Beginning with students admitted in the fall of 2026, all students pursuing on-ground master's degree programs must complete a university-level experiential learning requirement. This requirement may be fulfilled through the curriculum, co-op, or other work- or industry-integrated learning experiences.
Complete all courses and requirements listed below unless otherwise indicated.
Core Requirements
| Code | Title | Hours |
|---|---|---|
| Quantitative | ||
| ECON 5105 | Math and Statistics for Economists | 4 |
| or ECON 6105 | Advanced Mathematics and Statistics for Economists | |
| ECON 5140 | Applied Econometrics | 4 |
| or ECON 6140 | Advanced Applied Econometrics | |
| Theory | ||
| ECON 5110 | Microeconomic Theory | 4 |
| or ECON 6110 | Advanced Microeconomic Theory | |
| ECON 5120 | Macroeconomic Theory | 4 |
| or ECON 6120 | Advanced Macroeconomic Theory | |
Concentration or Electives Option
A concentration is not required. Students may complete the electives option in lieu of the Data Science for Economics concentration.
Optional Co-op Experience
| Code | Title | Hours |
|---|---|---|
| INSH 6964 and EESH 6000 | Co-op Work Experience and Professional Development for Co-op | 0 |
Program Credit/GPA Requirements
- 32 semester hours required
- Minimum 3.000 GPA required
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Data Science for Economics Concentration
Course List Code Title Hours Required CS 5200 Database Management Systems 4 or DAMG 6210 Data Management and Database Design or IE 6700 Data Management for Analytics OR 6205 Deterministic Operations Research 4 or CS 5130 Applied Programming and Data Processing for AI or CS 5180 Reinforcement Learning and Sequential Decision Making or CS 5800 Algorithms or IE 6400 Foundations for Data Analytics Engineering Complete 4 semester hours from the following: 4 Machine Learning or EECE 5644Introduction to Machine Learning and Pattern Recognition Data Mining Techniques Machine Learning in Economics Computational Finance and Financial Econometrics Computation and Visualization for Analytics Machine Learning and Data Analytics Economics Elective Complete 4 semester hours from the following range: 4 -
Electives Option
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With prior approval from the graduate program director, the following courses may substitute for electives: Thesis (ECON 7990) or Internship In Economics (ECON 8550). Additionally, a student may select a maximum of 8 graduate semester hours offered by other departments.
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The advanced 6000-level core courses (ECON 6105, ECON 6110, ECON 6120, ECON 6140) may be taken as electives only after the corresponding 5000-level course has been used to fulfill a core course requirement. Reverse sequencing is not allowed.
Course List Code Title Hours Complete 16 semester hours from the following range (excluding any class taken to fulfill core requirements above): 16