The globalization of markets and competition brings new complexity to business finance. Continual, rapid innovation in financial markets, instruments and institutions, demands a high level of analytical expertise for success. The Master of Science in Computational Finance is designed for students seeking to acquire the ability to understand existing financial models in a quantitative and mathematical way. The Computational Finance graduate will be able to apply these quantitative tools to solve complex problems in the areas of portfolio management, risk management, and financial engineering.
Individuals with an M.B.A. degree or students currently enrolled in the M.B.A. program may have up to six of their M.B.A. courses count toward the requirements of the Master of Science in Computational Finance degree. The exact number of courses that can be double-counted in this manner depends upon the specific content and age of coursework.
CURRICULUM
The Master of Science in Computational Finance is a joint degree with the College of Computing and Digital Media, CDM. The degree is structured to develop financial management knowledge and proficiency. The GMAT test is required for admission for students admitted via the College of Commerce. Students admitted via the College of Computing and Digital Media may submit either GMAT or GRE test results. The TOEFL test is required for international students.
Prerequisite Phase
In the prerequisite phase students must complete a three course calculus sequence covering infinitesimal calculus, derivatives, integrals, Taylor series and simple differential equations. Appropriate course sequences offered by DePaul include: MAT150, 151 or MAT160, 161 or MAT170, 171
Students must also complete the following two C++ courses or their equivalents:
CSC 309: Object Oriented Programming in C++ (or equivalent)
CSC 393: Data structures in C++ (prerequisite: CSC309)
Students complete the degree by taking 13 required courses; 7 from KGSB and 5 from CDM and 1 elective.
KGSB Courses
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FINANCIAL ACCOUNTING (ACC 500)
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ECONOMICS FOR DECISION-MAKING (ECO 555)
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FINANCIAL MANAGEMENT (FIN 555)
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INVESTMENT ANALYSIS (FIN 523)
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PORTFOLIO MANAGEMENT (FIN 525)
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RISK MANAGEMENT (FIN 562)
- DERIVATIVES VALUATION (FIN 662)
CDM Courses
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DATA ANALYSIS & REGRESSION (CSC 423)
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TIME SERIES ANALYSIS & FORECASTING (CSC 425)
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SCIENTIFIC COMPUTING (CSC 431) or NUMERICAL ANALYSIS (CSC 485)
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MONTE CARLO ALGORITHMS (CSC 521)
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CDM ELECTIVE
And either:
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MASTER’S RESEARCH (CSC 696)
or
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GRADUATE INTERNSHIP (CSC 697)
M.S.C.F. DEGREE REQUIREMENTS
1. Satisfactory completion of the college residency requirement.
2. Satisfactory completion of the 13 required courses.
3. Satisfactory completion of 2 CDM elective courses.
4. All courses for credit toward the degree must be completed within six calendar years after the candidate’s first term of enrollment in the Kellstadt Graduate School of Business. After a lapse of six years a course is expired. An expired course is not acceptable for the purpose of satisfaction of degree requirements and is not applicable to the degree without the written approval of the director of the program or the Kellstadt Graduate School of Business.
Specialized Masters Programs 
