Quantitative Finance Course Plan
Quantitative Finance Example Course Plan (first 3 semesters)
This is an example course plan based on the 2023-2024 University Catalog; your actual schedule may deviate from this example. Your faculty advisor will work with you to select appropriate courses. Course descriptions can be found within the University Catalog . As an IWU student, it is your responsibility to track your progress each semester towards completing graduation requirements using the MyIWU degree audit tool.
Fall Semester
- ACC 112: Introduction to Financial Accounting
- MATH 176: Calculus I
- GW 100: Gateway Colloquium
- Foreign Language Course*
* Students may place out of part or all of the Foreign Language Course requirement and may not have to complete three courses in this area.
Spring Semester
- ACC 212: Introduction to Managerial Accounting
- ACC 212L: Introduction to Spreadsheet Applications (.5CU)*
- ECON 100: Introduction to Economics
- Foreign Language Course second level**
- MATH 177: Calculus II
*ACC 212L must be taken concurrently with ACC 212.
** Students may place out of part or all of the Foreign Language Course requirement and may not have to complete three courses in this area.
Fall Semester
- CS/DASC 125: Introduction to Computer and Data Sciences
- ECON 227: Statistics for Business and Economics
- Foreign Language Course***
- Shared Curriculum Elective
* ECON 227 may be taken in any of the first four semesters, but is normally taken in the sophomore year. If a student has received a unit of credit for AP Statistics (score of 4 or 5), they are not required to take ECON 227.
*** Students may place out of part or all of the Foreign Language Course requirement and may not have to complete three courses in this area.
Spring Semester
- FIS 303: Financial Management
- MATH 324: Probability
- DASC 225: Data Analytics with Visualization
- Either Shared Curriculum course or Quant Finance Elective (from list below)
- FIS 305 Financial Statement Analysis
- FIS 308 Derivatives
- FIS 411 Advanced Portfolio Management
- FIS 413 Trading
- MATH 215 Linear Algebra
- MATH 340 Differential Equations
- MATH 403 Computational Data Analysis
- MATH 407 Numerical Analysis
- MATH 451 Wavelet Analysis
- CS 314 Database Systems
- CS 338 Time Series Analysis
- CS 387 Deep Learning
- ECON 301 Intermediate Microeconomics ECON 302 Int Macroeconomics
Contact
David Wallace - Associate Professor of Business Administration and Chair of Business, Marketing and Entrepreneurship
Department - School Of Business And Economics