BSc Financial Mathematics
Course overview
Qualification | Bachelor's Degree |
Study mode | Full-time, Part-time |
Duration | 3 years |
Intakes | February, July |
Tuition (Local students) | $ 17,819 |
Tuition (Foreign students) | $ 70,130 |
About
-
Admissions
Intakes
Fees
Tuition
- $ 17,819
- Local students
- $ 70,130
- Foreign students
Estimated cost as reported by the Institution.
Application
- Data not available
- Local students
- Data not available
- Foreign students
Student Visa
- Data not available
- Foreign students
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.
Entry Requirements
- IELTS: Overall band score 6.5 (all no below than 6.0)
- GCE/STPM/HKALE (A-levels - best of three): 5
- HKDSE: 15
- IB: 24
- Ontario Gr 12 (best of 6): 60
- ATAR (including WACE/SACE/HCE/VCE): 70
- WAUFP (CPS): 53
- India/Pakistan: 65%
- Sri Lanka: 6
Curriculum
- Introductory Economics
- Statistical Data Analysis
- Statistical Probability
- Linear Algebra 1 OR Accelerated Mathematics 1
- Scientific Computing OR Fundamentals of Programming
- Introduction to Finance Principles
- Science Communications
- Regression and non-Parametric Inference
- Mathematical Modelling
- Calculus 1 OR Accelerated Mathematics 2
- Operations Research
- Calculus 2
- Mathematical Statistics
- Linear Algebra 2
- Practical Mathematical Financial Modelling
- Theory of Interest
- Investment Science 1
- Corporate Finance OR Numerical Optimisation
- Mathematical Computing
- Investment Science 2
- Industrial Project
- Portfolio Management
OR
International Finance
OR
Introduction to Derivative Securities
OR
Applied Statistics - Electives