MS in Computational Finance

Master of Science Winter & Spring 2012-2013

Computational Finance

The Charles H. Kellstadt Graduate School of BusinessThe Master of Science in Computational Finance is a joint degree between the College of Computing and Digital Media (CDM) and the Kellstadt Gra​duate 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. ​​
Degree Requirements
Students in this degree program must meet the following requirements:
  • Complete a minimum of 52 graduate credit hours in addition to any required introductory courses of the designated degree program.
  • Complete all graduate courses and requirements listed in the designated degree program.
  • Earn a grade of B- or better in each introductory course of the designated degree program.
  • Earn a grade of C- or better in all courses beyond the introductory courses of the designated degree program.
  • Maintain a cumulative GPA of 2.5 or higher.
  • Students pursuing a second master's degree must complete a minimum of *52 graduate credit hours beyond their first designated degree program in addition to any required introductory courses in their second designated degree program.
    *53 graduate credit hours required for MS Information Systems.

Students with a GPA of 3.9 or higher will graduate with distinction.

For DePaul's policy on repeat graduate courses and a complete list of academic policies see the DePaul Graduate Handbook in the Course Catalog.

Course Requirements
Introductory Courses
Introductory courses may be waived for any of the following conditions:
  • The student has the appropriate course work to satisfy an Introductory Course.
  • The student has appropriate and verified professional experience to satisfy an Introductory Course.
  • The student passes a Graduate Assessment Examination (GAE) in the Introductory Course area.
CSC 401 Introduction to Programming
CSC 404 Accelerated C++
IT 403 Statistics and Data Analysis
CSC 412 Tools and Techniques for Computational Analysis
CDM Foundation Courses
CSC 423 Data Analysis and Regression
CSC 425 Time Series Analysis and Forecasting
CSC 431 Scientific Computing
or CSC 485 Numerical Analysis
CSC 521 Monte Carlo Algorithms
Kellstadt Foundation Courses
ACC 500 Financial Accounting
ECO 555 Economics for Decision-Making
FIN 555 Financial Management
FIN 523 Investment Analysis
FIN 525 Portfolio Management
FIN 562 Risk Management
FIN 662 Derivatives Valuation
Advanced Courses
CSC 695 Master's Independent Study (1 - 4 Credits)
or CSC 697 Graduate Internship
or CSC 559 Software Engineering for Financial Markets
Major Elective Courses
Students must take 1 500-level course at CDM, Kellstadt, or the Department of Math.