MSc in Mathematical and Computational Finance

University of Oxford

About the course: The course provides you with a strong mathematical background with the skills necessary to apply your expertise to the solution of problems. You will develop skills to formulate mathematical problems that are based on the needs of the financial industry. You will carry out relevant mathematical and financial analysis, develop and implement appropriate tools to present and interpret model results. The course lays the foundation for further research in academia or for a career as a quantitative analyst in a financial or other institution. You will take four introductory courses in the first week. The introductory courses cover partial differential equations, probability and statistics, financial markets and instruments, and Python. The first term focuses on compulsory core material, offering 64 hours of lectures and 24 hours of classes, plus one compulsory computing course offering 16 hours of lectures. Assessment: The examination will consist of the following elements. Three written examinations assessing the core material in the first and second terms One written examination assessing elective material in the second term Two take-home projects assessing one of the core courses in the first and one of the core courses in the second term Two practical examinations assessing two courses in financial computing with C++ One dissertation in the third term. Graduate destinations: MSc graduates have been recruited by prominent investment banks and hedge funds. Many past students have also progressed to PhD-level studies at leading universities in Europe and elsewhere.

Mathematics