FNCE 6372

Time-Series Forecasting

Students learn forecasting methodologies such as ARIMA, regression, smoothing, and time-series decomposition applicable to marketing, finance, accounting, human resources management, and supply chain and production management decision-making. This course focuses on practical applications of forecasting techniques, choosing and comparing appropriate methods and applying the results to workplace situations. If you do not meet the prerequisites you may contact the instructor for permission to register. Restriction: Restricted to graduate majors and NDGR majors with a sub-plan of NBA within the Business School.

Units: 3.0

Hours: 3 to 3