Master of Science in Applied Mathematics
About
Sunway University’s Master of Science in Applied Mathematics focuses on applying mathematics, statistics, and computational methods to model and solve complex real-world problems. This interdisciplinary program prepares students for careers in industries like manufacturing, healthcare, technology, logistics, finance, data science, and more.
The program covers topics such as optimization, optimal control, machine learning, mathematical modeling, and simulation. Students will gain skills in areas like operations research, statistics, computational methods, and control systems theory.
Graduates will be equipped to tackle challenges in various sectors, using mathematical tools to provide practical solutions. The program is delivered by experienced faculty, including a World Top 2% Scientist specializing in optimization, offering a competitive edge in the field. Sunway’s School of Mathematical Sciences also provides additional seminars and training to enhance students' skills and knowledge.
Key facts
Qualification | Master's Degree |
Qualification Subtype | Master of Science (MSc) |
Coursework / Research | Research |
Study mode | Full-time, Part-time |
Duration | 1 year |
Intakes | January, March, May, July, September |
Tuition (Local students) | $ 9,745 |
Tuition (Foreign students) | $ 9,745 |
Subjects
-
Mathematics
Duration
1 year
Tuition fees
Description | Local students | Foreign students |
---|---|---|
Tuition fee | $ 9,745 | $ 9,745 |
Miscellaneous fees | $ 1,119 | $ 1,629 |
Total estimated cost of attendance | $ 10,864 | $ 11,374 |
Estimated cost per year | $ 10,864 | $ 11,374 |
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
Bachelor’s Degree
- A bachelor’s degree in the field or related fields in mathematics, applied mathematics, engineering, computing, or actuarial science with a minimum CGPA of 2.50 out of 4.00 or equivalent, as accepted by the HEP Senate; or
- A bachelor’s degree in the field or related fields in mathematics, applied mathematics, engineering, computing, or actuarial science with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50, can be accepted subject to rigorous internal assessment.
- Candidates without a qualification in the related fields or working experience in the relevant fields must undergo appropriate prerequisite courses as determined by the institution and meet the minimum CGPA based on (I) and (ii).
- An APEL.A Certificate (APEL T-7) (Recognition of Prior Learning) (Click on this link for further information on APEL.A)
- Any other qualifications will be considered on a case-to-case basis
English Language Requirements
(For International Applicants)
- IELTS 6.0
Application
Kindly email the following documents for an eligibility check:
- Curriculum Vitae
- Bachelor's/Master's degree transcript
- Completion certificate
After passing the eligibility check, the school administrator will brief the student further regarding the application process.
All documents are to be sent to the correspondence address or email stated below. Incomplete documents will not be processed.
Curriculum
Year 1 Modules
- Research Methodology
- Scientific Programming
- Machine Learning
- Predictive Models and Clustering Algorithms
- Graphs and Networks
- Optimization Techniques
- Research Project 1
- Research Project 2
Elective Subjects - Choose 2
- Applied Combinatorics
- Applied and Computational Dynamical Systems
- Control Theory
- Mathematical Modelling in Production Systems
- Numerical Analysis with Applications
- Optimal Control
Areas of Research
- Big Data Analytics
- Mathematical Modelling
- Combinatorics
- Computational Fluid Dynamics
- Graph Theory
- Multivariate Analysis
- Neural Networks
- Numerical Optimization
- Optimal Control Computation
- Optimal Control
- Optimization
- Simulation
- Statistical Modelling
- Statistical Quality Control
- Time Series Modelling