MS in Computational Finance

Master of Science Fall 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 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. ​​
Degree Requirements
Students in this degree program must meet the following requirements:
  • complete a minimum of 52 graduate credit hours (generally 13 courses) beyond the Prerequisite Phase
  • earn a grade of B- or better in each Prerequisite Phase course
  • earn a grade of C- or better in all graduate courses beyond the Prerequisite Phase
  • maintain a graduate level GPA of 2.50 or higher while pursuing their degree
  • achieve a graduate GPA of 2.50 or higher at the completion of all other requirements
  • students pursuing their second master's degree must complete 52 graduate credit hours (generally 13 courses) beyond their first master's degree.

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 Legend
Course Requirements
Prerequisite Phase
The goal of the prerequisite phase is to give students the background necessary for starting the graduate program. These prerequisite phase requirements can be fulfilled in one of three ways:
  • The student takes the course and earns a grade of B- or higher
  • The student takes a Graduate Assessment Exam (GAE) to test out of the course
  • The faculty advisor waives the course because of equivalent academic background or work experience.

All students are blocked from enrolling in Graduate Phase courses prior to completing their prerequisites. Students must submit an online Change of Status request (through myCDM) when the Prerequisite Phase is completed to inform the Student Services offices that the block can be removed.

1 of the following two course Calculus sequences:
  • Calculus
    MAT 150
    MAT 151
  • Calculus for Mathematics and Science Majors
    MAT 160
    MAT 161
  • Calculus with Scientific Applications
    MAT 170
    MAT 171
CSC 243
CSC 309
CSC 202
CDM Foundation Courses
CSC 423
CSC 425
CSC 431
or CSC 485
CSC 521
Kellstadt Foundation Courses
ACC 500
ECO 555
FIN 555
FIN 523
FIN 525
FIN 562
FIN 662
Advanced Phase
CSC 695
or CSC 697
or CSC 559
Major electives
Students must take 1 graduate CDM 500-Level course.