Multivariate Methods

The course covers the following subject areas:

-matrix algebra and multivariate normal distribution,

-cluster analysis and discriminant analysis,

-principal component analysis, factor analysis and canonical correlation.

Progressive specialisation: G1F (has less than 60 credits in first‐cycle course/s as entry requirements)

Education level: Undergraduate level

Admission requirements: A minimum of 30 credits in Statistics.

Selection: Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.