MS in Financial Engineering (MSFE)
A 33-credit engineering-school degree built around derivatives, quantitative methods and valuation, with a choice of risk, financial economics or machine learning in the core. Students finish with an applied programming lab and a capstone that can be an internship, project or thesis; a pre-programme maths and programming boot camp is offered.
What you’ll study
Core
- Introduction to Derivative Securities (FRE-GY 6073)
- Quantitative Methods in Finance (FRE-GY 6083)
- Valuation for Financial Engineering (FRE-GY 6103)
- Choose two of: Financial Economics (FRE 6023); Financial Risk Management (FRE 6123); Machine Learning in Financial Engineering (FRE 7773)
- Bloomberg Certification (0 credits)
- Applied lab (1.5 credits; Python, C++, R or visualization options)
- Capstone (3 credits: internship, project, thesis or special topics)
Electives
- 13.5 credits of FRE electives; up to 9 credits may come from other NYU schools with advisor approval
Source: bulletins.nyu.edu ↗
Before you apply
- Background
- Bachelor's degree from an accredited institution
- Maths
- linear algebra; probability theory; advanced multivariable calculus; applied statistics
- Programming
- computer programming proficiency (summer boot camp offered)
- Tests
- GRE not listed as a requirement on the programme page (Fall 2025 entrants averaged 168.6/170 Quant GRE and 3.83 GPA)
- English
- English proficiency test where applicable; minimum score not stated
- Other
- Transcripts, resume, statement of purpose, 1-minute video, two recommendation letters, US$90 fee; deadlines Dec 1 (priority) and Feb 15
Source: engineering.nyu.edu ↗
After graduation
- Employment
- 67% employed at graduation and 88% within 90 days of graduation, class of 2025 (113 graduates seeking employment)
- Salary
- Average base salary 107,478 (currency not stated on page), class of 2025; this is a mean, not a median
- Typical first roles
- Quantitative Analyst, Quantitative Researcher, Quantitative Developer, Risk Analyst, Market Risk Analyst, Algorithmic Trader, Data Scientist, Machine Learning Engineer
- Employers
- Goldman Sachs, JPMorgan Chase, Morgan Stanley, BlackRock, Citibank, Bloomberg, Microsoft, Deloitte
Source: engineering.nyu.edu ↗
Want to see what employers ask for? Browse open quant roles.
QuantNet rank 11 is as quoted on NYU's own page (year not stated); QuantNet itself was blocked. Employment page reports 85% of graduates placed in the US.
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.