Offered by the Department of Mathematics
The programme that leads to the BSc Honours Degree with Academic Orientation (Mathematical Finance) is designed to provide theoretical, practical and professional knowledge in the field of finance and actuarial sciences. The programme aims to equip students with the skills needed for doing comprehensive quantitative analysis of financial products and markets.
During the final year, students will have the opportunity to apply academic knowledge and skills in diverse state and corporate sector settings via Internship Program. Graduate careers include banking, insurance, actuaries, and more.
Intended Learning Outcomes
At the end of the 04 years (SLQF Level 6) BSc Honours in Mathematical Finance (Research Orientation) holders should be able to:
- demonstrate thorough and systematic understanding of advanced concepts in Mathematical Finance.
- demonstrate practical skills in Mathematical Finance and related disciplines, through the use of established techniques and development of new techniques.
- develop hypotheses, construct and sustain arguments in the context of research and investigation.
- eloquently communicate & disseminate knowledge, information and ideas to finance / actuarial specialist and non- specialist audiences.
- practice professionalism and uphold ethical standards.
- function independently as well as interdependently.
- demonstrate leadership skills.
- express emotional and intellectual maturity in a global setting.
- prepared to carry out independent and further learning.
Coordinator
Entry Requirements
To be eligible for this programme, a minimum GPA of 3.00 for FM core courses and MS core courses (offered by Department of Mathematics) taken together is required.
Selection will be based upon the total weighted mark obtained for FM and MS courses taken together.
Course Modules
(L – No. of Lecture hours, P – No. of Practical hours, O – Optional, X – Compulsory)
Level 3
Semester | Course Code | Title | No. of Credits | No. of Hours |
|
Semester I | AM 3081 | Applied Analysis | 3 | 45 L | X |
Semester I | FM 3051 | Financial Mathematics III | 3 | 30 L 30 P | X |
Semester I | FM 3052 | Quantitative Finance | 3 | 30 L 30 P | X |
Semester I | FM 3057 | Financial Statement Analysis | 3 | 30 L 30 P | X |
Semester I | FM 3058 | Insurance for Financial Services | 2 | 30 L | X |
Semester I | FM 3059 | Microeconomics for Financial Analytics | 3 | 45 L | X |
Semester II | FM 3053 | Actuarial Mathematics II | 3 | 30 L 30 P | X |
Semester II | FM 3054 | Portfolio Optimization | 3 | 30 L 30 P | X |
Semester II | FM 3055 | Game Theory and Decision Theory | 3 | 30 L 30 P | X |
Semester II | FM 3056
| Financial Simulation and Artificial Intelligence Models | 4 | 120 P | X |
Semester II | EC 3031 | Community Service | 4* | 120 P | X |
Level 4
Semester | Course Code | Title | No. of Credits | No. of Hours |
|
Semester I | FM 4051 | Financial Analytics Research Project | 8 | 240 P | X |
Semester I | FM 4053 | Actuarial Mathematics III | 3 | 45 L | X |
Semester I | FM 4054 | Agent-based Modeling for Financial Markets | 3 | 90 P | X |
Semester I | FM 4055 | Macroeconomics for Financial Analytics | 3 | 45 L | X |
Semester I | FM 4056 | Machine Learning Models in Finance | 4 | 120 P | X |
Semester I | FM 4057 | Actuarial Mathematics IV | 3 | 30 L 30 P | X |
Semester II | FM 4052 | Non- Linear Programming | 3 | 45 L | X |
Semester II |
FM 4058
| Professional Practices and Consultancy in Actuary and Finance | 4 | 120 P | X |