Master in Intelligent Embedded Systems
About 99 per cent of all computers today are embedded – they are found in mobile phones, game consoles, digital cameras, cars, aeroplanes, medi- cal equipment, home appliances, robots, et cetera. These systems are getting more and more intelligent to meet the specific needs of their users. Intelligent embedded systems belong to the future – do you want to learn how to design them?
We offer a top-quality education in Intelligent Embedded Systems, with world-famous expert teachers, industrial student projects and internships, scholarships to study abroad, and a double-degree opportunity with a top-ranked research university. Course units feature state-of-the-art theory and practice in the fields of embedded systems, artificial intelligence and robotics. The practical part is organised as applied projects on real industrial equipment with some of the industrial partners, for example ABB and Ericsson. Industrial partners are actively involved in the programme and they provide quality assu- rance and industrial relevance of the programme.
AN INTERNATIONALLY AWARDED MASTER PROGRAMME
The programme has been acclaimed nationally and internationally. In 2009, it received a national grant for excellence by the Knowledge Foundation. Our students won the best Embedded Systems Master’s thesis in Sweden, the second prize in the national championship of Robotics in 2011, and one student was nominated for the Swedish Embedded Award 2011, as one of only 6 students in Sweden. Internationally, the programme received the “Bayer Teaching Excellence Award”, and a group of our students worked on the VASA project that won the Best Engineering prize at the RoboSub competition in the USA in 2012.
The programme has originally been co-designed together with seven regional industrial partners: Prevas, CC Systems, Motion Control, Hök Instruments, EEPAB, Automation Region, and RealTest. Today, the programme has extended its industrial network with, for example, international giants such as ABB and Ericsson, and major embedded system vendors, for example Atmel Corporation. The industrial partners are involved through industrial projects for students, mentorships, equipment donations, summer internships and guest lectures.
This master programme is hosted by the Mälardalen Real-Time Research Centre (MRTC), which has an internationally acknowledged record of excellence in conducting high-quality research in embedded system. We transfer the latest research results to our education. Most of the advanced-level courses cover state-of-the art research in embedded systems, and they are jointly taken with the PhD students of the department. Several of our students continue with PhD studies after completion of the master programme.
Employment and Future Prospects
The market for intelligent embedded systems is enormous, and industry’s demand for experts in this area is constantly increasing. Upon successful completion of the programme, you will be very competitive on the national and international job market, both in indu- stry as a highly-skilled expert and in academia as a researcher or prospective PhD student. Of course, those possibilities will be largely enhanced if you choose to follow the double-degree plan of the programme.
After your studies, you will be able to make a career as for example an engineer, project leader, system architect, programmer, or researcher in for example the automotive industry, or the fields of robotics, telecom, industrial process control, consumer electronics, etcetera.
- For studens outside EU/EAA
- First semester fee: 65000 SEK
- Total programme fee: 260000 SEK
A completed Bachelors degree from an institution of higher education of three years or more, equivalent to 180 credits, of which at least 30 credits are within computer engineering, computer science or electronics 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.