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Master of Mathematics
About
The Master of Mathematics program explores applied mathematics, statistics, and financial modeling to address real-world mathematical challenges. The curriculum is designed to meet the evolving demands of industries such as education, manufacturing, banking, insurance, finance, and investment. This program aims to develop highly skilled graduates proficient in research, process optimization, economics, finance, investment, statistics, teaching, and consulting.
Upon completion, graduates will have an in-depth understanding of research methodologies and statistical techniques, enabling them to analyze complex datasets, formulate mathematical relationships, and derive meaningful insights. Graduates will also gain expertise in advanced areas such as education, data science, data mining, quality control, risk analysis, portfolio management, cryptology, investment strategies, and financial planning.
Key facts
| Qualification | Master's Degree |
| Study mode | Full-time, Part-time |
| Duration | 18 months |
| Intakes | January, May |
| Tuition (Local students) | $ 0 |
| Tuition (Foreign students) | $ 5,277 |
Subjects
-
Mathematics
Duration
18 months
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | $ 0 | $ 5,277 |
| Miscellaneous fees | Data not available | $ 2,909 |
| Total estimated cost of attendance | $ 0 | $ 8,187 |
| Estimated cost per year | $ 0 | $ 5,458 |
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
Any of these:
- Bachelor’s Degree (related fields): CGPA 2.75 and above or equivalent (approved by the Senate).
- Bachelor’s Degree (related fields): CGPA 2.00 – 2.74 or equivalent (approved by the Senate, subject to rigorous assessment).
- No Bachelor’s Degree in related fields: Relevant work experience and prerequisite courses determined by UTAR, meeting CGPA requirements above.
English Language Requirement:
- IELTS Academic - 5.0
- TOEFL (iBT) - 40
- Cambridge English Qualification - High B1 level (CEFR)
- Pearson Test of English (PTE) - 47
- MUET - BAND 3.5
Curriculum
Courses:
- STOCHASTIC MODELLING
- STATISTICAL INFERENCE
- RESEARCH METHODS IN MATHEMATICAL SCIENCES
- LINEAR MODELS
- MODERN NUMERICAL METHODS
- DATA VISUALISATION TECHNIQUES
- ADVANCED MATRIX ALGEBRA
- PROJECT
- ELECTIVES
Electives - Choose 3
- PREDICTIVE MODELLING
- PROGRAMMING FOR DATA ANALYTICS
- DESIGN OF EXPERIMENTS AND QUALITY ENGINEERING
- SAMPLING TECHNIQUES
- APPLIED STOCHASTIC PROCESSES
- GENERALIZED LINEAR MODELS
- APPLIED MULTIVARIATE ANALYSIS