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.


Core Courses (15)
MATH 527Machine Learning in Finance:3
MATH 584Math for Algorithmic Trading3
MATH 575Financial Data Analysis3
MATH 583Robo-advising3
MATH 585DeFI Engineeering3
Applied Mathematics Elective Courses (6)
Select a minimum of two courses from the following:6
Stochastic Processes3
Introduction to Time Series3
Applied Statistics3
Monte Carlo Methods in Fin3
Adv Design of Experiments3
Statistical Learning3
Bayesian Computational Stats3
Mathematical Finance II3
Ther&Prac Fixed Income Modelng3
Advanced Quant Risk Mgmt3
Appl Comp Stats for Analytics3
CS and ITM Security Elective Courses (6)
Select a minimum of two courses from the following:6
Objct Orntd Dsgn Prgmng3
Intro to Information Security3
Introduction to Artificial Int3
Software Engineering3
Advanced Database Organization3
Data Privacy and Security3
Cloud Computing3
Cyber Forensics3
Cyber Security Technologies3
CST: Projects & Adv Methods3
Mobile Device Forensics3
Operating Systems Security3
Cyber Security Mgmt3
Finance and Business Elective Courses (3)
Select a maximum of one course from the following:3
New Technology Ventures3
Futures/Option/OTC Derivatives3
Computational Finance3
Quant Investment Strategies3
Market Risk Management3
Time Series Analysis3
Bayesian Econometrics3
.NET and Database Management3
High Frequency Finance3
Total Credit Hours30
Year 1
Semester 1Credit HoursSemester 2Credit Hours
MATH 5753MATH 5833
MATH 5273MATH 5843
MATH 5883MSF 5743
ITMS 5483 
 12 9
Year 2
Semester 1Credit Hours 
MATH 5653 
MATH 5853 
CS 5253 
Total Credit Hours: 30