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 | |
Required 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
Data Science for Economics Concentration
| Code | Title | Hours |
|---|---|---|
| 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 courses: | 4 | |
| Machine Learning | ||
or EECE 5644 | Introduction to Machine Learning and Pattern Recognition | |
| Data Mining Techniques | ||
| Computation and Visualization for Analytics | ||
| Machine Learning and Data Analytics | ||
| Economics Elective | ||
| Complete 4 semester hours from the following range: | 4 | |
| Note: ECON 5200 is the primary elective offered on the Seattle campus. Consult program for current elective details. | ||
| Topics in Applied Economics | ||