Governor Henry presenting the 2007 Donald W. Reynolds Governor's Cup College of Business Administration North Entrance Students in class Professor Boyd

Master of Science in Finance and
Master of Science in Applied Mathematics (MSF/MSAM)

Contemporary finance, risk management, and financial engineering are ideal environments for the integration of applied mathematics and finance. The University of Tulsa's dual MSF/MSAM degree program capitalizes on this environment by combining an in-depth study of financial theory and application with a study of advanced applied mathematics. Graduates will have a level of understanding of both finance and mathematics that will give them a competitive edge and prepare them to work on the very frontiers of finance. Graduates will be proficient with modern computation tools and will have experience in solving applied problems.

  • Combines financial theory with applied mathematics
  • Students will work in the leading edge of finance
  • Accredited by AACSB International
  • Full-time program
  • Small class size
  • No work experience required
  • Undergraduate degree from any field of study
  • Programs share a total of 12 hours

OPTIONS AVAILABLE:

Corporate Finance Option – Prepares students for careers involving functions such as analyzing mergers, acquisitions, and divestitures; financing firm growth; managing corporate investments; and determining the optimal allocation of a firm’s assets.  Areas of study include short-term financial assets, long-term financing and investment decisions, international finance, and risk management. Course Requirements

Investments and Portfolio Management Option – For individuals seeking in-depth study of financial markets and an understanding of the market’s role in developing the financial assets of corporations, mutual funds, and private investors.  Students participate in the management of a real portfolio valued at more than $1,550,000. Student Investment Fund.
Course Requirements

Risk Management Option – Designed for students with strong quantitative backgrounds who intend to pursue careers as risk managers.  Professionals in this area use advanced mathematical models to analyze business risks and to determine courses of action that are within acceptable risk limits. Course Requirements

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