The course consists of three parts. Part I extends and generalises the statistical concepts and techniques acquired in the first year. Attention is paid to association measures and tests (including the distinction between association and causality), bivariate regression, and the estimation and testing of parameters in a multivariate context. Part II is an introduction to econometric methods. The multiple regression model, which is introduced as a natural extension to the bivariate model, is further expanded towards models with categorical variables, autocorrelation, heteroscedasticity and instrumental variables. Part III provides an introduction to the (remaining) multivariate methods: variance analysis, classification techniques (discriminant analysis and logistic regression) and data reduction techniques (factor analysis and cluster analysis). All the techniques discussed in the course are illustrated by means of applications in (business) economics and technology. The course involves the use of the statistical software package JMP.