This course concerned with statistical methods designed to elicit information, data reduction, sorting and grouping similar objects or structural simplification from the data sets including simultaneous measurements on many variables. Through the explanation of empirical problems in business, several applications of multivariate techniques will be introduced like as MANOVA, principal components analysis, factor analysis, canonical correlation analysis, discrimination analysis, clustering analysis, and multidimensional scaling method. Achieving objectives of this course contributes construction of research structure and interpretation of analyses results.