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Programme syllabus

Autumn 2026

Programme syllabus, Autumn 2026

Title

Computer Science: Internet of Things, Master's Programme (Two-Year)

Swedish title

Datavetenskap: Internet of Things, masterprogram

Programme code

TAIOT

Credits

120 credits

Language of instruction

English

Decision-making body

Faculty of Technology and Society

Syllabus valid from

2026-08-31

Programme establishment date

2023-05-09

Syllabus approval date

2025-06-17

Level

Master's level

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. Equivalent of English 6 in secondary school.

Programme structure

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.

Programme contents

Semester 1, Autumn 2026

Introduction to IoT
DA640E, 15 credits (compulsory)
Main field of study: Computer Science
IoT Prototyping and User Experience
DA641E, 15 credits (compulsory)
Main field of study: Computer Science

Semester 2, Spring 2027

AI and Data Management for IoT
DA642E, 15 credits (compulsory)
Main field of study: Computer Science
Software Architecture and Security for the IoT
DA643E, 15 credits (compulsory)
Main field of study: Computer Science

Semester 3, Autumn 2027

Innovation and Business Models for IoT
DA644E, 7.5 credits (compulsory)
Main field of study: Computer Science
Research methodology
DA648E, 7.5 credits (compulsory)
Main field of study: Computer Science
IoT Innovation Project
DA646E, 15 credits (compulsory)
Main field of study: Computer Science
DA646E IoT Innovation Project, is within the main field of computer science. The course is not compulsory for, but can be included in, the degree requirements for a Master of Science in Computer Science.

Semester 4, Spring 2028

Master’s thesis in IoT (two year)
DA647E, 30 credits (compulsory)
Main field of study: Computer Science

Qualitative targets

Knowledge and understanding

For a master's degree in computer science, the student must:

Skills and abilities

For a master's degree in computer science, the student must:

Qualitative targets

Judgement and approach

For a master's degree in computer science, the student must:

Degree

Master’s degree with the main field of computer science (120 credits).

The master's degree is achieved once the student has completed the course requirements of 120 credits, of which all compulsory courses in the programme must be completed, including a degree project of at least 30 credits. In addition, the student must have a bachelor's degree, a professional qualification of at least 180 credits, or an equivalent foreign degree.

Additional information

The prerequisites for admission to each individual course are provided in the respective syllabi.

A decision to discontinue a programme will result in the programme syllabus ceasing to be valid. However, students will have the opportunity to complete their studies within the nominal period of study(calculated from the last admission to the programme's first semester) andduring at least the following two semesters, known as the ’discontinuation period’.

This document is a translation of a Swedish source text.