UNIVERSITI TUNKU ABDUL RAHMAN

Doctor of Philosophy (Mathematics)

(N/0540/8/0001)(07/29)(MQA/PSA15742)

Doctor of Philosophy (Mathematics)

Why Pursue a Doctor of Philosophy (Mathematics)?

The Doctor of Philosophy (Mathematics) is the highest academic qualification in the field, designed for individuals who wish to pursue advanced, original research that contributes to mathematical knowledge. It develops deep analytical thinking and independent research capability.

Those who pursue this doctoral degree engage with complex and unsolved problems across science, engineering, finance, artificial intelligence, and computational systems, making the programme both academically significant and industrially relevant.

By pursuing a PhD in Mathematics, candidates develop intellectual leadership and contribute to both theoretical advancement and real-world problem-solving.

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Advancement of Knowledge and Research Excellence

A PhD in Mathematics focuses on the creation of new knowledge through systematic investigation and rigorous reasoning. Candidates are expected to produce original research contributions that extend existing mathematical theories and methodologies.

This process builds research discipline, critical thinking, and the ability to solve complex and abstract problems.

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Interdisciplinary Applications of Mathematics

The programme supports applications of mathematics in diverse areas, including scientific modelling, engineering analysis, financial mathematics, ICT, computational science, and data analytics.

These applications reflect the growing importance of mathematical and quantitative approaches in addressing complex problems across science, technology, and industry.

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Who Should Enrol

  • Individuals with a background in mathematics or quantitative disciplines
  • Those interested in advanced mathematical research and theory development
  • Candidates aiming for careers in academia, research, or analytical industries
  • Professionals seeking to strengthen research and modelling capabilities
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Strong Demand for Advanced Quantitative Expertise

Those who pursue a PhD in Mathematics gain expertise relevant to data science, financial analysis, artificial intelligence, risk management, and engineering systems.

The training enables interpretation of complex systems, development of mathematical models, and delivery of evidence-based solutions.

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Career Pathways

Graduates of a Doctor of Philosophy (Mathematics) possess advanced expertise in mathematical reasoning, analytical modelling, and quantitative problem-solving, enabling them to contribute across academia, industry, and consultancy sectors.

  • Academic and Research positions in universities and research institutions
  • Data Scientist and Data Analyst roles
  • Quantitative Analyst roles in banking and finance
  • Business Analyst roles in decision-making and optimisation
  • Mathematical Consultant roles providing modelling and analytical solutions
  • Actuarial and Risk Analysis roles
  • Operations Research and Optimisation roles
  • Artificial Intelligence and Computational Modelling roles
  • Postdoctoral research opportunities
Programme Information
Award Doctor of Philosophy (Mathematics)
(N/0540/8/0001)(07/29)(MQA/PSA15742)
Research Area NEC Narrowed Field
  • 054 Mathematics and Statistics
Detail Field
  • Applied Mathematics, Data Analysis, Operations Research, Financial Mathematics, Applied Statistics
Duration Full Time: Normal 3 years – Max 6 years
Part Time: Normal 4 years – Max 8 years
Intakes Open throughout the year
Estimated Total Programme Fees Malaysian (Full Time): RM16,439
Malaysian (Part Time): RM17,972
International (Full Time): RM35,806
International (Part Time): RM38,646
All fees shown above are for normal candidature.
For international students, the fees do not include:
- Student visa application fees
- 6% Sales and Service Tax (SST)
Programme Structure Research Methods in Mathematics
Directed Readings in Mathematics
Thesis
Head of Programme Assoc. Prof. Gs. Ts. Dr. Lam Weng Siew
lamws@utar.edu.my
Medium of Instruction English
Campus Kampar, Perak
Faculty Faculty of Science (FSc)