But a PhD in computer science can open doors to some of the most lucrative jobs in the industry.

Let’s explore some of the best computer science PhD courses in the US!

Table of Contents

Best Computer Science PhD Programs and Universities

Stanford university.

PhD in Computer Science

Stanford University is one of the most famous research institutions in the world, and its Computer Science programs have been ranked second  in the USA. This PhD program involves a research rotation scheme where students participate in different research groups during the first year. This exposes them to different subjects and lets them know the faculty and fellow students.

• Courses : Analysis of algorithms, programming languages, and computer network & security.
• Credits : 135 course units
• Duration : 5-6 years
• Delivery : On-campus
• Tuition : Refer tuition page  (full funding available)
• Financial aid : Research assistantships, teaching assistantships, fellowships, and grants
• Acceptance rate:  5.2%
• Location : Stanford, California

Massachusetts Institute of Technology

PhD in Computer Science and Engineering

MIT is known as the best technical institution in the world, and its computer science programs were ranked first  in the country by the US & News report. Students can work with all schools and departments throughout their studies.

• Courses : Software & computation for simulation, process data analytics & machine learning, and numerical computing & interactive software.
• Credits : 60
• Tuition : Refer tuition page
• Financial aid:  Scholarships, federal work-study, fellowships, assistantships, grants, and veteran benefits
• Acceptance rate:  7.3%
• Location : Cambridge, Massachusetts

Carnegie Mellon University, School of Computer Sciences

CMU is a globally acclaimed private research university, home to conducting cutting-edge technology research across its seven prestigious schools. This is one of the few PhD programs in computer science with an optional dual degree arrangement enabling you to study programs with one of seven Portuguese universities.

• Courses : Algorithms & complexity, artificial intelligence, and software systems.
• Credits : 96 university units
• Tuition : $48,250 per year
• Financial aid:  Full funding, fellowships, and scholarships
• Acceptance rate : 17.3%
• Location : Pittsburgh, Pennsylvania

Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences

Harvard University is a world-renowned research institution that aims to achieve the perfect mix of scholarship and innovation. Across the university, every PhD student is given a field advisor right from the beginning of the program. Then, the student identifies a research area and a potential research advisor in their first two semesters. Upon qualifying, the research advisor nominates a research committee to assist the student throughout their graduate career.

• Courses : Algorithms & their limitations, data structures & algorithms, and cryptography.
• Credits : 16 half-courses
• Duration : 2 years minimum
• Financial aid : Full funding, fellowships, teaching assistantships, and research assistantships
• Acceptance rate:  5%

Duke University, The Graduate School

Duke University is an internationally acclaimed private research university known for its inclusivity. Its Center for Exemplary Mentoring aims to increase the number of PhD graduates from underrepresented and minority communities. Its PhD of Computer Science program is flexible and allows students to choose between a coursework-only option of 30 credits or a thesis.

• Courses : Programming & problem solving, computational microeconomics, and software design & implementation.
• Credits : 8 courses
• Duration : 5 years
• Tuition : $4,325  per semester
• Financial aid : Grants, fellowships, teaching assistantships, and research assistantships
• Acceptance rate : 7.7%
• Location : Durham, North Carolina

The University of California Berkeley, Department of Electrical Engineering and Computer Sciences (EECS)

The University of California Berkeley is a prestigious university committed to student diversity and has a dedicated Office for Graduate Diversity to support students from all backgrounds. This PhD program offers research opportunities in biosystems and computational biology, cyber-physical systems and design automation (CPSDA), and computer architecture and engineering.

• Courses : Combinatorial algorithms & data structures, design of programming languages, and implementation of database systems.
• Credits : 24 units minimum
• Duration : 5.5 – 6 years
• Tuition : $6,132 per semester
• Financial aid : Fellowships, scholarships, grants, research stipends, loans, and work-study
• Acceptance rate : 17%
• Location : Berkeley, California

California Institute of Technology, Computing & Mathematical Sciences Department

The California Institute of Technology, also known as Caltech, is one of the most renowned technology institutions in the world despite its comparatively small size. This PhD program allows students to develop an in-depth understanding of and conduct research in areas related to mathematical and algorithmic foundations of computer science.

• Courses : Quantum cryptography, information theory, and network control systems.
• Credits : 135 units
• Duration : 6 years
• Tuition : $63,063  per year
• Financial aid : Fellowships, assistantships, loans, stipends, scholarships, and work-study
• Acceptance rate : 6.7%
• Location : Pasadena, California

Cornell University, Bowers College of Computing and Information Science

Cornell University is home to several famous technology schools, such as Cornell Tech, which conducts cutting-edge research to find solutions to the challenges of our modern, digital world. In this PhD program, students choose a minor from one of the 90 available fields outside of computer science to widen their knowledge base.

• Courses : Parallel computing, programming environments, and natural language processing.
• Duration : 12 semesters
• Tuition : $24,800  per year
• Financial aid:  Assistantships, fellowships, loans, and stipends
• Acceptance rate : 10.7%
• Location : Ithaca, New York

The University of Illinois Urbana-Champaign, The Grainger College of Engineering

The Grainger College of Engineering focuses on research to improve quality of life through innovation, entrepreneurship, and societal engagement. In this flexible PhD program, students are assigned three committee members during the first semester. The student can then consult with these mentors to plan their studies to meet their career goals.

• Courses : Programming language semantics, machine learning for signals, and learning-based robotics.
• Credits : 96, or 64 if you already have an MS
• Duration : 5-7 years
• Financial aid : Grants, fellowships, waivers, loans, and employment
• Acceptance rate : 63.3%
• Location : Urbana, Illinois

Princeton University, The Graduate School

Princeton University is one of the top universities in the country in computer science doctorate programs. This PhD program involves studying six courses, including one each from the three main areas of Artificial Intelligence, Systems, and Theory, which form the program’s core.

• Courses : Programming languages, advanced computer systems, and information theory & applications.
• Credits : 6 courses
• Tuition : $62,860  per year
• Financial aid : Teaching assistantships, research assistantships, and fellowships
• Acceptance rate : 5.6%
• Location : Princeton, New Jersey

What Do I Need to Get a PhD in Computer Science?

For most programs, you’ll need a bachelor’s or master’s degree in computer science or a related field; however, exact eligibility requirements vary depending on the school. To earn your PhD, you’ll typically need to complete coursework, qualifying exams, and a dissertation.

What to Consider When Choosing a Computer Science PhD Program

Several US schools and universities offer PhD in computer science programs — choosing the right program for you can feel overwhelming. So, take your time and research the curriculum and specialties for different programs to make sure they match your areas of interest.

If you’re unsure about the areas you want to specialize in, I advise you to read research papers across different fields and discuss career opportunities with people in the industry. It’s also a good idea to look up the faculty from the programs you’re interested in and review their recent papers.

Here are some key factors to keep in mind when choosing a computer science PhD:

• Curriculum and specialties offered
• The program’s reputation
• Faculty, their specialties, and reputation
• Cost of tuition and other fees
• Delivery mode: on-campus, online, or hybrid
• Funding options

Related Reading:  Top 10 Best Online PhDs in Computer Science

Why Get a Doctor of Computer Science Degree?

A doctorate in computer science will equip you to become a leading researcher in today’s digital technologies. You’ll also be eligible for senior academic positions with a PhD in the field.

Furthermore, a PhD in computer science allows you to work in various respectable roles. Here are some of the top jobs and average yearly salaries for computer science PhD holders:

• Data Scientist – $99,710
• Chief Data Scientist –  $211,702
• Software Architect – $136,541
• Software Development Manager – $133,534
• Senior Researcher – $107,657

Approximately 2,000 students earn a computer science PhD from US universities each year. The industry demand is much greater than the supply. Furthermore, many PhD candidates are international students who return home after graduation. Therefore, graduates with a PhD in computer science are in high demand in the US.

PhD in Computer Science: Key Facts

How much does a phd in computer science cost.

Tuition varies depending on the program but generally falls between $15,000 and $60,000 per year. Besides the tuition fees, you will also need to factor in additional costs like academic fees, books, other educational resources, and living expenses.

How Long Does It Take to Get a PhD in Computer Science?

A PhD in computer science usually takes 3-7 years to complete.

What Skills Do You Gain from Doing a PhD in Computer Science?

A PhD in computer science allows students to develop leadership, problem-solving, and research skills related to complex topics like artificial intelligence, machine learning, and robotics.

Key Takeaways

A PhD in computer science is one of the most in-demand qualifications in today’s hyper-digital world. It can equip you with specialized skills and knowledge to address modern tech problems with innovative solutions.

If you found this article helpful, take a look at our other guides, including the best Master’s in Computer Science programs , the top online PhD programs , and the highest paying PhDs .

Frequently Asked Questions

What is a phd in computer science like.

A PhD in computer science typically involves research, coursework, thesis preparation, teaching, and seminars related to computer science subjects. Individual programs may have other requirements.

Can You Get a PhD in Computer Science?

Yes, many universities offer computer science PhD programs . You’ll usually need a bachelor’s or a master’s degree in computer science or a related field to apply.

Is a PhD in Computer Science Worth It?

While a PhD in computer science requires considerable financial investment, it is a valuable qualification in today’s tech-forward world. Plenty of job opportunities and high remuneration levels await a computer science PhD graduate, with the average annual salary of $133,000 per year.

What Does a PhD in Computer Science Do?

A qualified PhD computer science graduate may conduct research in complex computer systems, design and develop programs and applications, or study human-computer interaction to find innovative solutions for society. They may also work in academics, either in teaching, research, or both.

What Can I Do with a PhD in Computer Science?

With a PhD in Computer Science on your resume, you’ll be hired for roles like data scientist, software architect, researcher, or academic professor and build a prestigious, high-paid career.

Which Subject is Best for a PhD in Computer Science?

A wide range of subjects will qualify you to apply for a doctoral degree in computer science. Popular topics include data structures and algorithms, computer systems and organization, and discrete computer science mathematics. The best subject for you depends on your interests and career ambitions.

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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Computer Science

Undergraduate

The concentration in Computer Science is designed to teach students skills and ideas they will use immediately and in the future. Because information technology affects every aspect of society, graduates with computer science degrees have open to them an enormous variety of careers—engineering, teaching, medicine, law, basic science, entertainment, management, and countless others. Students are also eligible to apply for an A.B./S.M. degree program.

The Bachelor of Liberal Arts degree is designed for industry professionals with years of work experience who wish to complete their degrees part time, both on campus and online, without disruption to their employment. Our typical student is over 30, has previously completed one or two years of college, and works full time.

A graduate degree in computer science equips you to stay ahead of the curve and meet the computing challenges of today and tomorrow. In our rigorous master’s degree program, you’ll focus on advanced computer science theories and applications. Learning from expert faculty from Harvard and industry, you’ll acquire the skills to design, develop, and maintain complex computer and software systems.

Harvard School of Engineering offers a Doctor of Philosophy (Ph.D) degree in Computer Science, conferred through the Graduate School of Arts and Sciences. In addition to the Ph.D. in Computer Science, the Harvard School of Engineering also offers master’s degrees in Computational Science and Engineering as well as in Data Science. Computer scientists at Harvard pursue work in a wide range of areas including theoretical computer science, artificial intelligence, economics and computer science, privacy and security, data-management systems, intelligent interfaces, operating systems, computer graphics, computational linguistics, robotics, networks, architectures, program languages, machine learning, and visualization.

Master's in Computational Science and Engineering

The Computational Science and Engineering (CSE) master’s program, led by faculty from Computer Science, Applied Math, and the Engineering Sciences, provides rigorous training in the mathematical and computational foundations of CSE. 

CSE is an exciting and rapidly evolving field that exploits the power of computation as an approach to major challenges at the frontiers of natural and social science and all engineering fields. Sitting at the intersection of Computer Science and Applied Math, the master’s program offers students experience with mathematical techniques for modeling and simulation of complex systems; parallel programming and collaborative software development; and methods for organizing, exploring, visualizing, processing and analyzing very large data sets.

Students interested in the CSE program can apply to the Master of Engineering (ME) degree. The degree can be completed in 2 semesters (one academic year), although many students choose to extend to a third semester to take additional courses and to allow themselves time to pursue a summer internship in industry. To earn the ME degree, students will spend four semesters (two academic years) on campus, spending a year on a master’s thesis research project.

SEAS will be hosting virtual information sessions this Fall for students interested in the Computational Science and Engineering master's program (as well as the Data Science and MS/MBA programs). Registration for these sessions is available on the Admissions Events page for prospective graduate students .

In Applied Computation

• How to Apply
• Learning Outcomes
• Master of Science Degree Requirements
• Master of Engineering Degree Requirements
• CSE courses
• Degree Requirements
• Thesis Option
• Data Science courses
• Data Science FAQ
• Secondary Field Requirements
• Advising and Other Activities
• Alumni Stories
• Financing the Degree
• Student FAQ

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Harvard is really poor at Computer Science

I am writing this to let people know about some harsh facts I got to know that many PhD students suffer from after joining Harvard CS. I am a recent admit and talked to a ton of professors/PhDs/Postdocs while making the decision. Here are some of my takeaways :-

It is OK to have small departments but Harvard CS department is not just small, they dont have any plans to expand it to a bigger group in the near future (decade or two). This was explicitly mentioned by 7 out of 8 professors that I talked to.

Harvard is great for med school, and in some ways, tries to push its researchers to apply things in medical space. So if you dont want to work on medical applications, harvard might come as a disappointment.

Mental Health Problem. OMG. This came as a shocker to me but 99% of PhDs that I talked to told me that they had to seek some medical advise during their PhD time due to excess stress from all the research work. This was also correlated with the size of the department. There is a lot of work assigned to small number of PhD students because they cannot hire more due to budget constraints. Professors at Harvard CS are also under massive stress to get papers and research out. I talked to many other groups from other universities, and its stressed everywhere but nowhere close to what Harvard students are facing.

Placements : You will have to work atleast 3 times more than a student from average ranking CS university since companies dont come to Harvard to hire tech geniuses. This was based on two PhD students who have the top most number of citations for their papers in machine learning.

SUPER BUSY ADVISORS : Professors dont have time in Harvard. They will leave you with your shit to handle. If you get lucky you get some Postdoc to help you out, but that's pretty much it.

Heavy attrition rate : In the past few years, some of the best researchers have left Harvard CS. That includes Sasha Rush, Ryan Adams, etc. I talked to their old students and they are in a bit of a pickle looking for advisors coz not many professors have the money to fund them, or they don't work on similar topics. If machine learning is what you are looking for, Harvard CS is a bad choice.

I am sharing this because I was in deep stress to choose Harvard since many people around me were making it a big deal. Its hard to sacrifice 5 years to build a "brand" at the cost of mental distress. So folks, take your time and dont sway with garbage. After a ton of research, I dont think I will regret rejecting Harvard.

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Study Computer Science at Harvard University

• Updated on  
• Dec 4, 2023

Computer Science is a very lucrative field involving building algorithms, machine learning and artificial intelligence . Although India has some of the best emerging colleges for Computer Science courses, still, some of the Indian aspirants dream of pursuing Computer Science courses abroad from the top universities at the top study abroad destinations . Well, Harvard University needs no introduction as the university is known to drive dramatic pauses wherever the name travels. Let’s dive deep and know more about trending and popular Computer Science programs at Harvard University. 

Also, know about MBA at Harvard University

This Blog Includes:

Computer science at harvard university, ba in computer science (bachelor of arts in computer science), ba-ms in computer science (concurrent bachelors and masters in computer science), meng in computational science and engineering, msc in computational science and engineering , msc in applied computation, phd in computer science , harvard university computer science online courses , harvard university acceptance rate , harvard university computer science entry requirements, how to apply , harvard university computer science fees, career scope and salary.

Computer Science at Harvard University is taught by the Harvard School of Engineering. The courses are popular for teaching both the fundamentals of computation and the global interaction with computation.

A Computer Science course at Harvard University helps in learning new programming languages, developing new algorithms and creating systems for all fields of profession- law, art, science or engineering.

Did you know: Out of 30 ‘Forbes 30 under 30’ 2021 awardees were an alumni of computer science at Harvard University.

Harvard University Computer Science Undergraduate Programs

Harvard University offers various undergraduate programs for Computer Science and the details on all of them are given below:

An undergraduate course, BA in Computer Science at Harvard University teaches you deeper mathematics, statistics, theoretical Computer Science and computer software. It is a 4-year bachelors program with fourteen 4-credit courses. Some of the concentrations you will learn within this course are Artificial Intelligence, Computer Systems and Networks, Database Systems, Human-Computer Interaction, etc.

If you have taken the AP tests (Advanced Placement) and have advanced standing in the same, you can opt for a concurrent Bachelors and Masters program in Computer Science. Each student has to take up 5 courses per semester to complete their minimum masters and bachelors requirements. A minimum GPA of 3.6 is expected for applying to this concurrent BA-MS 4-year Computer Science program. 

Harvard University Computer Science Graduate Programs

Harvard University offers various postgraduate Computer Science programs and here’s a list of choices for you:

A 2-year Masters in Engineering at Harvard University for Computer Science, this degree provides you rigorous training in building the science that goes under making computers and components of computers . This course does have a co-op option to work in the relevant industry for alternate terms. 

If you want to do a Masters in Computer Science at Harvard University, you can either go for a Masters In Engineering (MEng) or a Master of Science (MSc). While MSc teaches you a balanced intense theory plus experimentation work, the MEng course is structured for students to go under technical training. 

MSc in Applied Computation is a program that involves principles of both data science and computer science to solve IT-related problems. It is a 2 years masters course. 

The Computer Science PhD program at Harvard University is a 3+ years long program. You have an option of either studying in the thesis mode or project mode. 

We know how finding the perfect course for your study in the USA can be difficult. Try our AI Course Finder to get the perfect course for you in just a few seconds!

If you feel that you don’t have enough academics or monetary resources for an on-campus degree or diploma in Computer Science at Harvard University, you can pursue one of their free Computer Science online courses . Details about the various Harvard University Computer Science online courses are given in the table below:-

Note: All of these online courses for Computer Science programs are free of cost and taught on the EdX platform . These are self-paced courses which means you can choose to learn at whatever time is suitable for you. To earn a verified certificate in Computer Science, you have to pay $200 or Rs. 14,838. 

Harvard University released its admission statistics which says that the most recent Harvard acceptance rate according to the applicants for the class of 2025 is 4.01% which is extremely competitive. 15.5% of the students at Harvard are international and 8.1% of the students choose Computer Science as their field of concentration. Since the interest in Computer Science courses is immense, the screening process is also very rigid. The Computer Science acceptance rate at Harvard University is approximately 7% . 

If you are an Indian student wanting to study Computer Science programs at Harvard University, you are required to fulfil the following requirements.

For the undergraduate Computer Science programs:

• All academic transcripts in the English language
• IELTS – 6.5 for proof of English proficiency 
• Physics and Chemistry in class 12th subjects
• Minimum 55% in class 12th Mathematics 
• SAT minimum scores of 1460
• Statement of Purpose
• Minimum 3 letters of recommendation 
• Updated Resume 

For the graduate Computer Science programs:

• Bachelor’s degree in Computer Science or equivalent field with a minimum GPA of 3.0-4.0
• Grade 11th and 12th subjects should have Mathematics, Chemistry and Physics
• GRE minimum score of 292 
• IELTS – 7 for proof of English proficiency
• Statement of Purpose 
• Minimum 3 letters of recommendation
• Updated resume  

Here’s a List of Important Documents Required to Study Abroad

Note: Although these basic requirements are mandatory to fulfil, you cannot get into Harvard solely on academic requirements. Your individualism and potential in the Computer Science field is a major deciding factor.

We know how difficult it can be to get into Harvard, especially in a competitive field like Computer Science. To ease out your application stress, we’ve curated a step-by-step guide for you to follow to apply for Harvard University Computer Science programs: 

• Go to the Common Application or Coalition Application and register your profile. 
• Choose to apply to Computer Science courses at Harvard University.
• You should take all your competitive and English tests before you complete your application. 
• Make sure to add the details carefully to avoid any mistakes in the application. 
• Attach all the important documents required for admission in the USA . 
• Submit your application and wait to hear from the admission committee for 4 to 6 weeks. 
• You may be asked for an interview if your application is incomplete. 
• If accepted, you have to formally confirm your acceptance within a limited time. 
• You can start looking for accommodations, scholarships and USA student visa applications . 

Know more about How to Get Into Harvard? [Complete Admission Guide]

The tuition fee for the Harvard University Computer Science courses are given below:

Please note that these costs are just estimated on the popular choices of living while studying at Harvard University. If you want a more personalised cost, use the Cost of Living Calculator .

A Computer Science degree can open up opportunities for you in the real world that you never knew existed. Gaming or defense, Computer Science is needed in every field of profession. You can venture into the following fields with a Harvard University Computer Science degree:

• Artificial Intelligence
• Computer Architecture
• Software Engineering 
• Computer Design and Engineering
• Theoretical Computer Science 
• Information Technology 
• Operation Systems and Network
• Software Applications 

The Computer Science graduates from Harvard University either choose to work as programmers in the industry or further pursue doctoral programs. A Harvard graduate can earn up to INR 51.93 lakhs per year which is one of the highest starting salaries for graduates around the world. 

A BA in Computer Science at Harvard is 4-year long undergraduate program.

With a computer science degree from Harvard, you can venture into the following fields: Artificial Intelligence Computer Architecture Software Engineering Computer Design and Engineering Theoretical Computer Science

The average cost of studying computer science at Harvard is INR 19-40 Lakh per annum.

If you are curious to know how computers work and see yourself making ones in the future, Harvard University Computer Science courses are just for you! Call our Leverage Edu experts on 1800-572-000 right now who will stick by you throughout the journey and guide you to the USA.

Team Leverage Edu

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Email forwarding for @cs.stanford.edu is changing. Updates and details here . CS Commencement Ceremony June 16, 2024.  Learn More .

PhD Admissions

Main navigation.

The Computer Science Department PhD program is a top-ranked research-oriented program, typically completed in 5-6 years. There are very few course requirements and the emphasis is on preparation for a career in Computer Science research. 

Eligibility

To be eligible for admission in a Stanford graduate program, applicants must meet:

• Applicants from institutions outside of the United States must hold the equivalent of a United States Bachelor's degree from a college or University of recognized good standing. See detailed information by region on  Stanford Graduate Admissions website. 
• Area of undergraduate study . While we do not require a specific undergraduate coursework, it is important that applicants have strong quantitative and analytical skills; a Bachelor's degree in Computer Science is not required.

Any questions about the admissions eligibility should be directed to  [email protected] .

Application Checklist

An completed online application must be submitted by the CS Department application deadline and can be found  here .

Application Deadlines

The online application can be found here  and we will only one admissions cycle for the PhD program per respective academic term.

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This program has a rich tradition of creating groundbreaking statistical methods and conducting innovative applied statistics, bridging theory and practice and supporting knowledge discovery and decision-making through meaningful data extraction and analysis. Statistics is an indispensable pillar of modern science, including data science and artificial intelligence.

You can take advantage of the department’s flexible research options and work with your faculty of choice. You can leverage cross-department collaboration with biology, chemistry, medical sciences, economics, computer science, government, and public health to pursue your intellectual interests. You will become part of a close-knit, friendly department that offers many extra learning opportunities both inside and outside the program.

Examples of student projects include developing statistical methods to forecast infectious diseases from online search data, delineating causality from association, building a software package for evaluating redistricting plans in 50 states, leveraging machine learning algorithms for model-free inference, and employing a randomization-based inference framework to study peer effects. 

Graduates have secured faculty positions in institutions such as Stanford University; University of Pennsylvania; University of California, Berkeley; Johns Hopkins University; Carnegie Mellon University; Columbia University; and Georgia Institute of Technology. Others have begun careers at organizations such as Google, Apple, Etsy, Citadel, and the Boston Red Sox. 

Additional information on the graduate program is available from the Department of Statistics , and requirements for the degree are detailed in Policies .

Admissions Requirements

Please review admissions requirements and other information before applying. You can find degree program-specific admissions requirements below and access additional guidance on applying from the Department of Statistics .

Academic Background

Applicants should understand what the discipline of statistics entails and show evidence of involvement in applications or a strong theoretical interest.

The minimum mathematical preparation for admission is linear algebra and advanced calculus. Ideally, each student’s preparation should include at least one term each of mathematical probability and mathematical statistics. Additional study in statistics and related mathematical areas, such as analysis and measure theory, is helpful. In the initial stages of graduate study, students should give high priority to acquiring the mathematical level required to satisfy their objectives.

As statistics is so intimately connected with computation, computation is an important part of almost all courses and research projects in the department. Preferably, students should have programming experience relevant for statistical computation and simulation.

Standardized Tests

GRE General: Optional GRE Subject: Optional

Theses & Dissertations

Theses & Dissertations for Statistics

See list of Statistics faculty

APPLICATION DEADLINE

Questions about the program.