Master's Programme (120 credits) in Embedded and Intelligent Systems
As a specialist in embedded and intelligent systems, you will have specialist technical expertise, research experience and good career opportunities after graduation. This master’s programme provides both practical and theoretical knowledge of embedded and intelligent systems, an area that Halmstad University has successfully taught and researched for many years.
About the education
Innovative environments, methods and tools
The education at Halmstad University is characterised by our profiling as a university that drives innovation. As the teaching is conducted by active researchers, you will be in close contact with the university's research.
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 also obtain in-depth knowledge of computer architecture, communications systems, real-time computer systems, signal analysis, sensor systems, learning systems, data mining and control technology.
In the first semester, you take courses in the programme's main field of study, computer technology. 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 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.
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.
Bachelor's degree (equivalent of 180 Swedish credit points / ECTS credits at an accredited university) in an engineering subject or in computer science. Courses in computer science, computer engineering or electrical engineering of at least 90 higher education credits, including thesis. Courses in mathematics of at least 30 higher education credits or courses including calculus, linear algebra and transform methods. Applicants must have written and verbal command of the English language equivalent to English course 6 in Swedish Upper-Secondary School.
Please note that this programme also requires you to be able to write computer programs. Therefore, applicants are expected to have had some experience with programming before entering the programme.
The courses listed below are included in the programme starting autumn 2022. Click on a linked course to search for the course syllabus, including course literature. Please note that you need to scroll down the page to find the syllabus.
* included in the programme main area Computer Science and Engineering.
- Python – a Gateway to Machine Learning, 7.5 credits *
- Networks for Embedded Systems, 7.5 credits *
- Artificial Intelligence, 7.5 credits *
- Engineering Mathematics, 7.5 credits
- Learning Systems, 7.5 credits *
- Intelligent Vehicles, 7.5 credits *
- Image Analysis, 7.5 credits *
- Robotics, 7.5 credits *
- Embedded Parallel Computing, 7.5 credits *
- Design of Embedded and Intelligent Systems, 15 credits *
- Thesis, 30 credits *
- Real-Time Embedded Systems, 7.5 credits *
- Testing and Verification of Embedded Systems, 7.5 credits *
- Data Mining, 7.5 credits *
- Thesis, 30 credits *
- Computer Vision in 3D, 7.5 credits *
- Dependable and Real-time Data Communication, 7.5 credits *
After the education
The programme leads to a Degree of Master of Science with a major in Computer Science and Engineering.
Opportunities for further studies
After completing the programme, you are qualified to apply for doctoral and PhD level studies, for example in the University's third cycle courses.
The Master's programme in Embedded Intelligent Systems prepares you for advanced development work in industry. This may involve developing advanced computer technology applications in areas such as robotics and transport, data science and artificial intelligence, telecommunications, testing and embedded software development or health technology.
Computer technology has an important role in the media and entertainment industry as well. Another possible area of work is the security that allows people to feel confident when using products and services based on computer technology.
- Questions about entry requirements, selection and admissions – Contact the Student Affairs Department
- Questions about the content of the education – Contact the Programme Director: Contact details can be found in the education information box.
- Questions regarding studies and career opportunities – Contact Study and Career Guidance
Bachelor of Science degree (equivalent of 180 Swedish credit points / ECTS credits at an accredited university) in an engineering subject or in computer science. Courses in computer science, computer engineering or electrical engineering of at least 90 higher education credits, including thesis. Courses in mathematics of at least 30 higher education credits or courses including calculus, linear algebra and transform methods. Applicants must have written and verbal command of the English language equivalent to English course 6 in Swedish Upper-Secondary School.
Selection is made on the basis of the required educational background.
Language of instruction:
Teaching is in English.
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