Master of Science in the Field of Quantitative Social Sciences (STEM)

The interdisciplinary master of science in quantitative social sciences focuses on quantitative research techniques and strategies. The program integrates the perspectives and research methods of four social science disciplines: economics, political science, sociology, and statistics. Students are provided with rigorous training in quantitative research with an emphasis on written and oral communication regarding research techniques and findings applicable to problems relevant to a range of fields and industries.

This is a STEM designated program.

Visit the program website for more information.

Visit the Columbian College of Arts and Sciences website for application requirements.

Supporting documents not submitted online should be mailed to:

Columbian College of Arts and Sciences, Office of Graduate Studies
The George Washington University
801 22nd Street NW, Phillips Hall 107
Washington DC 20052

For additional information about the admissions process visit the Columbian College of Arts and Sciences Frequently Asked Questions page.

Contact for questions:

askccas@gwu.edu
202-994-6210 (phone)
Hours: 9:00 am to 5:00 pm, Monday through Friday

The following requirements must be fulfilled:

The general requirements stated under Columbian College of Arts and Sciences, Graduate Programs.

30 credits, including 12 credits in required core courses, 9 credits in selected quantitative courses, 3 credits in required skills courses, and 6 credits in elective courses.

Course List

Code	Title	Credits
Required
Core courses
QSS 6000	Seminar in Quantitative Social Science
QSS 6001	Data Visualization
QSS 6002	Probability and Statistical Modeling
QSS 6500	Capstone Research
Quantitative courses
Three courses (9 credits) selected from the following:
ECON 6335	Applied Financial Derivatives
ECON 6378	Machine Learning for Economics
PSC 8121	Causal Inference
or ECON 6379	Causal Inference and Research Design
or STAT 6230	Causal Inference
PSC 8124	Multilevel Modeling
PSC 8128	Surveys and Experiments
PSC 8185	Topics in Empirical and Formal Political Analysis
SOC 6291	Methods of Demographic Analysis
STAT 6217	Design of Experiments
STAT 6225	Longitudinal Data Analysis
STAT 6231	Categorical Data Analysis
STAT 6240	Statistical Data Mining
STAT 6250	A/B Testing (Design and Analysis)
STAT 6260	Statistical Deep Learning
STAT 6287	Sample Surveys
Skills courses
QSS 6005	Topics in QSS Technical Skills (taken twice for a total of 3 credits) *
Electives
Two courses (6 credits) selected from graduate courses in political science, sociology, statistics, or another program or department with the permission of the program’s director of graduate studies.

*Technical skills courses are six-week modules for 1.5 credits per module. Students must take two technical skills courses, focused on different skills, in the same semester. Options might include Python, SQL & Databases, Machine Learning, Bayesian Statistics, and More in R. A fourth quantitative course may be substituted for the skills requirement with the approval of the program’s director of graduate studies.