BANA 6630 - 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. Prereq: BANA 6610 or FNCE 6290 or BUSN 6530– BUSN 6530 must be completed with a Grade of A- (3.7). Restrictions: Restricted to graduate majors and NDGR majors with a sub-plan of NBA within the Business School. Cross-listed with FNCE 6372. Note: Can only receive credit for either BANA 6630/DSCI 6230 or FNCE 6372. Max hours: 3 Credits. Semester Hours: 3 to 3