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Linköping University
Data Science and Information Engineering, Master's Programme - Second admission round mainly for Swedish and EU/EEA students
<p>This competitive programme teaches methods for analysis, processing and transmission of large-scale data and signals, using tools from machine learning, signal processing, and information and communication theory. Choose among three specialisations: Images and Vision, Data Science, and Connectivity. The third sem…
- Higher education
- Information unavailable
- 26 August 2026
- Information unavailable
- Information unavailable
- 100 %
Overview
<p>This competitive programme teaches methods for analysis, processing and transmission of large-scale data and signals, using tools from machine learning, signal processing, and information and communication theory. Choose among three specialisations: Images and Vision, Data Science, and Connectivity. The third semester has a compulsory project course during which you learn about project management and apply your knowledge to solve a larger problem. The final semester is devoted to your thesis, which may be carried out in collaboration with a tech company. Linköping University has world-class research in computer vision, data science, and the development of 6G – the next-generation cellular network technology. As a student, you will be fully immersed in this environment. We can help put you in touch with groups and companies in these fields.</p>
Admission scores
Entry requirements
A bachelor's degree equivalent to a Swedish Kandidatexamen with a major in one of the following or equivalent subject areas: - electrical engineering - computer engineering - computer science - applied physics - mathematics 30 ECTS credits in mathematics/applied mathematics, including courses in linear algebra and probability theory A course in basic programming A course in signals and systems English corresponding to the level of English in Swedish upper secondary education (Engelska 6 eller Engelska nivå 2). Exemption from Swedish.
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
- 2026-08-26
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.liu.6mdsi.90107.20262
- Last checked
- 2026-09-23T10:38:02.783888+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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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.liu.6mdsi.90107.20262
- Offering identity in the source
- e.uoh.liu.6mdsi.90107.20262
- Education-form source code
- HS
- Education code in the source
- 6MDSI
- Change time according to the source
- 2025-11-14T16:33:54
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.