This course covers key concepts related to predictive and prescriptive analytics by combining information technologies and statistical techniques to extract meaning from organizational data. The course includes hands-on work with data and software. Topics covered include data manipulation, decisions under uncertainty, and decision analytics tools (linear and nonlinear optimization). Students apply predictive and prescriptive analytics techniques in order to understand the business environment and guide business-related decisions. Fall even years. Prerequisite: BUSN 260 Business Analysis Tools; must be a junior or senior or have permission from the instructor.