MS in Financial Engineering and Fintech (formerly MS in Mathematical Finance) (MAFI)
A 30-credit evening programme in Charlotte, a major banking hub, that pairs derivatives, fixed income and econometrics with a choice of concentrations in fintech and quantitative finance, quantitative risk management, or AI/ML in finance. The university states the old Mathematical Finance degree is the same programme under a new name.
What you’ll study
Core
- ECON/STAT 6113 Cross-Section and Time-Series Econometrics
- FINN 6210 Financial Elements of Derivatives
- FINN 6211 Fixed Income Securities and Credit Risk
- MBAD 6150 Foundations of Fintech
Electives
- ECON/FINN 6203 Financial Economic Theory
- ECON/FINN 6219 Financial Econometrics
- FINN 6217 Blockchain, Cryptocurrencies, and DeFi
- MATH 6203 Stochastic Calculus for Finance
- MATH 6204 Modern Computational Methods for Finance
- STAT 6115 Statistical Machine Learning with Big Data
- FINN 6213 Risk Management and Financial Institutions
- FINN 6214 Asset and Portfolio Management
- FINN 6216 Quantitative Risk Management
- FINN 6221 Financial Resource and Risk Management
- FINN 6220 Advanced Financial Modeling with AI
- MBAD 6214 AI for Business Competitive Advantage
- MBAD 6167 AI: Ethics, Law, and the Business Environment
Source: academics.charlotte.edu ↗
Before you apply
- Background
- Bachelor's degree in a related field, minimum 3.0 GPA
- Maths
- calculus; statistics
- Programming
- Familiarity with at least one programming language, preferably Python
- Tests
- GRE or GMAT required, with waiver available (3+ years relevant experience and 3.0 GPA, or 3.5 GPA with A- or above in quantitative coursework)
- Other
- Statement of purpose, resume, letters of recommendation, transcripts
Source: academics.charlotte.edu ↗
After graduation
- Typical first roles
- Quantitative analyst, Quantitative risk manager, Fintech developer
Source: academics.charlotte.edu ↗
Want to see what employers ask for? Browse open quant roles.
Original URL mathfinance.charlotte.edu redirects to the renamed programme page. Page cites local employers Bank of America, Wells Fargo, Truist, Ally (no placement data).
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.