Bachelor of Science in Mathematics and Applied Mathematics (Honours)
- Key Information
Course Name:
Bachelor of Science in Mathematics and Applied Mathematics (Honours)
University Name:
Xiamen University Malaysia (XMUM)
Campus:
Selangor
Qualification:
Bachelor
Duration:
3 years
Intake:
February, April, September
IELTS:
Not Required
Study Mode:
On-campus
Study Type:
Full time study
Program Mode:
Coursework
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 26,000 |
| 2nd Year | MYR 26,000 |
| 3rd Year | MYR 26,000 |
Other Fees
| Description | Fee |
|---|---|
| Application Fee | MYR 100 |
| International Student Fee (Including visa application & renewal) | MYR 2,500 |
| Registration Fee | MYR 200 |
| Security Deposit (Refundable) | MYR 1,000 |
Campus
Selangor
Qualification
Bachelor
Duration
3 years
Intake
February, April, September
IELTS
Not Required
Study Mode
On-campus
Study Type
Full time study
Program Mode
Coursework
Course Fee for International Students
Yearly Tuition Fees
| Year | Fee |
|---|---|
| 1st Year | MYR 26,000 |
| 2nd Year | MYR 26,000 |
| 3rd Year | MYR 26,000 |
Other Fees
| Description | Fee |
|---|---|
| Application Fee | MYR 100 |
| International Student Fee (Including visa application & renewal) | MYR 2,500 |
| Registration Fee | MYR 200 |
| Security Deposit (Refundable) | MYR 1,000 |
Course Overview
The Bachelor of Science in Mathematics and Applied Mathematics at Xiamen University Malaysia (XMUM) operates as a sophisticated pedagogical framework designed to ground scholars in the epistemological foundations and transformative methodologies of systemic quantitative governance and logical stewardship. This program facilitates an intellectual transition to executive-level analytical proficiency by synthesizing over a century of academic prestige—notably the alma mater of world-renowned mathematician Chen Jingrun—with applied mathematical praxis, ensuring that candidates can navigate the multifaceted complexities of modern science and industry. To address the high-fidelity demands of the global research and technology sectors, the curriculum is strategically engineered to bridge the technical divide between pure abstraction and practical problem-solving. A pivotal feature of the program at XMUM is its focus on research-led instruction and global collaboration, leveraging the School of Mathematical Sciences’ position in the top 0.5% of the Essential Science Indicators (ESI). By integrating technical expertise with a focus on heuristic critical analysis, the curriculum benefits from the school’s role as the National Tian Yuan Mathematics Center, fostering a sophisticated command of complex modeling and numerical analysis. Through intensive study of core mathematical disciplines supported by a faculty where 97% hold doctoral degrees, the program emphasizes the development of the “hard skills” required for high-level data science, cryptography, and quantitative finance. The pedagogy, bolstered by the school’s extensive publication record in SCI journals, ensures that graduates possess the analytical fluency necessary to thrive in an increasingly data-driven world. Ultimately, the program serves as a critical mechanism for intellectual and professional advancement, establishing the foundational competencies and rigorous mindset necessary for graduates to excel as mathematical architects and contribute meaningfully to the evolution of the global scientific landscape.
Curriculum
Programme Structure
| Category | Themes | Key Modules |
|---|---|---|
| Major Core | Mathematical Foundations & Analysis | Calculus I & II, Mathematical Analysis I & II, Linear Algebra I & II, Ordinary Differential Equations, Complex Analysis I, and Algebra and Analytic Geometry. |
| Major Core | Structures & Computation | Abstract Algebra I, Discrete Mathematics, Probability Theory & Statistics, and Python Programming Language. |
| Major Electives | Advanced Pure & Applied Math | Real Analysis, General Topology, Partial Differential Equations, Analytic Number Theory, Differential Geometry, Numerical Analysis, and Combinatorics. |
| Major Electives | Finance, Risk & Data Science | Financial Mathematics I, II, & III, Stochastic Processes, Regression Analysis, Time Series, Data Structure, Design and Analysis of Algorithms, and Risk Management. |
| Major Electives | Theoretical Physics & Economics | Quantum Mechanics, Electromagnetism, Modern Physics, Theoretical Mechanics, Microeconomics, and Macroeconomics. |
| Final Stage | Professional Application | Final Year Project and Industrial Training. |
Field of Research
N/A