Statistical Methods for Data Science

Education facts

Code: MA660E

The purpose of the course is for the student to develop the ability to use methods from mathematical statistics (probability theory and inference theory) to understand random variations and identify patterns in the data collected. The student also achieves general basic understanding of the field of data science.

Entry requirements

1. Bachelor of Science (at least 180 higher education credits) in computer science or related subjects such as mathematics, informatics, telecommunications, electrical engineering, physics. 2. Knowledge equivalent to English 6 at Swedish upper secondary level. 3. At least 15 credits in programming. 4. At least 7.5 credits in mathematics.

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.

• Statistical Methods for Data Science

  Malmö University

  MALMÖ

  Start date: 31 August 2026

  End date: 8 November 2026

  Pace of study: 50 %