Financial Engineering (MS)
The M.S. program in Financial Engineering is offered on a full time basis only. Financial Engineering is intended to provide a unique technical background for students interested in pursuing career opportunities in financial analysis and risk management. In addition to the basic requirements for graduate study, students are expected, on entry, to have attained a high level of mathematical and computer programming skills, particularly in probability, statistics, linear algebra, and the use of a programming language such as C, Python, or Java. Previous professional experience is highly desirable but not required.
Graduate studies in Financial Engineering consists of 36 points (12 courses), starting the fall semester. Students may complete the program in May, August, or December of the following year. The requirements include six required core courses and additional elective courses chosen from a variety of departments or schools at Columbia.
| Code | Title | Points |
|---|---|---|
| Required Core Courses | ||
| IEOR E4007 | OPT MODELS ＆ METHODS FOR FE | |
| IEOR E4701 | STOCHASTIC MODELS FOR FIN ENG | |
| IEOR E4703 | MONTE CARLO SIMULATION METHODS | |
| IEOR E4706 | FOUNDATIONS FR FINANCIAL ENGIN | |
| IEOR E4707 | FE CONTINUOUS TIME MODELS | |
| IEOR E4709 | STATISTICAL ANALYSIS AND TIME SERIES | |
In addition, students are required to attend IEOR E4798 Financial Engineering Practitioners Seminar Series and submit learning journals.
Financial Engineering has seven concentrations:
- Asset Management;
- Computation and Programming;
- Computational Finance and Trading Systems;
- Derivatives;
- Finance and Economics;
- Financial Technology; and
- Machine Learning for Financial Engineering.
A sample schedule is available in the Department office and on the IEOR website at ieor.columbia.edu. Students select electives from a group of specialized offerings in both the fall and spring terms. They may select from a variety of approved electives from the Department, Columbia Business School, and the Graduate School of Arts and Sciences.
Financial Engineering1
(36 points)
| Code | Title | Points |
|---|---|---|
| Fall Semester | ||
| Choose nine points from the following required core courses: 2 | ||
| OPT MODELS ＆ METHODS FOR FE | ||
| STOCHASTIC MODELS FOR FIN ENG | ||
| FOUNDATIONS FR FINANCIAL ENGIN | ||
| Financial Engineering Practitioners Seminar Series | ||
| MSFE Quantitative and Computational Bootcamp | ||
| Plus Financial Engineering electives, 3-6 points 3 | ||
| Spring Semester | ||
| Required core courses (9 points): 2 | ||
| IEOR E4703 | MONTE CARLO SIMULATION METHODS | |
| IEOR E4707 | FE CONTINUOUS TIME MODELS | |
| IEOR E4709 | STATISTICAL ANALYSIS AND TIME SERIES | |
| Plus Financial Engineering electives, 3–6 points 3 | ||
| Summer and/or Fall Semester | ||
| (For remaining credits) 2 | ||
| CSOR E4231 | ANALYSIS OF ALGORITHMS I | |
| CSOR W4246 | ALGORITHMS FOR DATA SCIENCE | |
| IEOR E4402 | Corporate Finance, Accounting ＆ Investment Banking | |
| or IEOR E4403 | QUANTITATIVE CORPORATE FINANCE | |
| IEOR E4500 | APPLICATIONS PROGRAMMNG FOR FE | |
| IEOR E4525 | MACHINE LEARNING FE ＆ OPR | |
| IEOR E4530 | TOPICS IN OPERATIONS RESEARCH | |
| IEOR E4540 | DATA MINING | |
| IEOR E4601 | DYNAMIC PRICING/REVENUE MGMT | |
| IEOR E4602 | QUANTITATIVE RISK MANAGEMENT | |
| IEOR E4630 | ASSET ALLOCATION | |
| IEOR E4718 | INTRO-IMPLIED VOLATILITY SMILE | |
| IEOR E4720 | TOPICS IN QUANT FINANCE | |
| IEOR E4721 | TOPICS IN QUANT FINANCE | |
| IEOR E4722 | TOPICS IN QUANT FINANCE | |
| IEOR E4723 | TOPICS IN QUANTATIVE FINANCE | |
| IEOR E4724 | TOPICS IN QUANTATIVE FINANCE | |
| IEOR E4725 | Topics in Quantitative Finance: Numerical Solutions of Partial Differential Equation | |
| IEOR E4726 | TOPICS IN QUANTATIVE FINANCE | |
| IEOR E4727 | TOPICS IN QUANTATIVE FINANCE | |
| IEOR E4728 | TOPICS IN QUANTITATIVE FINANCE | |
| IEOR E4729 | TOPICS IN QUANTATIVE FINANCE | |
| IEOR E4731 | CREDIT RISK/CREDIT DERIVATIVES | |
| IEOR E4732 | COMPUT METHODS IN FINANCE | |
| IEOR E4733 | ALGORITHMIC TRADING | |
| IEOR E4734 | FOR EXCH/RELATD DERIVATVS INST | |
| IEOR E4735 | Structured and Hybrid Products | |
| IEOR E4737 | AI Applications in Finance | |
| IEOR E4741 | Programming for Financial Engineering | |
| IEOR E4742 | Deep Learning for OR and FE | |
| IEOR E4745 | Applied Financial Risk Management | |
| IEOR E4900 | MASTERS RESEARCH OR PROJECT | |
| IEOR E4999 | FIELDWORK | |
| ORCS E4529 | Reinforcement Learning | |
| Additional Financial Engineering electives will be offered 3 | ||
- 1
Students may conclude the program in May, August, or December. Please visit the departmental website at msfe.ieor.columbia.edu for more information.
- 2
All courses listed are for 3 points, unless stated otherwise.
- 3
The list of Financial Engineering electives can be found at ieor.columbia.edu/msfe-curriculum.