Complete all courses and requirements listed below unless otherwise indicated.

Core Requirements

Quantitative
ECON 5105Math and Statistics for Economists4
or ECON 6105 Advanced Mathematics and Statistics for Economists
ECON 5140Applied Econometrics4
or ECON 6140 Advanced Applied Econometrics
Theory
ECON 5110Microeconomic Theory4
or ECON 6110 Advanced Microeconomic Theory
ECON 5120Macroeconomic Theory4
or ECON 6120 Advanced Macroeconomic Theory

Required Concentration

Optional Co-op Experience

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

CS 5200Database Management Systems4
or DAMG 6210 Data Management and Database Design
or IE 6700 Data Management for Analytics
OR 6205Deterministic Operations Research4
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
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