Master of Mathematical Finance
Collaborative program with the Stuart School of Business
The objective of the Master of Mathematical Finance program is to provide individuals interested in pursuing careers in financial risk management with advanced education in theoretical, computational, and business aspects of relevant quantitative methodologies. This is a collaborative program between the Stuart School of Business and the Department of Applied Mathematics, and as such, it gives students the chance to benefit from the strength of both units. Students are required to complete a total of eleven semester courses, including eight core courses and three elective courses.
Curriculum
| Code | Title | Credit Hours |
|---|---|---|
| Core Courses | (24) | |
| MSF 505 | Futures, Options, and OTC Derivatives | 3 |
| MSF 526 | Computational Finance | 3 |
| MSF 575 | C++ with Financial Markets | 3 |
| MATH 542 | Stochastic Processes | 3 |
| MATH 548 | Mathematical Finance I | 3 |
| MATH 565 | Monte Carlo Methods in Finance | 3 |
| MATH 582 | Mathematical Finance II | 3 |
| MATH 586 | Theory and Practice of Fixed Income Modeling | 3 |
| Applied Mathematics Elective Courses | (3) | |
| Select a minimum of one course from the following: | 3 | |
| Advanced Data Mining | 3 | |
| Partial Differential Equations | 3 | |
| Mathematical Modeling | 3 | |
| Probability | 3 | |
| Stochastic Analysis | 3 | |
| Stochastic Dynamics | 3 | |
| Stochastic Partial Differential Equations | 3 | |
| Introduction to Time Series | 3 | |
| Multivariate Analysis | 3 | |
| Advanced Design of Experiments | 3 | |
| Statistical Learning | 3 | |
| Computational Mathematics I | 3 | |
| Computational Mathematics II | 3 | |
| Complexity of Numerical Problems | 3 | |
| Theory and Practice of Modeling Risk and Credit Derivatives | 3 | |
| Numerical Methods for Partial Differential Equations | 3 | |
| Meshfree Methods | 3 | |
| Finance Elective Courses | (3) | |
| Select a minimum of one course from the following: | 3 | |
| Models for Derivatives | 3 | |
| Term Structure Modeling and Interest Rate Derivatives | 3 | |
| Structured Fixed Income Portfolios | 3 | |
| Quantitative Investment Strategies | 3 | |
| Market Risk Management | 3 | |
| Credit Risk Management | 3 | |
| Time Series Analysis | 3 | |
| Bayesian Econometrics | 3 | |
| .NET and Database Management | 3 | |
| OOP and Algorithmic Trading Systems | 3 | |
| High Frequency Finance | 3 | |
| Equity and Equity Derivatives Trading | 3 | |
| Foreign Exchange Market and Fixed Income Strategies | 3 | |
| Additional Elective Course | (3) | |
| Select one course 1 | 3 | |
| Total Credit Hours | 33 | |
| 1 | One graduate level elective may be taken from outside the prescribed mathematical finance courses described above, provided that it is consistent with the Master of Mathematical Finance program objectives and has been approved by the program director prior to the student's registration. |
Core Requirement
All mathematical finance students must complete the eight core classes unless they have obtained written permission from their academic adviser to substitute an alternative class for a core class.
Course Substitutions
To the extent that students have completed commensurate coursework or professional experience, substitutions to the required curriculum may be permitted, with the approval of the academic adviser.
Transfer Credit
Students may also transfer up to two classes from a graduate program at another accredited university if the student has not used the classes to satisfy the requirements for a degree at the previous university. Additional classes may be transferred with the permission of the program director.
Prerequisite Courses
Some students may be required to take prerequisite courses in mathematics, statistics, or computer programming before being admitted to a graduate course.
