The Applied Multivariate course caters to two objectives. On one hand it extends the usual univariate statistical methods to several dependent variables. On the other, it develops techniques which are peculiar to several variable studies only. In the former the discussions are on multivariate distributions, multivariate testing, multivariate linear models, including multivariate regression and multivariate ANOVA. The latter introduces grouping techniques like Cluster Analysis and Classification problems, dimension reduction methods like principal Component Analysis and Factor Analysis, and several such topics. The course is a mix of basic theory and their applications and is likely to be useful for both postgraduate students of Statistics and also students of other disciplines who uses statistical methods for their analyses.