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Malmö University
Computer Science: Applied Data Science, Master's Program (Two-Year)
This two-year master’s programme provides 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. The goal is to develop the right tools to extract the full value from the ever-increasing growth of digital da…
- Higher education
- Information unavailable
- 30 August 2027
- MALMÖ
- Information unavailable
- 100 %
Overview
This two-year master’s programme provides 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. The goal is to develop the right tools to extract the full value from the ever-increasing growth of digital data. 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. Data Science is an emerging and multidisciplinary field that requires knowledge and skills in subjects such as computer science, mathematics and communication technologies. During this programme, you will get a comprehensive understanding of the fundamental aspects of data modelling, computational techniques and statistical analysis. You will apply these skills to real-world problems and build a portfolio of projects demonstrating solutions to current business and societal challenges. You will have the opportunity to conduct original and innovative research, working with industry partners and academia during the capstone project course and thesis work. The programme is built around an international research environment at Malmö University. The teaching staff includes experts in artificial intelligence, data processing and analysis, software development for big data and cloud architectures, modern software methodologies, and data visualisation.
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 at university level. 4. English 6 Or English 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
- 2027-08-30
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.mau.tacas.78950.20272
- 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.78950.20272
- Offering identity in the source
- e.uoh.mau.tacas.78950.20272
- Education-form source code
- HS
- Education code in the source
- TACAS
- Change time according to the source
- 2026-08-18T09:45:27
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.