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MSc in Mathematical Sciences
About
The Master of Science in Mathematical Sciences at Sunway University is a research-focused program designed to give students a competitive edge in their field. Students will join research groups and have opportunities to work closely with supervisors through seminars, workshops, and fieldwork, exploring areas like evolutionary computation, big data analytics, computational fluid dynamics, and statistical process control.
The program aims to develop highly employable graduates with strong mathematical and analytical skills, critical thinking, and problem-solving abilities. Students will also gain managerial and entrepreneurial skills, effective communication, and a commitment to lifelong learning. Graduates will be prepared for senior roles in finance, education, consultancy, IT, business, and more, with expertise applicable across multiple industries.
Key facts
| Qualification | Master's Degree |
| Qualification Subtype | Master of Science (MSc) |
| Coursework / Research | Research |
| Study mode | Full-time, Part-time |
| Duration | 2 years |
| Intakes | January, July |
| Tuition (Local students) | $ 8,747 |
| Tuition (Foreign students) | $ 8,747 |
Subjects
-
Mathematics
-
Other Sciences
Duration
2 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | $ 8,747 | $ 8,747 |
| Miscellaneous fees | $ 1,835 | $ 2,855 |
| Total estimated cost of attendance | $ 10,583 | $ 11,603 |
| Estimated cost per year | $ 5,291 | $ 5,801 |
Miscellanous fees explained
Local students
| Description | Amount |
|---|---|
| Enrolment Fee | $ 158 |
| Deposit (refundable) | $ 158-$ 226 |
Foreign students
| Description | Amount |
|---|---|
| Enrolment Fee | $ 158 |
| Deposit (refundable) | $ 158-$ 226 |
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
Entry Requirements
- A Bachelor’s Degree in mathematical sciences or related fields with a minimum CGPA of 2.75 or equivalent; or
- A Bachelor’s Degree in the mathematical sciences or related fields with a minimum CGPA of 2.50 and not meeting CGPA of 2.75, can be accepted subject to rigorous internal assessment; or
- An APEL.A Certificate (APEL T-7) (Recognition of Prior Learning)
- 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 Research Interest (needed for application)
- 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 two modules, namely Research Methodology and Directed Readings, 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 Master of Science in Mathematical Sciences 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 who will mentor and discuss possible research topics with you in the following areas of research interests, but not limited to:
- Applied econometric
- Big data analytics
- Computational fluid dynamics
- Evolutionary computation
- Graph theory and combinatorics
- Neural networks
- Optimal control and numerical optimisation
- Statistical modelling
- Statistical process control
- Time series analysis and forecasting