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Master of Science in Computational Finance

The globalization of markets and competition brings new complexity to business finance. Continual, rapid innovation in financial markets, instruments and institutions, particularly here in the U.S., demands a high level of analytical expertise for success. The Master of Science in Computational Finance is designed to offer students the opportunity 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 MBA degree or students currently enrolled in the MBA program may have up to six MBA 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 coursework of each individual.

Curriculum

The Master of Science in Computational Finance is structured to develop financial management professionals' knowledge and proficiency. Students complete the degree by taking 13 courses; 7 from KGSB and 5 from CTI and 1 elective.

KGSB Courses
:: Financial Accounting (ACC 500)
:: Economics for Decision-Making (ECO 555)
:: Financial Management (FIN 555)
:: Investment analysis (FIN 523)
:: Portfolio Management (FIN 525)
:: Derivatives Pricing & Risk Management (FIN 562)
:: Advanced Derivatives (FIN 662)

CTI Courses
:: Data analysis & Regression (CSC 423)
:: Time Series analysis & Forecasting (CSC 425)
:: Scientific Computing (CSC 431) or Numerical Analysis (CSC 485)
:: Monte Carlo Simulations: Algorithms & Applications (CSC 521)
:: CSC Elective (One 500-level CTI course) and either Master's Project (CSC 696) or Graduate Internship (CSC 697)

Elective Course
Students must also choose one elective from any 500 level course in the School of CTI

See campusconnect.depaul.edu for information about the prerequisites for graduate courses. Please view the course description link for specific details on prerequisites.


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