Data analysis, clustering and classification

Education facts

Code: MAA512

The goal of the course is to give knowledge of different methods for solving clustering and classification problems within data analysis. The course is intended to give both understanding of how the methods work as well as give training into how these methods can be used in different practical problems and applications. The course will present concrete examples of applications where clustering and classification appears and give examples of other aspects of data analysis, such as evaluation of results and common data transforms.

Entry requirements

Linear algebra, 7.5 credits or Applied matrix analysis, 7.5 credits or the equivalent and Probability Theory and Statistical Inference, 7.5 credits or the equivalent and Fundamentals of programming, 7.5 credits or the equivalent. In addition, Swedish course 3 or Swedish level 3 and English course 6 or English level 2 are required. For courses given entirely in English exemption is made from the requirement in Swedish course 3 or Swedish level 3.

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.

• Data analysis, clustering and classification

  Mälardalen University

  Start date: 31 August 2026

  End date: 8 November 2026

  Pace of study: 50 %