The Second Major in Financial Engineering
A second major in financial engineering is ideal for students who are interested in careers or graduate study in financial engineering, quantitative finance, or related fields. This program covers classes in engineering, computer science, and business. Students interested in the second major must have a 3.3 or higher grade point average to pursue this second major, which includes the cumulative GPA, the Business GPA, and the Engineering GPA. Students must complete 30 total units (15 Engineering units and 15 Olin Business units).
| Code | Title | Units |
|---|---|---|
| Background Course Work | 15 | |
| CSE 131 | Introduction to Computer Science | 3 |
| ESE 326 | Probability and Statistics for Engineering | 3 |
| or DAT 121 | Managerial Statistics II | |
| or Econ 413 | Introduction to Econometrics | |
| or Econ 413W | Introduction to Econometrics with Writing | |
| or SDS 439 | Linear Statistical Models | |
| or SDS 493 | Probability | |
| Math 217 | Differential Equations | 3 |
| or ESE 217 | Differential Equations and Dynamical Systems Modeling in Engineering | |
| or Math 312 | Differential Equations and Dynamical Systems | |
| Math 233 | Calculus III | 3 |
| Math 309 | Matrix Algebra | 3 |
| or ESE 2180 | Linear Algebra and Component Analysis | |
| or Math 429 | Linear Algebra | |
Students must complete 15 Engineering units. At least 6 of those units must be from the Engineering Core Courses:
| Code | Title | Units |
|---|---|---|
| Engineering Core Courses | ||
| ESE 415 | Optimization | 3 |
| ESE 417 | Introduction to Machine Learning and Pattern Classification | 3 |
| or CSE 417T | Introduction to Machine Learning | |
| ESE 4261 | Statistical Methods for Data Analysis with Applications to Financial Engineering | 3 |
| ESE 427 | Financial Mathematics * | 3 |
| Engineering Elective Courses | ||
| CSE 247 | Data Structures and Algorithms | 3 |
| ESE 4031 | Optimization for Engineered Planning, Decisions and Operations | 3 |
| ESE 513 | Large-Scale Optimization for Data Science | 3 |
| ESE 520 | Probability and Stochastic Processes | 3 |
Students must complete 15 Olin Business units, including all 9 units of Olin Professional Core Courses and 6 elective units.
| Code | Title | Units |
|---|---|---|
| Olin Professional Core Courses | 9 | |
| ACCT 2610 | Principles of Financial Accounting | 3 |
| FIN 340 | Capital Markets and Financial Management | 3 |
| FIN 441 | Investments | 3 |
| Olin Electives | 6 | |
| FIN 450F | Financial Technology: Methods and Practice | 3 |
| FIN 451 | Options, Futures and Derivative Securities * | 3 |
| FIN 452 | Advanced Derivative Securities | 3 |
| FIN 500Q | Quantitative Risk Management | 3 |
| FIN 500R | Topics in Quantitative Finance | 1.5 |
| FIN 532B | Data Analysis for Investments | 1.5 |
| FIN 539 | Mathematical Finance | 1.5 |
| FIN 552 | Fixed Income Derivatives | 1.5 |
- *
At least one of FIN 451 or ESE 427 must be taken to complete the second major. ESE 427, if taken after FIN 340, can be used to satisfy the FIN 451 prerequisite of Olin elective courses.
For more information, contact the director of the program, Vladimir Kurenok.