Catalog Version

Winter/Spring/Summer 
2013- 2014

Catalog update:
October 15, 2013

Access archived catalogs in the Catalog Archive section.​​​​​

Students are required to follow the Academic Handbook and Code of Student Responsibility

The globalization of markets and competition brings new complexity to business finance.  Continual, rapid innovation in financial markets, instruments and institutions, demands a high level of analytical expertise for success. The Master of Science in Computational Finance is designed for students seeking to acquire the ability to understand existing financial models in a quantitative and mathematical way.  The Computational Finance graduate will be able to apply these quantitative tools to solve complex problems in the areas of portfolio management, risk management, and financial engineering.
 
Individuals with an M.B.A. degree or students currently enrolled in the M.B.A. program may have up to six of their M.B.A. courses count toward the requirements of the Master of Science in Computational Finance degree.  The exact number of courses that can be double-counted in this manner depends upon the specific content and age of coursework.