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Malmö University
Computer Science: Applied Data Science, Master's Program (Two-Year)
We are living through a time of immense digital transformation. In order to benefit society, science and businesses, we need to develop the right tools to extract the full value from the ever-increasing growth of digital data. This interdisciplinary two-year master’s programme will provide you with understanding of…
- Higher education
- Information unavailable
- 1 September 2025
- Information unavailable
- Information unavailable
- 100 %
Overview
We are living through a time of immense digital transformation. In order to benefit society, science and businesses, we need to develop the right tools to extract the full value from the ever-increasing growth of digital data. This interdisciplinary two-year master’s programme will provide you with understanding of the state-of-the-art methods and algorithms of data science through hands-on experience with the latest tools and systems in the industry. After graduation, you will be qualified to work in a range of positions in data-centred projects as well as pursue PhD studies in data science.
Admission scores
Entry requirements
1. Bachelor's degree or master's degree (at least 180 credits) in computer science or related topics such as mathematics, informatics, telecommunications, electrical engineering, or physics. 2. At least 15 credits in programming. 3. At least 7.5 credits in mathematics. 4. The equivalent of English 6 at Swedish upper secondary level.
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
- 2025-09-01
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.mau.tacas.58812.20252
- Last checked
- 2026-09-23T10:38:40.372484+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.mau.tacas.58812.20252
- Offering identity in the source
- e.uoh.mau.tacas.58812.20252
- Education-form source code
- HS
- Education code in the source
- TACAS
- Change time according to the source
- 2025-04-28T10:18:48
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.