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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 better career opportunities after their education. The 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.

As a student at this programme you choose one of the following specialisations:

Embedded systems: Focusing on new methods in computer architecture, particularly co-operating embedded systems and on communication in realtime computer systems.

Intelligent systems: Focusing on artificial intelligence and image and data analysis as well as mobile and autonomous systems, dealing with robotics and related issues.

The programme is offered in English.

The degree is 120 credits. For obtaining the degree is required that the prerequisites of the programme are fulfilled and in addition to this that at least 120 credits have been obtained following the directions in the Study Programme.

Upon completion of the degree programme, a degree certificate will be issued bearing the degree programme title in Swedish: Teknologie masterexamen med huvudområdet datateknik. In English: Degree of Master of Science (Two Years) with a major in Computer Science and Engineering, with the specialisation: Embedded and Intelligent Systems.

In the degree certificate is also stated the specialisation of the education: Embedded and Intelligent Systems.

Specific eligibility 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 and procedure
Selection is made on the basis of the required educational background.

Compulsory courses:
Engineering Mathematics, 7.5 credits
Artificial Intelligence, 7,5 credits
Cyber-Physical Systems, 7.5 credits
Real-time Embedded Systems, 7.5 credits
Design of Embedded and Intelligent Systems, 15 credits
Thesis, 30 credits

Eligible specialisation packages:

Embedded system
Networks for Embedded Systems, 7.5 credits
Embedded Parallel Computing, 7.5 credits
Testing and Verification in Embedded Systems, 7.5 credits
System-on-chip Design, 7.5 credits

Intelligent system
Learning Systems, 7.5 credits
Intelligent Vehicles, 7.5 credits
Robotics, 7.5 credits
Image Analysis, 7.5 credits

Remaining elictive courses:
Algorithms, Data Structures and Problem Solving, 7.5 credits
Computer Vision in 3D, 7.5 credits
Optical Communication, 7.5 credits
Random Processes, 7.5 credits
Data Mining, 7.5 credits
Dependable and Realtime Networking, 7.5 credits

Each student chooses one of the specialisation packages above. This choice is made after the start of the programme. A thesis project of 30 credits is to be performed within the same area as the specialization package.

Programme information

Rate of study:
Full time(100%)/daytime

Study period:
Autumn semester 2018

Closed for late

Educational level:


Study programme:
Link to study programme (PDF)Study programme     

Further information:
Programme director
Stefan Byttner

Updated 2018-09-05