Program Introduction
Columbia University's Bachelor of Science in Operations Research and Financial Engineering (BS/ORFE) is an interdisciplinary program that combines mathematical modeling, optimization, probability, statistics, and computer science to analyze complex financial and operational systems. The program provides students with a strong theoretical foundation and practical knowledge in financial engineering, data analytics, risk management, and optimization techniques. This program has received STEM (Science, Technology, Engineering, and Mathematics) designation, meaning international students can apply for up to three years of Optional Practical Training (OPT) after graduation. Offered by the Department of Industrial Engineering and Operations Research (IEOR), the program equips students with the skills needed to solve complex problems across various industries including financial services, consulting, technology, healthcare, and energy. The curriculum emphasizes advanced mathematical techniques and computer programming skills while teaching students how to apply these to real-world industrial situations such as financial markets, supply chains, and service systems. Students can gain practical experience through undergraduate research opportunities, various student organizations, and industry connections that foster professional growth.
- Language of InstructionEnglish
- Program Length48 months
- Teaching MethodsOffline
- Core Required Courses: Linear Algebra, Calculus, Probability, Statistics, Optimization, Introduction to Financial Engineering, Computational Methods, Stochastic Modeling - Financial Engineering Courses: Derivatives Pricing, Portfolio Theory, Risk Management, Algorithmic Trading, Market Microstructure - Operations Research Courses: Linear Programming, Network Flows, Dynamic Programming, Game Theory, Queueing Theory - Computing Skills: Programming Languages (Python, R, MATLAB), Data Structures, Algorithms, Database Systems - Data Analytics: Machine Learning, Statistical Inference, Big Data Analytics, Time Series Analysis, Predictive Modeling - Elective Courses: Advanced IEOR courses and related courses from other departments tailored to student interests - Basic Science Requirements: Natural Sciences and Laboratory courses (Physics, Chemistry, etc.) - Capstone Experience: Industry-partnered projects, Research papers, Financial simulations, Real-world problem-solving assignments - Humanities and Social Sciences: Liberal arts courses including Economics, Philosophy, History, Sociology - Total Credits Required: Typically 128 credits (Four-Year Program)
Quantitative Analyst
$95,000 ~ $135,000
Financial Engineer
$90,000 ~ $130,000
Data Scientist
$100,000 ~ $140,000
| Intakes | Application Deadlines |
|---|---|
| 2025 Fall | 2025-01-01 |
Admission Requirement
- GPANo Min Score
- SAT / ACTNo Min Score
No Min Score
No Min Score
- Common Application Required
- High School TranscriptRequired
- School ReportRequired
- 2 Letters of RecommendationRequired
- Mid-Year ReportRequired
- Personal EssayRequired
- Columbia-Specific Essay QuestionsRequired
- Resume Required
List of Activities
- InterviewOptional
Optional (if invited)
- SAT / ACTOptional
Optional (considered if submitted)
- Certified English Test Score ReportRequired
Fees and Funding
$71,170/Year
$17,580/Year
$85