Master's Programme (120 credits) in Embedded and Intelligent Systems

120 credits

This is an education for students wanting technical specialist competence, research experience and good career opportunities after their education.

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 Intelligent Systems, you build up theoretical and practical skills for research, development and the practical design 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 joint courses in the programme's main field of study, computer technology. In the second semester, you choose one of two specialisation packages that build on the introductory courses from the first semester.

In the third semester, all students take the project course Design of embedded intelligent systems. On this course you will participate in larger projects where you contribute with knowledge from the specialisation you have taken during the second semester.

The programme is conducted in English.

Specialise with elective courses

From the second semester, you specialise in either embedded or intelligent systems. Embedded systems includes courses like Network for Embedded Systems, Embedded Parallel Computing, Testing and Verification of Embedded Systems. With specialisation in intelligent systems, instead you take courses like Learning Systems, Intelligent Vehicles, Robotics and Image Analysis.

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.

Entry requirements

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.

Programme content

The courses listed below are included in the programme starting autumn 2020.

Click on a linked course to search for the course syllabus (including course literature).

* included in the programme main area Computer Science and Engineering.

Semester 1 

Compulsory courses: 

Elective course: 

Semester 2 

Compulsory courses: 

  • Learning Systems, 7.5 credits
  • Intelligent Vehicles, 7.5 credits
  • Image Analysis, 7.5 credits

Elective courses: 

  • Robotics, 7.5 credits
  • Embedded Parallel Computing, 7.5 credits 

Semester 3 

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 

Semester 4 

Compulsory courses: 

  • Thesis, 30 credits (pre-studies during semester 3)

Elective courses: 

  • 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 Master's degree in Computer Technology.

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 in information technology.

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 health technology, energy and environmental technology, transport and logistics, robotics and telecommunications.

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.


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Autumn 2020 (Campus based, Halmstad, 100%)
Programme Director:

Level:

Advanced level

Application code:

Y3004

Entry requirements:

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 rules:

Available for students within Study Abroad agreements.

Instructional time:

Daytime

Language of instruction:

Teaching is in English.

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