AEP-MSAEPA - Applied Economics and Predictive Analytics

Program Website

The M.S. in applied economics and predictive analytics degree is designed to help meet the burgeoning demand for analytics training on the part of business, government and nonprofits. This degree focuses on economic analysis and decision-making along with strong quantitative training, and brings additional skills not typically provided in analytics programs found in statistics, engineering or business programs. Predictive analytics refers to the process of building models that predict consumer behaviors under different circumstances and help customize product offerings that better suit the tastes and preferences of consumers; predictive analytics also refers to building models to predict time series variables of importance to businesses and governments (e.g., product sales and tax revenues) and to evaluate competing government programs and business strategies. The M.S. is a 30 credit hour degree.