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Umeå University
Degree Project: Master of Science (one year) in Computing Science with specialization artificial intelligence
The student practices their ability to specify, plan, perform, and present an independent work. Through their work, the student integrates previous knowledge and immerses themselves in at least one Computing Science topic in Artifical Intelligence. The result of the work is presented in English both orally and in w…
- Higher education
- Information unavailable
- 25 March 2027
- Umeå
- Information unavailable
- 100 %
Overview
The student practices their ability to specify, plan, perform, and present an independent work. Through their work, the student integrates previous knowledge and immerses themselves in at least one Computing Science topic in Artifical Intelligence. The result of the work is presented in English both orally and in writing. The course is partitioned into two modules. **Module 1. Independent work (14 credits)** The student performs the degree project as an independent work, either within the scope of a research project at the university or a development project in industry. The work shall concern some form of problem solving and lead to the formation of new knowledge. Therefore, it must not only consist of routine programming. The work must lead to subject specialization in relation to some previously completed course on the advanced level and shall relate to current research. The specialization shall be within a Computing Science topic in Artificial Intelligence and be of relevance to the independent work. **Module 2. Presentation (1 credit)** The student presents their work in writing, in the form of a scientific report, and defends it orally, in the form of a public seminar. The student will also dispute someone else's work.
Admission scores
Entry requirements
To be admitted you must have a Bachelor's Degree and courses at the advanced level corresponding to 30 ECTS-credits out of which at least 15hp must be in Computing Science and include the following five courses (or equivalent): \- Fundamentals of Artificial Intelligence, \- Artificial Intelligence - Methods and Applications, \- Machine learning, \- Responsible Design of Interactive AI-Systems, \- and either Fundations of Logic and Model Theory, or Statistics for Engineers. Depending on the focus of the Degree Project some extra prerequisites might be needed. Proficiency in English equivalent to the level required for basic eligibility for higher studies.
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
- 2027-03-25
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.umu.5dv215.5700o.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 starts
- 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.5dv215.5700o.20271
- Offering identity in the source
- e.uoh.umu.5dv215.5700o.20271
- Education-form source code
- HS
- Education code in the source
- 5DV215
- Change time according to the source
- 2026-06-25T10:51:36
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.