Catalog Version

Winter/Spring/Summer 2014-2015
Catalog update:
October 17, 2014

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

The Master of Science in Computational Finance is a joint degree between the College of Computing and Digital Media (CDM) and the Kellstadt Graduate School of Business (KGSB). 
The program addresses a need in the financial industry for people with exceptional programming skills who also can efficiently and effectively communicate financial concepts using adequate business language.   The program offers a unique emphasis on numerical algorithms and analytical techniques applied, specifically risk analysis, time series analysis and derivative pricing.  This makes this program appealing to professionals interested in software development for the financial industry.  
Students will graduate prepared for careers in the field of quantitative financial analysis, specifically in the areas of portfolio management, risk management and financial engineering. 
Students who have earned or are currently pursuing an MBA may have up to six of their MBA courses count toward the requirements of the MS in Computational Finance degree depending upon the specific content of the coursework and how recently it was completed. 
Introductory Requirements 16 hours
​Degree Requirements ​52 hours
  Total hours required   52-68 hours