Multivariate Statistical Analysis

Education facts

Code: 2ST125

This course provides you with the foundations of basic multivariate statistical procedures, particularly focusing on analysis techniques (using R software) to handle real data. It includes the extension of univariate methods to the multivariate level such as multivariate regression and multivariate analysis of variance, as well, as one- and two-sample inference for mean vectors and covariance matrices. It further extends to essentially multivariate techniques such as principal components analysis, canonical correlation analysis, classification analysis etc. After taking this course, you are expected to be able to handle, analyse and interpret multivariate data of small to moderate dimensions in real-life problems.

Entry requirements

120 credits including 90 credits in statistics, or 120 credits including 60 credits in statistics and 30 credits in mathematics and/or computer science. 7.5 credits linear algebra.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Multivariate Statistical Analysis

  Uppsala University

  Uppsala

  Start date: 18 January 2027

  End date: 24 March 2027

  Pace of study: 50 %