MARK 312 - Marketing Analytics

3 units (fi 6)(EITHER, 3-0-0)

Students are introduced to the scientific process of transforming data into insight for making better marketing decisions. Topics include: data-driven problem solving; design of surveys, focus groups, and experiments; analytical techniques for primary, secondary, and qualitative data; and machine learning basics. The course is taught as an end-to-end process, starting from problem framing, data collection, method selection, model building, and deployment. Applies Excel and open-source data analysis software. Advanced students can build on this course to prepare for taking the INFORMS CAP (Certified Analytics Professional) Exam. Prerequisite: MARK 301.

MARK 488 - Selected Topics in Marketing

3 units (fi 6)(EITHER, 3-0-0)

Normally restricted to third- and fourth- year Business students. Prerequisites: MARK 301 or consent of Department. Additional prerequisites may be required.

MMA 608 - Business Applications of Artificial Intelligence

3 units (fi 6)(SECOND, 3-0-0)

This comprehensive course, co-taught by a panel of expert instructors, aims to provide students with an in-depth understanding of how artificial intelligence (AI) technologies are applied in real-world business settings. It introduces students to a range of AI applications across different industries and functional areas, highlighting the transformative potential of AI in driving innovation, improving operational efficiency, and creating competitive advantages. Restricted to students registered in the MMA Program. Non-MMA students require consent of home dept and the Masters Programs Office.