Master of Financial Mathematics

Course Details

This program is unique in its in-depth analysis of financial modelling issues. This is achieved through a combination of advanced mathematical techniques of stochastic analysis, numerical methods and sophisticated statistical techniques. The program is appropriate for students who wish to develop their knowledge and skills in mathematical, statistical and computational methods applied to modern finance. It also provides students with a route to high-quality careers in the financial industry. The program offers intensive, high-level training in principles of financial modelling and its mathematical foundations, statistical techniques, risk assessment, and computational techniques of financial mathematics.

Qualification: Master Degree (By Coursework)

Course structure: The program consists of 72 units of credit (UOC) comprised of 36 UOC of compulsory core coursework subjects, 24 UOC of electives chosen from the School of Mathematics and Statistics and/or outside the School of Mathematics and Statistics, and a compulsory supervised research project worth 12 UOC.