Quantitative Finance Concentration
Foundation Work
The foundation courses below are required to ensure students have the appropriate educational background for this program. If you have earned an undergraduate business degree or an MBA from an AACSB or EQUIS accredited institution you automatically waive out of all foundation courses and can begin the core curriculum.
Pre-Program Foundation – 6 credits
Any student who has taken statistics or economics at the undergraduate level may be eligible to waive each course, subject to a transcript review.
Statistics
Economic Environment of the Firm
Program Foundation – 12 credits
Students who have received a business degree from a non-AACSB or EQUIS accredited institution may be eligible to waive the program foundation courses, subject to a transcript review. All non-business majors must take the program foundation courses.
Module I (6 Credits)
Accounting for Decision-Making
Financial Statement Analysis for Decision-Making
Managing People in Organizations
Quantitative Curriculum
To earn the MSF with the quantitative concentration, students must successfully complete 10 courses (30 credit hours):
six required courses (18 credit hours), three electives -- of which one must be MA 611 or MA 639 (nine credit hours),
and the Capstone course. All courses earn three hours of credit.
Core Courses - 18 credits required |
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Corporate Finance: Theory, Tools and Concepts |
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Fixed Income Valuation and Strategies |
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Derivatives |
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International Financial Management |
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Mathematical Foundations of Quantitative Finance |
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Quantitative Analysis for Business and Finance |
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Elective Courses - 9 credits required - at least 3 credits in math |
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Analysis of Financial Time Series |
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Asset Valuation and Derivative Pricing |
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Short-Term Financial Management |
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Equity Valuation |
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Seminar in Equity Trading |
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Advanced Portfolio Theory and Practice |
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Internship in Finance |
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Enterprise Risk Management |
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Real Estate Investment Analysis |
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Large Investments and International Project Finance |
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Quantitative Finance Capstone |
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Applied Modeling |
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