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.
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.
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.