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Malmö University
Computer Science: Internet of Things, Master's Programme (Two-Year)
The programme will deepen students' knowledge of and skills in computer science and research methods relating to the Internet of Things (IoT). The programme includes key elements throughout the IoT value chain and covers technical aspects relevant to future developers of IoT systems. It also looks at human factors,…
- Higher education
- Information unavailable
- 30 August 2027
- MALMÖ
- Information unavailable
- 100 %
Overview
The programme will deepen students' knowledge of and skills in computer science and research methods relating to the Internet of Things (IoT). The programme includes key elements throughout the IoT value chain and covers technical aspects relevant to future developers of IoT systems. It also looks at human factors, as well as innovation and business models. The programme will build on the students' knowledge from undergraduate level education, for example through specialisation in the IoT. Students will study and apply methods and techniques used by experts in IoT systems working at the forefront of research. Students will use techniques in a variety of areas such as prototype development, user experience, artificial intelligence, data management, software architectures, security, innovation and business models. They will put their knowledge into practice by working on real IoT challenges both in the industry and society at large. In this way, students will build up a repertoire of tools, as well as the ability to determine how to use them to solve specific problems.
Admission scores
Entry requirements
1. Bachelor of Science in Engineering (at least 180 credits) or a bachelor’s degree in computer science or related fields such as computer engineering, computer and information science, software engineering, informatics, telecommunications or electrical engineering. 2. At least 15 credits in programming, system development or equivalent. 3. 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.taiot.78953.20272
- 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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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.taiot.78953.20272
- Offering identity in the source
- e.uoh.mau.taiot.78953.20272
- Education-form source code
- HS
- Education code in the source
- TAIOT
- Change time according to the source
- 2026-05-27T13:53:16
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.