MKT 4690 - Marketing Analytics: Big Data and Predictions

Credit Hour(s): 3
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): Undergraduate level ACC 2020 Minimum Grade of D and Undergraduate level FIN 2210 Minimum Grade of D and Undergraduate level MKT 2500 Minimum Grade of D and Undergraduate level MS 2050 Minimum Grade of D and BUS Tier II Complete 11
Level: Undergraduate
Schedule Type(s): Lecture