- Concentrations and course offerings may vary by campus and/or by program modality. Please consult with your advisor or admissions coach for the course availability each term at your campus or within your program modality.
- Certain options within the program may be required at certain campuses or for certain program modalities. Please consult with your advisor or admissions coach for requirements at your campus or for your program modality.
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
The concentration may be taken in place of the elective section. Seattle students are required to complete the concentration.
Optional Co-op Experience
Code | Title | Hours |
---|---|---|
Four-month co-ops require registration at 1 semester hour for one term. Longer co-ops require registration at 1 semester hour per term for two consecutive terms. | 1–2 | |
Co-op Work Experience and Experiential Integration |
Program Credit/GPA Requirements
- 32 semester hours required (33–34 with optional co-op)
- Minimum 3.000 GPA required
-
-
Concentration in Data Science for Economics
Course List Code Title Hours Required CS 5800 Algorithms 4 or OR 6205 Deterministic Operations Research DS 5110 Introduction to Data Management and Processing 4 or IE 6700 Data Management for Analytics or DAMG 6210 Data Management and Database Design Complete 4 semester hours from the following courses: 4 Supervised Machine Learning and Learning Theory or CS 6140Machine Learning Unsupervised Machine Learning and Data Mining or CS 6220Data Mining Techniques Computation and Visualization for Analytics Data Mining in Engineering Advanced Machine Learning Economics Elective Complete 4 semester hours from the following range: 4 -
Electives Option
-
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.
Course List Code Title Hours Complete 16 semester hours from the following range (excluding any class taken to fulfill core requirements above): 16