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BSAN 6450 Predictive Analytics and Forecasting 3.0 Credits

This course provides specialized expertise in forecasting and predictive analytics. Students will master the statistical methods and models used to predict future trends and outcomes, with a strong emphasis on time-series analysis. The curriculum covers techniques from classical smoothing and ARIMA models to more advanced predictive methods. The primary objective is to learn how to build, evaluate, and deploy accurate and reliable forecasting models. For any business, the ability to anticipate future demand, market shifts, and financial performance is critical. This course provides the tools to improve planning, optimize inventory, and make proactive strategic decisions.

College/Department: Bennett S. LeBow Coll. of Bus./Decision Sciences
Repeat Status: Not repeatable for credit
Prerequisites: (BSAN 6200 [Min Grade: C] and BSAN 6250 [Min Grade: C] and MIS 6300 [Min Grade: C] and STAT 6100 [Min Grade: C]) or (MIS 632 [Min Grade: C] and STAT 610 [Min Grade: C])