This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Karlstad University
Data Protection and Artificial Intelligence
The course covers the most relevant definitions and basics in both data protection and artificial intelligence, particularly regarding machine learning models based on personal training data. Special emphasis is placed on the various approaches to identifying and managing privacy-related risks when using algorithms…
- Higher education
- Information unavailable
- 31 August 2026
- Karlstad
- Information unavailable
- 10 %
Overview
The course covers the most relevant definitions and basics in both data protection and artificial intelligence, particularly regarding machine learning models based on personal training data. Special emphasis is placed on the various approaches to identifying and managing privacy-related risks when using algorithms for artificial intelligence, as well as the legal requirements for IT systems using AI components, such as machine learning models or large language models. There is a focus on European and Swedish national legislation.
Admission scores
Entry requirements
30 ECTS credits in Computer Science or three years of work experience in the IT sector, plus upper secondary level English 6 or B, or equivalent
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.kau.dvad36.55033.20262
- Last checked
- 2026-09-23T10:37:50.445791+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.kau.dvad36.55033.20262
- Offering identity in the source
- e.uoh.kau.dvad36.55033.20262
- Education-form source code
- HS
- Education code in the source
- DVAD36
- Change time according to the source
- 2026-03-03T14:09:46
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.