Master of Financial Technology
The Master of Financial Technology program is a professional masters program aiming at empowering students with knowledge in Fintech and data science, enabling them to understand, execute, and develop disruptive financial innovations using appropriate tools and techniques, and nurturing them to better prepare for the fast-growing demand in today’s data-driven economy. This is a STEM program, including in its curriculum courses from the Department of Applied Mathematics, Department of Computer Science, Department of Information Technology and Management, and Stuart School of Business, and as such, it gives students the chance to benefit from the strength of all units. Students are required to complete a total of ten semester courses, including five core courses and five elective courses.
Admission Requirements
A Bachelor degree with honors from a recognized university or comparable institution is required for admission. A satisfactory score on the Graduate Management Admission Test (GMAT) or Graduate Record Examination (GRE) is encouraged but not mandatory. Satisfactory is GPA 3.0 and GRE 310.
Curriculum
| Code | Title | Credit Hours |
|---|---|---|
| Core Courses | (15) | |
| MATH 527 | Machine Learning in Finance: From Theory to Practice | 3 |
| MATH 584 | Mathematical Methods for Algorithmic Trading | 3 |
| MATH 575 | Statistical Analysis of Financial Data | 3 |
| MATH 583 | Wealth management and robo-advising | 3 |
| MATH 585 | Decentralized Financial Engineering | 3 |
| Applied Mathematics Elective Courses | (6) | |
| Select a minimum of two courses from the following: | 6 | |
| Stochastic Processes | 3 | |
| Introduction to Time Series | 3 | |
| Regression | 3 | |
| Monte Carlo Methods | 3 | |
| Advanced Design of Experiments | 3 | |
| Statistical Learning | 3 | |
| Bayesian Computational Statistics | 3 | |
| Mathematical Finance II | 3 | |
| Theory and Practice of Fixed Income Modeling | 3 | |
| Advanced Quantitative Risk Management | 3 | |
| Applied Computational Statistics for Analytics | 3 | |
| CS and ITM Security Elective Courses | (6) | |
| Select a minimum of two courses from the following: | 6 | |
| Object Oriented Design and Programming | 3 | |
| Introduction to Information Security | 3 | |
| Introduction to Artificial Intelligence | 3 | |
| Software Engineering I | 3 | |
| Advanced Database Organization | 3 | |
| Data Privacy and Security | 3 | |
| Cryptography and Network Security | 3 | |
| Cloud Computing | 3 | |
| Cyber Forensics | 3 | |
| Cyber Security Technologies | 3 | |
| Cyber Security Technologies: Projects & Advanced Methods | 3 | |
| Mobile Device Forensics | 3 | |
| Operating Systems Security | 3 | |
| Cyber Security Management | 3 | |
| Finance and Business Elective Courses | (3) | |
| Select a maximum of one course from the following: | 3 | |
| New Technology Ventures (Deep Tech Commercialization) | 3 | |
| Futures, Options, and OTC Derivatives | 3 | |
MSF 526 | 3 | |
| Quantitative Portfolio Management | 3 | |
| Market Risk Management | 3 | |
| Time Series Analysis | 3 | |
MSF 567 | 3 | |
MSF 574 | 3 | |
| High Frequency Finance and Technology | 3 | |
| Total Credit Hours | 30 | |
