Multivariate analysis is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical outcome variable at a time. The classical topics of multivariate analysis are covered in this course, including inferences of means and covariance matrices, canonical correlation, discriminant analysis, multivariate ANOVA, principal components analysis, and factor analysis. Students should seek instructor's approval to take this course.