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

This programme requires a previous education in the electrical, computer or mechatronical engineering fields or in the information and communication technology fields. 

During the studies you will be in direct connection with the University’s research since the teaching is carried on by active researchers. Many of the courses are project based and give the opportunity to study international research. The thesis work is done in the third and fourth semesters. Most students then cooperate with one of our research groups, in many cases with industrial connection.

By the choice of courses, the student has the option to focus on the either embedded systemsor intelligent systems. 

Information on entry requirements can be found in the fact box for each semester – click on the plus sign to expand the box.

Programme content

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

Semester 1 

Compulsory courses: 

Algorithms, Data Structures and Problem Solving 7.5 credits

Artificial Intelligence 7.5 credits

Networks for Embedded Systems 7.5 credits

Engineering Mathematics 7.5 credits

Elective course: 

Real-time Embedded System 7.5 credits

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 7.5/30 credits 

Elective courses: 

Real-Time Embedded Systems 7.5 credits

Testning and Verification of Embedded Systems 7.5 credits

Data Mining 7.5 credits 

Semester 4 

Compulsory courses: 

Thesis 22.5/30 credits (pre-studies during semester 3)

Elective courses: 

Computer Vision in 3D 7.5 credits

Dependable and Real-time Data Communication 7.5 credits

Autumn 2019 (Campus based, Halmstad, 100%)
Programme Director:

Level:

Advanced level

Application code:

Y3004

Entry requirements:

Bachelor of Science degree (or equivalent) 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. Degrees from other countries than Sweden must be at the same level as a Swedish Bachelor's degree in electrical engineering. Applicants must have written and verbal command of the English language equivalent to English course 6 (Swedish Upper-Secondary School). This can be proved by grades from English education or by such tests as:

  • IELTS: score (Academic) of 6.5 or more (with none of the sections scoring less than 5.5)
  • TOEFL paper based: score of 4.5 in written test and a total score of 575
  • TOEFL internet-based: score of 20 in written test and a total score of 90

Selection rules:

Available for students within Study Abroad agreements.

Instructional time:

Daytime

Language of instruction:

Teaching is in English.

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