About The Programme

Embark in high quality and innovative research in the broad field of mathematical sciences, that demonstrates the beauty of numbers and algorithms, and their usefulness in decision-making and problem-solving.

This research programme aims to develop your research skills in one of the many exciting areas of mathematics, ranging from pure mathematics, applied mathematics to applied statistics. Working closely with your supervisors, you will be exposed to the different aspects of research activities, including developing a comprehensive literature review, identifying areas of contribution, and communicating research outputs via journal publications and conference presentations.

The PhD in Mathematical Sciences will equip you with strong mathematical, analytical and statistical data analysis skills, to become experts and well-qualified researchers.

Intakes

January, March, June & September

Duration

3 Years Full-Time, 4 Years Part-Time

Career Prospects

Doctoral graduates may enter careers in academia, consulting or research, as well as undertake specialist roles in areas related to mathematics and statistics in various organizations, such as universities, research institutes, and industrial R&D laboratories.

Modules

The programme consists of core modules and followed by a research thesis.

Core Modules

Candidates are required to complete three modules, namely Research Methodology, Academic Writing, and Research Proposal, in addition to the Thesis component. By undergoing these modules, candidates will develop the necessary skills and knowledge to conduct research successfully towards the completion of the thesis.

Thesis

The PhD is awarded based on the successful completion of a thesis. The thesis should demonstrate proficiency, criticality and mastery in the subject or chosen area of research.

Areas of Research

The School has a dedicated team of academicians and in-house actuaries who will mentor and discuss possible research topics with you in the following areas of research interests, but not limited to:

• Applications of statistics in finance and insurance

• Applied probability

• Applied stochastic processes

• Big data analytics

• Combinatorics

• Computational fluid dynamics

• Credit risk modelling

• Evolutionary computation

• Graph theory

• Linear and multilinear algebra

• Longevity studies

• Mathematics education

• Mathematical modelling

• Multivariate analysis

• Medical statistics

• Neural networks

• Numerical optimisation

• Optimal control computation

• Simulation

• Statistical modelling

• Statistical quality control

• Time series modelling

• Optimal Control

• Optimization

Entry Requirement

Master’s Degree

• A Master Degree in Mathematics, Statistics, Actuarial Science, Operations Research, Quantitative Sciences, or other related fields.

Other Qualifications

• Any other qualifications will be considered on a case-to case basis.

English Language Requirements:

• IELTS 6.0;

• TOEFL 550 (paper-based), 213 (computer-based), or 80 (internet-based);

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