Marketing Analytics: Big Data and Predictions

Catalog description

Students learn specific data analytic methodologies such as predictive analytics, data mining, text mining, sentiment analysis, topic analysis and Big Data related applications. This course is largely practice oriented, with students learning experientially by being introduced to cutting-edge marketing analytical tools, and then applying them through in-class exercises and case analyses, generating data-driven managerial recommendations. Prerequisite(s): BUS Tier II Complete 11 (the following must be completed: ACC 2010, 2020; EC 2040, 2050; EC 1050 or MTH 2280; ENG 1100, 2100; FIN 2210; MKT 2500; MS 2040, 2050) Course Level: Undergraduate Schedule Type(s): Lecture Grade Mode: Standard