Course Descriptions and Schedule
Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.
MSDS 450-DL : Marketing Data Science
Description
This course introduces algorithms and methods for digital marketing. It reviews the strategic marketing process, and the design of marketing surveys and experiments, including online testing of marketing messages. Students explore methods for understanding consumer preferences, market segmentation and target marketing, product design, search engine optimization, dynamic pricing, effects of advertising and promotion, recommender systems, and competitive intelligence. This is a case study course that requires active participation in weekly class discussions.
Recommended prior courses: MSDS 410-DL Supervised Learning Methods and MSDS 411-DL Unsupervised Learning Methods.
Prerequisites: (1) MSDS 420-DL Database Systems or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.
*Prior to spring 2025, this course was titled, "Marketing Analytics."
Spring 2025 | ||||
Start/End Dates | Day(s) | Time | Building | Section |
03/31/25 - 06/13/25 | Sync Session M | 7 – 9:30 p.m. | 55 | |
Instructor | Course Location | Status | CAESAR Course ID | |
Chaturvedi, Anil | Online | Open |