+60142521561
BSc in Applied Mathematics
Key facts
| Qualification | Bachelor's Degree |
| Study mode | Full-time |
| Duration | 4 years |
| Intakes | January, May, September |
| Tuition (Local students) | Data not available |
| Tuition (Foreign students) | Data not available |
Subjects
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Mathematics
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Duration
4 years
Tuition fees
| Description | Local students | Foreign students |
|---|---|---|
| Tuition fee | Data not available | Data not available |
| Miscellaneous fees | Data not available | Data not available |
| Total estimated cost of attendance | Data not available | Data not available |
| Estimated cost per year | Data not available | Data not available |
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
English Language Requirements:
- TOFEL (iBT): 90 (writing 25, speaking 25);
- IELTS: 7.0
- MELAB: 85 (80 per section, for co-op programs: speaking 3)
- CAEL: 70 (60 per band, writing 70, speaking 70)
- PTE: 63 (writing 65, speaking 65)
- EFAS: 75% overall in 400 level with 75% in each of academic, oral, and writing.
Curriculum
- Calculus 4
- Intro to Computational Mathematics
- Introduction to Differential Equations
- Introduction to Differential Equations (Advanced Level)
- Introduction to Theoretical Mechanics
- Environmental Informatics
- Applied Real Analysis
- Applied Complex Analysis
- Computational Methods for DEs
- Differential Equations for Business and Economics
- Ordinary Differential Equations 2
- Partial Differential Equations 1
- Continuum Mechanics
- Quantum Theory 1
- Computational Modelling of Cellular Systems
- Fourier to Wavelets
- Computational Methods for PDEs
- Applications of Computational DEs
- Intro to Dynamical Systems
- Partial Differential Equations 2
- Control Theory
- Calculus of Variations
- Fluid Mechanics
- Quantum Theory 2
- Intro to General Relativity
- Reading Course