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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

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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.

Programme content

Uppgift saknasVerified data is not connected to this education offering.

Study structure

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Application and important dates

  1. Programme or course starts
  2. Programme or course ends

Salary and salary distribution

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Common occupations after graduation

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Students

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Geographical background

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Previous upper-secondary schools and programmes

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Completion and outcomes

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About the provider

Malmö University

Provider for the published education offering.

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.