Doctor of Philosophy in Mathematical Sciences
About
The Doctoral Degree in Mathematical Sciences offers candidates the opportunity to engage in high-quality, innovative research across a wide range of mathematical fields, highlighting the beauty of numbers and algorithms and their practical applications in decision-making and problem-solving.
The program aims to develop students' research skills in areas such as pure mathematics, applied mathematics, and applied statistics. Under the guidance of experienced supervisors, students will gain exposure to key research activities, including conducting comprehensive literature reviews, identifying areas for contribution, and disseminating their findings through journal publications and conference presentations. Graduates will be equipped with advanced mathematical, analytical, and statistical data analysis skills, preparing them to become experts and accomplished researchers in the field.
Key facts
Qualification | Doctoral Degree (PhD) |
Study mode | Full-time, Part-time |
Duration | 3 years |
Intakes | January, July |
Tuition (Local students) | S$ 15,073 |
Tuition (Foreign students) | S$ 15,073 |
Subjects
-
Mathematics
Duration
3 years
Tuition fees
Description | Local students | Foreign students |
---|---|---|
Tuition fee | S$ 15,073 | S$ 15,073 |
Miscellaneous fees | S$ 3,428 | S$ 5,476 |
Total estimated cost of attendance | S$ 18,502 | S$ 20,550 |
Estimated cost per year | S$ 6,167 | S$ 6,850 |
Miscellanous fees explained
Local students
Description | Amount |
---|---|
Enrolment Fee | S$ 212 |
Deposit (refundable) | S$ 212-S$ 303 |
Foreign students
Description | Amount |
---|---|
Enrolment Fee | S$ 212 |
Deposit (refundable) | S$ 212-S$ 303 |
Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Admissions
Intakes
Entry Requirements
Master’s Degree
- A Master's Degree in mathematical sciences or related fields
Other Qualifications
- Any other qualifications will be considered on a case-to-case basis and subject to the approval and acceptance by University Senate.
English Language Requirements
- IELTS 6.0 or equivalent
Statement of Interest (needed for application)
The statement of research interest covers the following structure:
- Working Title
- Nature of the research that interests you and why
- Research objectives
- Literature review
- Research Methodology
- References to anything you have read relevant to this research area
- Gantt Chart of your study
Curriculum
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
- Optimal control computation
- Optimisation
- Simulation
- Statistical modelling
- Statistical quality control
- Time series modelling