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The MS in Computational Finance is a joint degree between CDM and the Kellstadt Graduate School of Business, offering students the skills to approach financial models through a quantitative framework. The program prepares students for careers in the field of quantitative financial analysis in areas including portfolio management, risk management, and financial engineering.
|Program Requirements||Quarter Hours|
|Total hours required||52-68|
Students will be able to:
- Analyze and simulate time series data using a stochastic process.
- Implement a portfolio optimization algorithm based on Modern Portfolio Theory.
- Demonstrate an in-depth knowledge of:
- Bond Valuation Models.
- Stock Valuation Models.
- Options Valuation Models.
No Introductory course may be substituted for any other course at any level.
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.
- If an exam is available, the student passes a Graduate Assessment Examination (GAE) in the Introductory Course area.
|CSC 401||INTRODUCTION TO PROGRAMMING||4|
|CSC 404||ACCELERATED C++||4|
|IT 403||STATISTICS AND DATA ANALYSIS||4|
|CSC 412||TOOLS AND TECHNIQUES FOR COMPUTATIONAL ANALYSIS||4|
CDM Foundation Courses
|DSC 423||DATA ANALYSIS AND REGRESSION (FORMERLY CSC 423)||4|
|DSC 425||TIME SERIES ANALYSIS AND FORECASTING (FORMERLY CSC 425)||4|
|CSC 431||SCIENTIFIC COMPUTING||4|
|or MAT 485||NUMERICAL ANALYSIS I|
|CSC 521||MONTE CARLO ALGORITHMS||4|
Kellstadt Foundation Courses
|ACC 500||FINANCIAL ACCOUNTING||4|
|ECO 555||ECONOMICS FOR DECISION-MAKING||4|
|FIN 555||FINANCIAL MANAGEMENT||4|
|FIN 523||INVESTMENT ANALYSIS||4|
|FIN 525||PORTFOLIO MANAGEMENT||4|
|FIN 562||RISK MANAGEMENT||4|
|FIN 662||DERIVATIVES VALUATION||4|
Choose one of the following:
|CSC 695||MASTER'S RESEARCH||1-4|
|CSC 697||GRADUATE INTERNSHIP||1-4|
|CSC 559||SOFTWARE ENGINEERING FOR FINANCIAL MARKETS||4|
Major Elective Courses
Students must take one 500-level course in CDM, Kellstadt, or the Department of Mathematics.
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 (or more) graduate degree may not double count or retake any course that applied toward the completion of a prior graduate degree. If a required course in the second degree was already completed and applied toward a previous degree, the student must meet with a faculty advisor to discuss a new course to be completed and substituted in the new degree. This rule also applies to cross-listed courses, which are considered to be the same course but offered under different subjects.
- 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.
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.