Universities / Illinois Institute of Technology
Master of Financial Technology (MFinTech)
A 30-credit professional master with a substantial mathematical-finance core. Required subjects cover algorithmic trading, financial machine learning, statistical financial data, automated wealth management and decentralised financial engineering.
What you’ll study
Core
- Machine Learning in Finance: From Theory to Practice
- Mathematical Methods for Algorithmic Trading
- Statistical Analysis of Financial Data
- Wealth Management and Robo-Advising
- Decentralized Financial Engineering
Electives
- Stochastic Processes
- Introduction to Time Series
- Monte Carlo Methods
- Mathematical Finance II
- Theory and Practice of Fixed Income Modeling
- Advanced Quantitative Risk Management
- Quantitative Portfolio Management
- High Frequency Finance and Technology
Source: catalog.iit.edu ↗
Before you apply
- Background
- Honours bachelor’s degree from a recognised university or comparable institution
- Tests
- GMAT or GRE encouraged, not mandatory
- Other
- Catalogue describes GPA 3.0 and GRE 310 as satisfactory; GRE remains optional
Source: catalog.iit.edu ↗
After graduation
The programme doesn’t publish an employment report.
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Five core courses and five electives, with required choices across applied mathematics, computing/security and finance/business.
Checked 6 November 2026 against the sources linked on this page. Fees, units and requirements change each year, so confirm them on the programme’s website before applying.
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