This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
Halmstad University
Master's Programme in Information Technology - Data Science, AI and Machine Learning
Som informationsteknolog kan du vara med och lösa många av framtidens samhällsutmaningar inom till exempel autonoma fordon och hälso- och sjukvård. Masterprogrammet utvecklar dina kunskaper i informationsteknologi med fokus på data science, maskininlärning och artificiell intelligens (AI).
- Higher education
- Information unavailable
- 31 August 2026
- Information unavailable
- Information unavailable
- 100 %
Overview
Som informationsteknolog kan du vara med och lösa många av framtidens samhällsutmaningar inom till exempel autonoma fordon och hälso- och sjukvård. Masterprogrammet utvecklar dina kunskaper i informationsteknologi med fokus på data science, maskininlärning och artificiell intelligens (AI).
Admission scores
Entry requirements
Degree of Bachelor of Science in Engineering or Degree of Bachelor of Science in an engineering subject. 90 credits in computer engineering, computer science or electrical engineering including 15 credits programming in generic languages (e.g., Python/C/C++/Java/Matlab or similar) and thesis 15 credits. 30 credits mathematics or linear algebra and calculus. The degree must be equivalent to a Swedish kandidatexamen or Swedish högskoleingenjörsexamen and must have been awarded from an internationally recognised university. Applicants must have written and verbal command of the English language equivalent to English 6 or English level 2 in Swedish Upper-Secondary School.
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.hh.tadam.93010.20262
- Last checked
- 2026-09-23T10:37:30.869721+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.hh.tadam.93010.20262
- Offering identity in the source
- e.uoh.hh.tadam.93010.20262
- Education-form source code
- HS
- Education code in the source
- TADAM
- Change time according to the source
- 2025-10-07T16:23:43
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.