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Umeå University
Master's Programme in Artificial Intelligence
Do you want to contribute to the current transformation of our digital society as an artificial intelligence specialist? The Master's programme in Artificial Intelligence gives broad knowledge in AI and deepened knowledge in profile areas such as theoretical foundations of artificial intelligence, human-AI interacti…
- Higher education
- Information unavailable
- 18 January 2027
- Umeå
- Information unavailable
- 100 %
Overview
Do you want to contribute to the current transformation of our digital society as an artificial intelligence specialist? The Master's programme in Artificial Intelligence gives broad knowledge in AI and deepened knowledge in profile areas such as theoretical foundations of artificial intelligence, human-AI interaction, intelligent robotics, machine learning or data science. Following your degree you can pursue a research career or a career as an AI specialist in industry or the public sector.
Admission scores
Entry requirements
A Bachelor's degree or equivalent first-cycle qualification comprising at least 180 ECTS or a corresponding qualification from an internationally recognised university. Specific entry requirements are at least 90 ECTS in the field of Computer Science, or at least 90 ECTS in the field of Mathematics or Mathematical Statistics, or equivalent. At least 30 ECTS must be in the subject of Computer Science and include courses in Programming Methodology, Data Structures and Algorithms. At least 22,5 ECTS must be in the subject of Mathematics including courses in Calculus and Linear Algebra. At least one course must be in either Formal Logic or Mathematical Statistics. Proficiency in English equivalent to Swedish upper secondary course English 6/level 2.
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
- 2027-01-18
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.umu.taaim.s5023.20271
- Last checked
- 2026-09-23T10:39:35.037285+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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- Programme or course ends
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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.umu.taaim.s5023.20271
- Offering identity in the source
- e.uoh.umu.taaim.s5023.20271
- Education-form source code
- HS
- Education code in the source
- TAAIM
- Change time according to the source
- 2026-09-22T08:00:42
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.