Master's Programme in Embedded and Intelligent Systems

About the education

Innovative environments, methods and tools

The education at Halmstad University is characterised by our profiling as a university that drives innovation. This programme is strongly linked to the University's research in AI and autonomous vehicles. The focus is on the development of software for embedded AI systems such as robots.

Many of the programme's technical courses are project-based and give you the opportunity to immerse yourself in current international research. Applications for autonomous vehicles feature in several parts of the programme.

Courses and competencies in focus

In the Master's programme in Embedded and Intelligent Systems, you build up theoretical and practical skills for research, design and development of embedded intelligent systems. You can also obtain in-depth knowledge of robotics, embedded AI, autonomous vehicles, real-time computer systems, learning systems, computer vision and signal analysis, sensor systems, parallel computing, testing, data mining, and deep learning. Although you will learn about embedded systems like robots, this programme does not focus on electronics or hardware. Rather, the focus is on computer software, so you will require good programming skills.

In the first semester, you take courses in the programme's main field of study, computer technology, brushing up on some fundamentals of programming, math, artificial intelligence, and communication systems. In the second and third semester, you choose courses which focus on intelligent systems or embedded systems or both. In the third semester, all students take the project course Design of embedded and intelligent systems. In this course, you will participate in a larger project where you will contribute with the specialised knowledge and skills you have accumulated.

The programme is conducted in English.

Specialise with elective courses

From the second semester, you will learn about intelligent vehicles, machine learning, and image analysis. You will also be able to choose more specialised electives in robotics or embedded parallel computing.

Collaboration opportunities

The programme is carried out in collaboration with industry. In the degree project, which is done during the third and fourth semesters, most students collaborate with one of our research groups, often with an industrial connection.