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Experts in statistical 
methodology and solutions
Balancing theory with practical application


Who We Are

Problem-solving through the use of methodology, data analysis and application of statistical concepts is critical to addressing today's real-world challenges in science, medicine, technology, business, public policy and more. At the GW Department of Statistics, undergraduate and graduate students are mastering the skills needed for in-demand jobs in data science, artificial intelligence, predictive analytics and economic forecasting — to name just a few.

Drawing on faculty expertise and collaborations with Washington, D.C., think tanks and government agencies, the department delves deeply into theoretical and applied research. And our alumni are excelling at institutions ranging from the FBI and the National Institutes of Health to Fannie Mae and Amazon.


CCAS Graduate Programs Virtual Open House with GW blue chevron background and DC skyline

Join the Graduate Programs Virtual Open House: October 19–30

Registration is now open for GW's 2026 Columbian College of Arts and Sciences (CCAS) Graduate Programs Open House! The virtual event features program-specific information sessions and opportunities to interact with current graduate students, faculty and our admissions team. Attendees will receive an application fee waiver.

The Women's, Gender, and Sexuality Studies Program will host a virtual information session for prospective graduate students on Friday, October 23.

Registration and Details


 

“I have only positive things to say about the Statistics program at GW. Statistics is a great major for anyone looking for a new and practical way to view the world.”

Nandhish Nuchina
BS '09

 

MS in Statistics Info Session: November 13

Join us for an online info session discussing the field of statistics and the GW's Master of Science in Statistics program.

Register to Attend


What We Offer

 


Spotlight on GW Statistics

icsa

Three PhD students have received poster awards of the 2026 ICSA Applied Statistics Symposium!

Congratulations to our PhD students (Han Su, Ziji Qin, Zeyu Yang) who have received poster awards of the 2026 ICSA Applied Statistics Symposium!