Master's Programme 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.
Education occasions
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.
Programme content
The courses listed below are included in the programme starting autumn 2024.
* included in the programme main area Computer Science and Engineering.
Year 1
Compulsory courses:
- 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 *
Elective course:
- Real-time Embedded System, 7.5 credits*
- Python – a Gateway to Machine Learning, 7.5 credits*
- Robotics, 7.5 credits *
- Embedded Parallel Computing, 7.5 credits *
Year 2
Compulsory courses:
- Design of Embedded and Intelligent Systems, 15 credits *
- Thesis, 30 credits *
Elective courses:
- Real-Time Embedded Systems, 7.5 credits *
- Testing and Verification of Embedded Systems, 7.5 credits *
- Data Mining, 7.5 credits *
- Deep Learning, 7.5 credits *
- Computer Vision in 3D, 7.5 credits *
- Dependable and Real-time Data Communication, 7.5 credits *
After the education
Degree
The programme leads to a Degree of Master of Science with a major in Computer Science and Engineering.
Career
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.
Potential positions after graduation:
- AI Engineer
- Data Analyst/Engineer/Scientist
- Embedded Engineer
- IT Team Leader/Program Manager
- Robotics Software Engineer
- Software Engineer/Developer/Programmer/Consultant
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.
Contact
- 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
