•  To provide a deep understanding of the theory and 
   application of multivariate statistical techniques to the 
   development and empirical testing of theoretical models in 
   marketing research.

•  To ensure that each PhD student is able to intelligently 
   critique published empirical journal articles in terms of 
   the reliability and validity of the quantitative methods  
   and procedures applied to their conceptual 
   models.

•  To require each PhD student to develop and present an in- 
   depth research paper presenting a conceptual model and a  
   suitable research plan for empirically testing the model. 

•  To provide each PhD student the opportunity to employ and
   interpret a variety of multivariate statistical techniques  
   to analyze several pre-existing data sets using the most 
   recent computer models and programs

Introduction to Vectors and Matrix algebra
Introduction to Multivariate Data
Principal Component and Factor Analysis
Cluster Analysis
Multidimensional Scaling
Correspondence Analysis
Discriminant Analysis
Logistical Regression and Conjoint Analysis
Multivariate Analysis of Variance