Applied Quantitative Risk Analysis

Uncertain events pervade all aspects of life. During the last decade, we have felt the impact of natural and manmade disasters, such as 9/11, Katrina, and the global economic meltdown. The result: risk analysis has moved to the forefront of study as managers, analysts, and executives in both the public and private sectors are increasingly asked to devise strategies and implement decision tools for the mitigation of risk.

Meeting the Demand

A new Graduate Certificate Program in Applied Quantitative Risk Analysis—housed in GW's Columbian College of Arts and Sciences' Department of Statistics—addresses these challenges with courses designed to enable the development of relevant and defensible toolkits for rational decision-making.

Broad-based Analysis

The program's curriculum has been created with practicing and aspiring professionals in mind. It consists of four, three-credit courses. Two foundational courses provide comprehensive background in probabilistic models, statistical inference, and essentials of risk analysis abstracted from Reliability and Risk: A Bayesian Approach and publications from GW's Institute for Reliability and Risk Analysis. The remaining courses focus on application of risk analysis in different domains, including case studies built around the 9/11 experience and current issues concerning the environment, health, and financial markets.

Flexible Schedule/Accessible Location

  • Classes, taught by faculty and practicing professionals, meet on weekday evenings
  • Conveniently located in Arlington, walking distance from the Ballston Metro
  • Certification completed in two semesters, or paced over four semesters

Information Session

Monday, April 30, 6:00 pm

GW Graduate Education Center
950 N. Glebe Road, Suite 600
Arlington, VA 22203

Nearest Metro: Ballston on Orange line

RSVP Today!
Call 202.994.0197 or email jchandra@gwu.edu

Still time to apply for fall enrollment!

Contact Us

Deputy Director
Professor Jagdish Chandra
(202) 994-0179
jchandra@gwu.edu