Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for versions prior to Fall 2000.

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MKT 823  Applications in Predictive Analytics

Semester:
Fall of every year
Credits:
Variable from 1 to 3
Prerequisite:
MKT 819
Recommended Background:
Previous coursework in marketing, marketing research, and predictive models used in marketing
Restrictions:
Open to MBA students in the Eli Broad College of Business and The Eli Broad Graduate School of Management or in the Marketing Research major or approval of department.
Description:
Advanced quantitative methods for marketing research. Focuses on marketing research methods for enhancing predictive models in marketing research. Includes multivariate statistical methods such as factor analysis, cluster analysis, multidimensional scaling, conjoint analysis, and other approaches. Emphasis on applications of these techniques using statistical analysis software.
Effective Dates:
FALL 2018 - Open