MGT 4270 - Business Analytics

(3) Credit Hours

This course covers analytical modeling used to analyze current and historical data to understand and predict potential risks and opportunities for a business. The topics covered include various data mining models such as Discriminant Analysis, K Nearest Neighbor algorithm, Logistic Regression, Decision Trees, and Neural Networks. These techniques will be examined in the context of various business applications such as healthcare, marketing, finance, and retailing.Spring semester.Prerequisites: MGT 2140 with a C or better or department head approval. Junior standing.Differential Course Fee will be assessed.Standard Letter Grade