phd mathematics malaysia

• POSTGRADUATE
• INTERNATIONAL

Admission  @Universiti Sains Malaysia

Postgraduate.

• Pure Sciences Research

PhD (Mathematics) - School of Mathematical Sciences

The programme is to produce experts in the field of Computational and Applied Mathematics who are able to undertake research and development activities in addition to teaching of Computational and Applied Mathematics at the postgraduate level.

Research Thrust Areas:

1. Pure Mathematics

• Complex Analysis
• Groups and Moufang Loops
• Finite Groups Representation Theory
• Geometric Function Theory
• Coding Theory
• Number Theory

2. Applied Mathematics

• Numerical Analysis
• Parallel Numerical Algorithms
• Cryptography
• Functional Differential Equations
• Convergence and Learning Algorithms of Neural Network
• Differential Equations
• Neural Networks
• Numerical Linear Algebra
• Optimazations

3. Operation Research

• Inventory Control
• Network Flow
• Multiple Criteria Decision Making
• Maintenance Modelling
• Linear Programming
• Production Management
• Decision Analysis
• Data Envelopment Analysis

4. Computer Aided Geometric Design

• Computer Aided Geometric Design
• Optimization
• Computer Graphics

5. Mathematical Modelling

• Mathematical Modelling
• Environmental Evaluation Modelling
• Environmental System Modelling
• Adaptive Digital Signal Processing
• Phase-field Modelling
• Computational Intelligence

Expertise available in the following School: School of Mathematical Sciences

Applicants should possess one of the following:

• A Master's degree in research mode; or
• A Master’s degree in related area with CGPA 3.00/4;  or
• A Master’s degree in related area with CGPA 2.50-2.99/4 with additional requirements; or
• Bachelor’s degree in related area with minimum CGPA 3.67/4 (fast-track to PhD)
• Not Applicable

Full-time: Min 4 semesters / Max 10 semesters

Part-time: Min 6 semesters / Max 15 semesters

** Fees are subject to change

Institute of Postgraduate Studies Universiti Sains Malaysia 11800 Penang, Malaysia. Tel : +604 653 2606 Fax : +604 653 2940 This email address is being protected from spambots. You need JavaScript enabled to view it.

Undergraduate

Student Admission Unit Academic Management Division Registry, Level 2, Chancellory Building Universiti Sains Malaysia, 11800 Penang, Malaysia. Tel : 1 300 888 876 / +604-6533196 Fax : +604 653 3328 This email address is being protected from spambots. You need JavaScript enabled to view it.

Universiti Sains Malaysia shall not be liable for any inaccuracies, errors, or misunderstandings arising from the use of Google Translator. Users are encouraged to approach translations with awareness and consideration for the limitations of machine translation technology. Information published on the English version will be used in the case of discrepancies.

© Copyright 2023  Universiti Sains Malaysia. All Rights Reserved. Developed by PPKT@USM

• Student life
• Schools and departments
• NottinghamHub
• Blue Castle

What are you looking for?

MPhil/PhD Mathematical Sciences

• Full-time: MPhil: 1-2 years / PhD: 3-4 years
• Part-time: MPhil: 2-4 years / PhD: 6-8 years
• Start date: February, April, June, September 2024
• Malaysian fee: RM44,075* per year
• International fee: RM51,865* per year
• Intake: February, April, June, September

Research overview

Join the School of Mathematical Sciences to work on projects in both fundamental and applied mathematical sciences that can be applied to solve a wide range of real-world problems. Projects cover the areas of:

• Pure mathematics
• Applied mathematics
• Statistics and probability
• Mathematical education

Why choose this programme?

We're seeking enthusiastic research students who are eager to shape the future of mathematical sciences and have a positive impact to the world. Our research projects encompass a wide range, from developing innovative mathematical models to utilizing mathematical sciences for creating sustainable materials and advancing healthcare. Join us and contribute to making a difference in the world through your passion for research.

Our research activities revolve around three captivating research themes, encompassing both traditional areas and emerging, multidisciplinary challenges:

Data-driven modelling and computation

Teaching and learning in mathematics higher education, algebra and cryptography, course content.

Throughout your PhD you will focus on learning what information is already published and identifying gaps in knowledge. You will start to formulate your own research questions and develop skills to become a professional researcher.

• Study the research literature in your field, guided by your PhD advisor.
• Attend seminars on modern research.
• Take additional training in mathematical sciences and research skills.
• Conduct research and obtain novel results.
• Be part of an active and welcoming community of research students.
• Write annual reports and journal publications to communicate your research findings.
• Complete a written thesis of up to 100,000 words.
• Take a verbal examination (viva voce) where you defend your research to an expert examination panel.

Learning assessment

The emphases are on both broadening your knowledge base and improving the skills and techniques relevant for doing research on thesis-specific matters.

The PhD programme includes a training element, which may include research work as well as traditional taught material, and will include assessed components, designed to support your research.

In each year you will have regular meetings with your supervisor and an annual review.

Entry requirements

All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements below apply to 2024 entry.

A master’s degree with a distinction or merit grade (or international equivalent) plus, an upper second class honours degree (or international equivalent) in mathematics or a closely related discipline with substantial mathematical content. Non-UK qualifications will be assessed against this standard.

If deemed necessary, applicants may also be required to attend an interview.

A first class honours degree (or international equivalent) in mathematics or a closely related discipline with substantial mathematical content. Non-UK qualifications will be assessed against this standard.

An upper second class honours degree (or international equivalent) in mathematics or a closely related discipline with substantial mathematical content. Non-UK qualifications will be assessed against this standard.

Applicants must have graduated from an approved university. Other equivalent qualifications will be considered on a case-by-case basis.

Entry requirements in the prospectus and website may not always apply and individual offers may vary.

IELTS, TOEFL and PTE (Academic) test results must be less than two years old and all IELTS must be the academic version of the test. MUET results are valid for five years from the date of the release of results.

How to indicate your research interests

You do not need to submit a detailed proposal, but you must indicate a research theme(s)* that interests you and/or name specific academic staff members who could be your potential project supervisor and/or name specific projects.

*See Section Research Themes and Projects

Further information required when applying:

• Brief motivation for doing a PhD
• Your academic record and research experience
• Sources of funding (if applicable)

The School of Mathematical Sciences provides dedicated support to its postgraduate researchers. Your supervisors will support you throughout your research period. There is also further support within the school including:

• Mentoring system amongst research students.
• Mental health support in the form of regular meetings for research students only.
• Dedicated contacts for Support and Wellbeing, and for PGR Student Advice.

In addition, you will have access to a range of support services, including:

• academic and disability support
• childcare services
• counselling service
• financial support
• mental health and wellbeing support
• visa and immigration advice
• welfare support

Where you will learn

Malaysia campus.

Semenyih Campus is 48km from Kuala Lumpur International Airport and just 45 minutes’ drive from the famous city centre with its iconic Petronas Twin Towers. On arrival, you are immersed in the green jungle backdrop that Malaysia provides with wildlife, sunshine and campus lake.

The campus is home to our business, education, science and engineering schools, which sit alongside a sports centre, library and student accommodation. The University has everything a modern day student could wish for with the added bonus of being located in central Asia allowing you to travel further afield in your free time.

Public transport is plentiful with free shuttle services operating on some routes. Taxi/Grab services in Malaysia are very reasonable and used widely by the student community.

A postgraduate qualification in Mathematics or Statistics can lead to roles such as academic, data scientist, policy analyst or economist in government organisations and research institutes, banks and investment companies, health research institutes, or as management consultants in finance, insurance, IT, engineering, market research and management consulting

The Careers Advisory Service (CAS) provides you with essential resources and guidance in your career development. There are many opportunities awaiting for you to develop the skills needed to plan and manage your future.

Besides career in academia, PhD graduates in mathematics are in great demand in several sectors, including banking, finance, consulting, data analysis, and various types of industrial research.

Some of the job opportunities for PhD graduates in mathematics are:

• Assistant Professor
• Data scientist
• Mathematical Modeller
• Project leader
• Post-doctoral researcher
• Research scientist
• Statistician

Research Themes and Projects

Data-Driven Modelling & Computation, a prominent field in mathematics, holds significant relevance across various disciplines such as engineering, physical sciences, biological sciences, and medical sciences.

A substantial number of staff from diverse disciplines within the School of Mathematical Sciences are actively engaged in these expansive fields. They contribute significantly to the advancement of novel methodologies, algorithms, and pioneering applications that encompass disease modelling, stochastic modelling, distributional analysis, image analysis, and food engineering. The collective effort put forward a vibrant research environment dedicated to pushing the boundaries of knowledge and fostering impactful interdisciplinary collaborations.

Staff members:

Dr Grace Yap Dr Liew Kian Wah Dr Yap Yee Jiun Dr Ho Weang Kee Dr Sim Shin Zhu Dr Gloria Teng

Available PhD projects

• Dr Sim Shin Zhu - Development of model for count data with overdispersion.
• Dr Grace Yap – Development and application of methods to model stochasticity in drying cocoa beans.
• Dr Ho Weang Kee – Development of disease risk prediction model for small dataset
• Dr Liew Kian Wah – Image analyses
• Dr Gloria Teng - Statistical learning and interpretable machine learning
• Dr Yap Yee Jiun - Mathematical modelling in biotechnology

Our research is dedicated to the pedagogical theory and practice of teaching and learning mathematics at the higher education level. We actively develop, implement, and rigorously evaluate innovative pedagogical approaches rooted in current educational research. Our ultimate goal is to enhance the teaching and learning of mathematics, not only within the School of Mathematical Sciences but also in broader educational contexts.

Dr Betsy Lee Dr Chee Wing Loon Dr Grace Yap Dr Liew Kian Wah

• Dr Betsy Lee - Digital Technology in teaching and learning of mathematics.

Algebra, as a fundamental area of pure mathematics, delves into the study of algebraic structures. Our research group specializes in Non-associative Algebra and Loop Theory, exploring the application of non-associative structures in cryptography. Our aim is to enhance the computational complexity of brute force attacks and establish more robust cryptosystems, thereby bolstering security measures.

Dr Chee Wing Loon

• Dr Chee Wing Loon - Application of Non-associative Algebra in Cryptography

This content was last updated on 14 May 2024 . Every effort has been made to ensure that this information is accurate, but changes are likely to occur between the date of publishing and course start date. It is therefore very important to check this website for any updates before you apply.

Browser does not support script.

• Institute of Mathematical Sciences
• [email protected]

Postgraduate Info

Recent Theses Title

M.Sc. (By Research)

Fees and Financial Assistance   The current fees structure is available here.

M.Sc. in Statistics

M.Sc./Ph.D. by Research  ( M.Sc  ,  Ph.D )

 If you required financial assistance, some of the available source of fundings can be found here :   https://aasc.um.edu.my/  

How To Apply 

Applications for postgraduate study may be done online at the website :

  https://www.um.edu.my/how-to- apply-master   (for Master application)

  https://www.um.edu.my/how-to- apply-doctorate   (for Doctorate application)

Postgraduate Handbook

For futher information on postgraduate study, please visit the following link : https://aasc.um.edu.my/  

Last Update: 22/08/2023

• Administrative Staff
• Academic Staff
• Undergraduate
• Postgraduate
• Research Groups
• Workshops / Seminars / Conferences
• Math Colloquium Series
• Online Proceedings
• Announcements
• Community Outreach
• Math Society
• Newsletters
• 50th Anniversary
• Alumni Staff List
• Alumni Bulletin (USM)
• 2016 - 2023
• Alumni Gallery

School of Mathematical Sciences  |  Universiti Sains Malaysia

Postgraduate Degree Programmes

The School of Mathematical Sciences, USM, was established in 1974. The school has currently more than 45 lecturers, grouped into 3 main departments, namely Pure Mathematics, Applied Mathematics and Statistics/Operations Research.

As for postgraduate programmes, the school offers the Doctor of Philosophy (Ph.D) and Master of Science (M.Sc.) by research; M.Sc. (Statistics) and M.Sc. (Mathematics) via mixed mode; and M.Sc. (Teaching of Mathematics) via coursework. The school also actively organizes numerous short courses, such as time series econometrics, statistical data analysis, statistical quality control and linear regression to industrial practitioners, college and university lecturers, and postgraduate students.

INSTITUTIONAL EDUCATION GOAL

USM Institutional Educational Goal (IEG) aims to produce graduates that are able to:

• Demonstrate knowledge and skills, especially in their professional discipline with global mindset using critical thinking and problem-solving approaches.
• Exhibit balanced attributes of altruistic values and attitudes, ethics and professionalism, scientific thinking, arts and humanity toward good citizenry and nation building.
• Demonstrate socio-entrepreneurial skills and mindset, capable of contributing to the wellbeing of society in bridging inequality and enhancing sustainability.
• Communicate effectively and with confidence, encompassing intra-and inter-disciplines, society and technology.
• Demonstrate leadership, teamwork skills and practice lifelong learning, especially in their professional discipline.

Our Programmes

• Doctor of Philosophy
• Master of Science (Mathematics)
• Master of Science (Statistics)
• Master of Science (Teaching of Mathematics)

Master of Science (Teaching of Mathematics) is also offered at USM@KL .

Application for Research Mode, Mixed Mode and Coursework Mode programme is open year-round.

All applications must be submitted via www.admissions.usm.my

• M.Sc. Mathematics
• M.Sc. Statistics
• M.Sc. Teaching of Mathematics
• Ph.D. / M.Sc. Research

Program Education Objectives (PEOs)

• Demonstrate mastery of knowledge, and adept in problem solving, digital skills and numeracy skills in applied mathematics and computation.
• Capable to solve mathematical problems independently and collaboratively by integrating advanced tools and techniques.
• Exhibit exemplary leadership, proficient organisational skill, effective communication and good ethics in professional and personal enhancement.

Program Learning Outcomes (PLOs)

• Evaluate and explain advanced knowledge of applied mathematics.
• Perform suitable techniques and skills using mathematical tools to solve problems.
• Formulate solution to complex problems by using logical reasoning, critical thinking and scientific skills.
• Practise effective and efficient communication in both oral and written form.
• Display effective social skills and teamwork in matters related to assignments and research.
• Practise good ethics and professionalism at all times.
• Adapt with current skills of lifelong learning for continuous self–improvement.
• Integrate innovative approach in organising tasks and research activities.
• Display responsibility and exemplary leadership in individual and group work.
• Solve mathematical problems by constructing appropriate solution using digital tools.
• Construct appropriate mathematical approaches in providing precise and accurate computational solutions.

Course Structure

The students need to obtain grade B or better in 20 units for taught courses from the following list, pass a dissertation course as well as achieve CGPA of 3.0 or higher.

Taught Courses

• MAT514 Mathematical Modelling (4 units)
• MAT515 Computational Mathematics (4 units)
• MAT516 Curve and Surface Methods for CAGD (4 units)
• MAT517 Computational Linear Algebra (4 units)
• MAT518 Numerical Methods for Differential Equation (4 units)

Dissertation

MAT510 Dissertation (20 units)

Duration of the Programme

12 – 24 months for Full-time students

24 – 48 months for Part-time students

• Demonstrate mastery of knowledge, and adept in problem solving, digital skills and numeracy skills in statistics.
• Capable to solve statistical problems independently and collaboratively by integrating advanced tools and techniques.

Program Learning Outcomes   (PLOs)

• Evaluate and explain advanced knowledge of statistics.
• Perform suitable techniques and skills using statistical tools to solve problems.
• Display effective social skills and teamwork in matters related to assignments and research
• Solve statistical problems by constructing appropriate solution using digital tools.
• Construct appropriate statistical approaches in providing precise and accurate computational solutions.
• MST561 Statistical Inference (4 units)
• MST562 Stochastic Processes (4 units)
• MST564 Reliability Statistics (4 units)
• MST565 Linear Models (4 units)
• MST567 Categorical Data Analysis (4 units)

MST566 Dissertation (20 units)

• Demonstrate mastery of knowledge, and adept in problem solving, digital skills and numeracy skills in teaching of mathematics.
• Evaluate and explain advanced knowledge in mathematics.
• Perform suitable techniques and skills using mathematical and statistical tools to solve problems.

Program Structure

The students need to achieve 43/44 units of taught courses from the following list of compulsory and elective courses and must maintain a   CGPA of 3.0 or higher as a fulfillment for the program.

Compulsory Courses (32 units) :

• MGM502 Number Theory (4 units)
• MGM511 Linear Algebra (4 units)
• MGM531 Euclidean Geometry (4 units)
• MGM551 Operations Research (4 units)
• MGM561 Statistical Methods for Research (4 units)
• MGM562 Probability Theory (4 units)
• MGM599 Research Project (8 units)

Elective Courses (Choose 3 courses):

• MGM501 Analysis (4 units)
• MGM503 Combinatorics (4 units)
• MGM563 Statistical Inference (4 units)
• MGM581 Mathematics and Technology (4 units)
• PMC561 Teaching and Learning Theories in Mathematics (3 units)

18 – 24 months for Full-time students

30 – 48 months for Part-time students

Degrees through the research mode requires a minimum of one calendar year of research work for the M.Sc. Degree and two calendar years for Ph.D. Degree.

Research Topics

Students will be going through research under the supervision of an academic staff and a thesis is expected at the end of study. Please see staff’s research interests to choose your topic.

Ph.D. by Research

• 24 – 60 months for Full-time students
• 36 – 90 months for Part-time students

M.Sc. by Research

• 12 – 36 months for Full-time students
• 24 – 72 months for Part-time students

For more information, kindly contact:

Deputy Dean (Research) School of Mathematical Sciences Universiti Sains Malaysia 11800 USM Penang Malaysia Telephone : +60 4 653 3283 Fax : +60 4 657 0910 E-Mail :  [email protected]

Programme Flyer - Master of Science (mathematics) & Doctor of Philosophy (Mathematics)

• Your address
• (123) 456-7890
• [email protected]
• Types of Programmes
• By Clusters
• Undergraduate (Work-based Learning)
• Postgraduate
• Course Interest Test
• Professional Pathways
• Parents' Guide
• Part-time Degree
• English Enhancement Programme
• Entry Qualifications
• Entry via Credit Transfer
• Credit Award via APEL(C)
• How to Apply
• Scholarships and Financial Aid
• Scholarships and Financial Aid (For SPM/O-Level Students)
• 奖助学金 (供高中统考生参考)
• Study Grant for Sibling/Parent Alumni
• Alumni Scholarship for Postgraduate Studies
• Student Journey
• Student Accommodation
• Student Affairs
• Living in Kampar
• Living in Sungai Long
• Student and Alumni Testimonials
• Kampar Campus 360VR
• Sungai Long 360VR
• Live in Malaysia
• Top Reasons Studying in Malaysia
• International Student Services
• Alumni Student Recruitment Programme
• International Students Fee Rebate
• International Student Referral Scheme
• UTAR Open Day
• Education Fairs
• Mental Literacy Activities
• Contact DPP
• Other Contacts

PHD Mathematics

• Management Team
• Technical and Engineering Education
• Science, Mathematics and Creative Multimedia Education
• Educational Foundation and Social Sciences
• Associate Professors
• Senior Lecturers
• Professors (SAF – Skim Akademik Flexible)
• Intake before October 2021
• Intake October 2021 onwards
• UG Academic Resources
• Panduan Calon Temuduga
• Postgraduate Study

Recent Posts

• Jom Sembang Sambung ODL Master TVET
• Master of Education (Mathematics)
• Slot Sepetang Bersama- SARJANA PENDIDIKAN FIZIK ODL
• MASTER OF EDUCATION (TECHNICAL AND VOCATIONAL EDUCATION)
• MASTER OF EDUCATION (PHYSICS) ODL

In This Section

• About Research
• Research Groups
• Major Research
• Area of Research
• Research Opportunities
• Achievement

• POSTGRADUATE
• LABORATORIES
• WEEKLY SEMINAR
• PUTRA BAKTI
• ORGANIZATIONAL STRUCTURE
• LAST UPDATED: May 17, 2024

https://ttsreader.com/ https://www.naturalreaders.com/online/

KKP INSPEM:  https://forms.gle/ LB4C6oGNaQNpuurk9

Ulugh Beg Computer Laboratory

Room / Computer Laboratory Rental Rates Form

INSPEM's PRESS RELEASE 

• TENDER / QUOTATION

FURTHER INFORMATION: https://www.tenderwizard.my/UPM

FURTHER INFORMATION: eJOBS

Institute for Mathematical Research, Universiti Putra Malaysia, 43400 Serdang Selangor

• PROSPECTIVE STUDENTS
• NEW STUDENTS
• CURRENT STUDENTS
• PROGRAMME OF STUDY
• FINANCIAL ASSISTANCE & SCHOLARSHIPS
• PUTRA SARJANA
• OTHER INFORMATION

https://ttsreader.com/ https://www.naturalreaders.com/online/

This field covers studies related to theories and practices in mathematics education for the enhancement of mathematical understanding. Amongst the approaches to be investigated are constructivism, mastery, cooperative, collaborative, contextual learning and problem-based learning. Other pedagogical perspectives include cognitive-guided instruction, the zone of proximal development, values, beliefs and epistemology related to mathematics education, the development of mathematical thinking, the impact of the integration of technology in mathematics teaching, technology design in mathematics teaching, and current issues or policies related to mathematics education. ENTRY REQUIREMENTS   Click  here  for details LIST OF EXPERTS Institute for Mathematical Research / Faculty of Science Prof. Dr. Muhammad Rezal Kamel Ariffin Prof. Madya Dr. Sharifah Kartini Said Husain Institute for Mathematical Research / Faculty of Educational Studies Prof. Dr. Ahmad Fauzi Mohd Ayub Dr. Nurzatulshima Kamarudin Institute for Mathematical Research / Universiti Putra Malaysia Bintulu Campus Prof. Madya Ts. Dr. Wong Tze Jin Dr. Nurul Nadwa Zulkifli Faculty of Educational Studies Dr. Nurzatulshima Kamarudin Dr. Riyan Hidayat

Updated:: 27/03/2023 [aslamiah]

Universiti Putra Malaysia, 43400 UPM Serdang ,Selangor

Contact List by Unit Staff and Services