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This course focuses on the application of data analytics in marketing decision making (e.g., segmentation, sales forecasting, and resource allocation). Students will learn to apply statistics and econometrics to solve marketing problems. Key topics in this course include marketing data visualization, marketing metrics, descriptive and predictive analytics, and digital marketing analytics. This course takes a very hands-on approach with real-world databases and equips students with tools that can be used immediately on the job. (Cross-listed with BSAD 8396).

Prerequisite(s): MKT 3310 with 'C+' or better; BSAD 2130 or BSAD 3140 or BSAD 3160 with 'C' (2.0) or better; GPA of 2.5 or better; or permission of instructor. Not open to non-degree graduate students.