Antagningsdata

Choose region and language

Choose the language for the entire website.

Published education catalogue

Data Science: Theory, Practice and Societal Implications

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: DT8063

The purpose of the course is that the student should acquire an overview of the data science area, and how products and services in this area affects society with respect to ecology (environment), ethics and economy. In addition, the student shall develop skills in different types of collaboration forms and strategies for effective communication related to data science.

Entry requirements

Degree of Bachelor of Science in an engineering subject or Degree of Bachelor of Science in Engineering. The degree must be equivalent to a Swedish kandidatexamen or Swedish högskoleingenjörsexamen and must have been awarded from an internationally recognised university. Courses in computer science, computer engineering or electrical engineering of at least 90 credits, including thesis. Courses in mathematics of at least 30 credits or courses including calculus, linear algebra and transform methods. English 6 or English level 2. Exemption of the requirement in Swedish is granted for those with foreign grades.

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.

Source and updates

Skolverket Susa-navet

Retrieved: .

Published: .

Show source version

Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

Checksum: 1b0dc54c0fc8a359f83ba9dc8f9d468479ce432de4c03bce3b8b33dd67fe3f6c

Last changed according to the source: 2026-03-12T11:57:25