Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

6211. Multivariate Analysis in Marketing

3.00 credits

Prerequisites: None.

Grading Basis: Graded

This course provides an overview of multivariate statistical methods in marketing. Students learn multivariate statistical techniques such as discriminant, canonical, cluster, and factor analysis; multidimensional scaling; conjoint; and logit, probit, and tobit analysis. Students gain hands-on experience using these techniques for marketing applications.

No classes found.