Master of Engineering in ORIE, Financial Engineering concentration (MEng FE)
A practitioner-taught, project-based concentration where students start in Ithaca and finish in Manhattan. Modules cover modelling, data science, optimisation and finance, with industry-sponsored capstone projects and an optional Financial Data Science certificate.
What you’ll study
Core
- Three modeling and data science modules
- Financial applications module (Johnson Graduate School of Management and CFEM courses)
Electives
- CFEM electives (change yearly)
Source: duffield.cornell.edu ↗
Before you apply
- Maths
- engineering calculus sequence incl. linear algebra and vector calculus (similar to MATH 1910, 1920, 2940); intro engineering probability and statistics (similar to ENGRD 2700)
- Programming
- Intro programming (like CS 1110); intermediate course in C, C++, Java or Python (like ENGRD 2110)
- Tests
- GRE or GMAT required, GRE preferred; exempt for current Cornell students
- English
- Not mentioned on page read
- Other
- Programme is self-funded; limited merit-based aid
Source: duffield.cornell.edu ↗
After graduation
- Typical first roles
- trading, quantitative portfolio management, financial data science/fintech, financial risk management
Want to see what employers ask for? Browse open quant roles.
No placement numbers published on pages read (only qualitative statement of high placement within 6-9 months). About 10 capstone projects a year. Site moved from orie.cornell.edu to duffield.cornell.edu.
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.