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M.A. in Mathematical Finance
The Department of Mathematics jointly with Department of Statistics at Columbia University offers a track of its Master of Arts in Mathematics with specialization in the Mathematics of Finance. The program draws on the diverse strengths of Columbia in stochastic processes, numerical methods, and Finance.
The Program
The instructional component of the program consists of ten courses, which can be taken over two semesters of full-time course work. Seven of these courses are required. Though the number of mandatory courses is seven, the seventh mandatory course, Linear Regression, may be replaced with an approved course with substantial mathematical and statistical content. The remaining three elective courses are selected from a broad menu of approved courses. All required courses are offered after 4:00 PM to allow part-time students who work during the day access.
The program is oriented towards strong students with degrees in the Mathematical, Physical, and Engineering Sciences who wish to develop strong analytic skill in preparation for a career in finance. Graduates of the program have been aggressively recruited by firms such as Goldman Sachs, Morgan Stanley, Lehman Brothers, Bear Stearns and McKinsey & Co.
The program includes training in:
- Probability and Random Processes
- Statistics
- Partial Differential Equations
- Modern Financial Markets and their Basic Instruments
- Valuation and Hedging Techniques
- Methods of Computation and Simulation
Program Director: Professor Mikhail Smirnov
Website: M.S. in Mathematical Finance