This course covers multivariate statistical analyses that are important for applications in all fields of management as finance, production, accounting, marketing, strategy, technology or human resources management. It is especially designed to provide students with a knowledge of the basic concepts underlying the most important multivariate techniques and with an overview of actual applications in various fields. In particular, in the course are presented models for the analysis of dependence (linear regression, ANOVA, autoregressive model, logit and probit model,) and exploratory techniques for data reduction (principal component analysis and clustering analysis).