Master of Science Computational Finance

The MS 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 can also efficiently and effectively communicate financial concepts using adequate business language. The curriculum offers a unique emphasis on numerical algorithms and analytical techniques applied specifically to risk analysis, time series analysis, and derivative pricing.

Our faculty members from CDM and KGSB bring to the classroom a unique blend of industry expertise and academic excellence. Because of their professional experience, they bring real-world pragmatism to their courses. At the same time, they encourage creativity and the free exchange of ideas, give students immediate and ongoing feedback on their progress, and provide the one-on-one mentoring so important to a student’s professional development.

94% of reporting 2016 School of Computing master’s graduates were employed, continuing education, or not seeking employment within six months of graduation

$80,000 average reported salary across 2016 School of Computing master’s graduates

KGSB Faculty

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Interdisciplinary Curriculum

This program combines up to ten courses from CDM with seven courses from KGSB (the same courses are required for an MBA in finance). Students will learn how to implement financial concepts into computer programs, model data, simulate financial systems, price different kinds of derivative securities, and build a trading engine. These concepts are very important in today’s economy.

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Online Learning

All CDM courses and several KGSB courses for this degree can be completed entirely online. One hundred percent of the CDM course lectures—from audio and video to whiteboard writing and supplemental materials—are captured and available online.

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Research Colloquium

The School of Computing hosts weekly talks on creative and breakthrough research by faculty, students, and industry professionals. The Colloquium exposes students to creative and scholarly research at DePaul and elsewhere, and engages them in the thought process of identifying and solving challenging research problems.

Application Deadlines

Enrollment QuarterDomestic Student DeadlineInternational Student Deadline
FallAugust 1June 15
WinterDecember 1October 15
SpringMarch 1January 15
SummerMay 1April 15

Admission Process

The graduate application process involves completing an online application, sending in your transcripts and submitting any supplemental material (e.g., letters of recommendation, certifications, etc.). To learn more about your program specific requirements, visit our Graduate Admission page.

Admission Requirements

Contact Graduate Admission

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