BS in Operations Research — Financial Engineering concentration (BSOR:FE)
A financial-engineering concentration within the Operations Research bachelor’s degree. It applies mathematical, engineering and programming methods to financial problems, with elective choices spanning data science, risk and trading.
What you’ll study
Electives
- Data Analytics and Machine Learning
- Machine Learning for OR & FE
- Quantitative Risk Management
- Statistical Analysis and Time Series
- Beyond Black-Scholes: The Implied Volatility Smile
- AI Applications in Finance
- Credit Risk Modeling and Derivatives
- Algorithmic Trading
- Deep Learning for OR & FE
- Reinforcement Learning
Source: ieor.columbia.edu ↗
Before you apply
The programme doesn’t publish detailed entry requirements beyond a general admissions page.
After graduation
The programme doesn’t publish an employment report.
Want to see what employers ask for? Browse open quant roles.
What students and graduates say
Threads from QuantNet and other forums where applicants, students and graduates discuss this programme. They’re personal views and may be out of date.
- Is BSOR:FE considered an Applied math major or Finance major? (Reddit)
- BS in Financial Engineering (Reddit)
Official page applies to Classes 2027 and 2028. This is a concentration within Operations Research; it requires 15 technical-elective credits and 3 management-elective credits.
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.