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 objective of this program is to offer students the opportunity to acquire both the ability to understand existing financial models in a quantitative and mathematical way, and the ability to implement these models in the form of computer programs. This program differs from a regular MS in Finance because of a stronger mathematical component and the addition of an intensive computational component. The program aims to produce graduates with the required qualifications to become "quantitative financial analysts". The Computational Finance graduates will be able to apply these quantitative tools to solve complex problems in the areas of portfolio management, risk management, and financial engineering.
Learn more about
admission to this program.
Online Learning Options
Some courses in this degree are available for review and playback via the CDM
Course Online playback system (COL)
. If a course is COL-enabled, any student registered in the course has access to the course playback. Students are strongly encouraged to utilize the COL resource wherever available. Some courses are offered online. To complete this degree students may take any combination of courses offered online and on campus. For more information on online learning at CDM visit the
Online Learning page
. Information on online delivery of Kellstadt courses can be found on the
Kellstadt Online Learning page