UTAR's Finance Mathematics program provides the best training for this purpose. Mathematical finance draws from the disciplines of probability theory, statistics, scientific computing and partial differential equations to provide models and derive relationships between fundamental variables such as asset prices, market movements and interest rates.

These mathematical tools allow us to draw conclusions. For example, the theory of option pricing due to Black, Scholes and Merton allow us to assign a value to an option using arbitrage free arguments. This theory, for which Scholes and Merton were awarded the Nobel Prize in 1997, is an excellent illustration of the interaction between mathematics and financial theory. Other than its application to trading and regulation, the theory of finance has now become increasingly mathematical that problems in finance are now driving certain areas of mathematical research.

Rigorous and Holistic Curriculum?
Students are introduced to fundamental concepts and theorems in financial mathematics such as calculus, probability theory, stochastic process, theory of interest, derivative securities, and portfolio management. Also students are trained with mathematical programming software including MATLAB, SAS, R etc.

Hands-on Research/Project Guidance
Student gain exposure to both academic and industry related project final year research projects supervised by experienced UTAR academic staff.