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Students who enter the program with graduate credits earned at other institutions will generally not be expected to repeat coursework they have already completed. The total credit hours and academic requirements for a Masters or doctorate in Applied Mathematics and Statistics, however, must still be met.
Students who are transfering into the program having completed advanced degrees in highly mathematical fields, both in and out of Finance, may be admitted to the Ph.D. program in Applied Mathematics and Statistics. The precise details, including the resoluition of any graduate deficiencies, are determined on a case by case basis by the Graduate Program Director. The academic requirements for a doctorate in Applied Mathematics and Statistics must still be met. The Advanced Graduate Certificate in Quantitative Finance is open to students who already have a Masters in a quantitative discipline or equivalent preparation and will require the completion of 15 graduate credits as outlined below:
These courses are all regular graduate courses and can also be taken as electives in one of the M.S.degree tracks in Applied Mathematics and Statistics. Quantitative Finance Courses i) AMS 511, Foundations of Quantitative Finance ii) AMS 512, Capital Markets and Portfolio Theory iii) AMS 513, Financial Derivatives and Stochastic Calculus iv) AMS 515, Case Studies in Quantitative Finance v) at least one more elective course in quantitative finance chosen from AMS 514, Computational Finance AMS 516, Statistical Methods in Finance , AMS 517, Topics in Statistical Methods for Finance , or, with permission of their advisor, a student may chose an elective from other graduate courses in the department. Mathematical Sciences Courses vi) AMS 507, Introduction to Probability vii) AMS 510, Analytical Methods for Applied Mathematics and Statistics viii) AMS 550, Stochastic Models ix) AMS 553, Simulation and Modeling x) one statistics course, typically AMS 572 Data Analysis I or AMS 578, Regression Theory or AMS 586, Time Series xi) AMS 595 Fundamentals of Computing (1credit)
Individuals who are considering a Ph.D. in quantitative finance are strongly encouraged to take the sequence AMS 570 - Mathematical Statistics I: Estimation and AMS 571 - Mathematical Statistics II: Hypothesis Testing instead of AMS 576 and |
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