School of Business & Economics
Quantitative Finance Requirements
Foundation Courses: The following should ideally be completed by the end of sophomore year.
- GW 100: Gateway Colloquium
- ACC 112: Accounting for Decision Making I
- ACC 212: Accounting for Dicision Making II
- ECON 100: Introduction to Economics
- ECON 227: Statistics
- MATH 176: Calculus I (or university credit for AP Calculus)
Major Requirements
The following courses are to be taken upon successful completion of the foundation courses. The major in Quantitative Finance requires a minimum of 13 courses. Required courses include:
Finance
- FIS 303 – Financial Management
- FIS 309 – Investments
- FIS 409 – Portfolio Management
- FIS 415 – Quantitative Finance
Math
- Math 177 – Calculus II
- Math 324 - Probability
- Math 325 – Mathematical Statistics
Data Science
- CS 125 / DS 125 - Introduction to Computer and Data Sciences
- DS 225 - Data Analytics with Visualization
- CS 377 / DS 377 - Applied Data Analysis
- CS 222 - Ethics, Values, and Issues in Cybertechnology
Electives (at least 2 to be chosen from the list below)
- FIS 305 – Financial Statement Analysis
- FIS 306 – Cases in Financial Modeling
- FIS 308 – Derivatives
- FIS 411 – Advanced Portfolio Management
- FIS 413 - Trading
- Math 215 – Linear Algebra
- Math 340 – Differential Equations
- Math 403 – Computation Data Analysis
- Math 407 -Numerical Methods
- Math 451 – Wavelet Analysis
- CS 314 - Database Systems
- CS 338 – Artificial Intelligence
- CS 387 - Deep Learning
- ECON 301 – Intermediate Microeconomics
- ECON 302 – Intermediate Macroeconomics
- ECON 338 – Time Series Analysis
NOTES:
- Internship 397 does NOT count as an lective toward any major or minor
- No more than one D in the major or minor is permitted
- No course may be used to meet the requirements of more than one major or those of a major and a minor
- The University requires students to complete 11 course units numbered 300 or higher, at least 4 of them must be in the major department