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Master's Programme in Intelligent Embedded Systems

Education level CreditsSecond cycle 120 credits

Time2 years full time

Study locationVästerås

In this programme you learn how to design intelligent embedded systems that are safe, reliable and can learn from and adapt to their surroundings. After your studies you can work as an engineer, project manager, system architect or programmer.

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Credits

120 credits

Education level

Second cycle

Study pace

full time

Study location

Västerås

Start

2025-09-01

Length

2 years

Teaching form

Normal teaching

Tutoring language

English

Application code

MDU-44951

Selection

University credits

Specific requirements

A completed Bachelor's degree from an institution of higher education of three years or more, equivalent to 180 credits, of which at least 60 credits are within computer engineering and/or computer science including programming corresponding to 15 credits. At least 22,5 credits in Mathematics/Applied Mathematics are required. A TOEFL test result, with a minimum score of 575 with a TWE score of at least 4.5 (PBT) or 90 with a TWE score of at least 20 (iBT) or an IELTS test result with an overall band score of at least 6.5 and no band score below 5.5 or equivalent is required.

Open programme schedule 24/25

View syllabus (GST01)

Masterexamen

For students outside EU/EEAPer installment prior to each semester: 67500 SEKAnnual tuition fee: 135000 SEKTotal programme fee: 270000 SEK

Apply autumn semester 2025, Västerås

Apply on universityadmissions.se

The programme

The courses in this programme embrace the latest theory and practice within the areas of embedded systems, artificial intelligence and robotics. To guarantee that you obtain skills requested by the industry, the content is developed together with companies and your teachers are world-leading researchers within the field.

The theoretical parts are interspersed with practical parts that are done in collaboration with companies in the industry, such as ABB, Alstom, Hitachi Energy, Westermo, and Volvo Construction Equipment. The collaboration involves guest lectures, student projects, project courses, mentoring and internships. In addition, you have the opportunity to use corporate equipment from some of our business partners on various courses.

The University has several exchange agreements and some of them also give you the opportunity to obtain a double master's degree.

Employment and Future Prospects

The market for intelligent embedded systems is enormous and the industry’s need for experts in the area is constantly increasing. On completion of the programme you will be in demand in the national and international labour market. Both as a well-qualified expert in the field at companies and as a doctoral student in higher education.

With this master’s degree you can make a career as an engineer, project manager, system architect, embedded systems programmer or a researcher in the areas of robotics, telecommunications, process control, home electronics and the car and train industry. This master’s degree with a set of courses with cutting-edge knowledge prepares you to take responsibility in the fields of using newly emerged artificial intelligence techniques in developing advanced embedded systems, advanced solutions in robotics and automation industries, as well as car and train manufacturing.

Application and admission

Read more about how and when to apply for the programme.

Application and admission

Programme structure and content

Here you can see how the program’s content is divided into different subjects and which courses you will take each year of the program. If you study full-time, you will take 30 credits (hp) per semester. Some courses within a program may be mandatory, while others may be elective.

This is a preliminary content of the program. Courses and subjects may be subject to change.

Computer Science
81.0%
Electives in Computer Science
12.0%
Mathematics/applied mathematics
6.0%

Courses within the programme

Courses within year 1

Computer Science:

Research Methods in Computer Science, 7.5 credits
Embedded Systems I, 7.5 credits
Embedded Systems II, 7.5 credits
Intelligent Systems, 7.5 credits
Programming of Reliable Embedded Systems, 7.5 credits

Mathematics/Applied Mathematics:

Applied Matrix Analysis, 7.5 credits

Elective, 15 credits:

Computer Science:

Project in Intelligent Embedded Systems, 15 credits
Thesis for the Degree of Master of Science in Computer Science (60 credits) with Specialization in Embedded Systems, 15 credits

Courses within year 2

Computer Science:

Thesis for the Degree of Master of Science (120 credits) in Computer Science with Specialization in Embedded Systems, 30 credits
Project in Advanced Embedded Systems, 30 credits