MSc in Electronics Engineering, 120 credits
The master’s programme in Electronics Engineering focusses on the design of integrated circuits and System-on-Chip in advanced semiconductor technologies. This requires a broad spectrum of knowledge and skills across many fields within engineering and science, far beyond the curriculum of traditional electronics education.
The programme provides a competitive education in digital, analogue and radio-frequency (RF) integrated circuits (IC) and System-on-Chip (SoC) design, combined with in-depth knowledge in signal processing, application-specific processors, embedded systems design, modern communications systems, and radio transceiver design.
Degree: Master of Science with a major in Electrical Engineering
Duration: Two years, 120 credits
Pace of study: Full-time
Application code: LIU-91126
Application period: 17 Oct - 16 Jan
Start date: August
Citizens from within the EU/EEA and Switzerland: No tuition fees
All others: approx. USD 14,500/EUR 13,000 (SEK 126,000) per academic year
For students presently in Swedish higher educational systems
Due to practical implications, you may not have reached the 150 credits required for applying before the deadline of the first application round on 15 January.
We therefore recommend you to submit your application during the second application round, 15 March – 15 April.
Please apply at www.antagning.se
Second admission round
The Second admission round is an alternative for students from EU/EEA countries and Switzerland. For non-EU/EEA students, applying in the Second round will most likely result in not having enough time to obtain a residence permit before the start of the semester.
Please apply at www.antagning.se. Application deadline 15 April.
Programme specific requirements
Applicants are expected to have:
- a bachelor's degree in electrical engineering or equivalent
- at least 20 ECTS credits in mathematics/applied mathematics and/or applications of mathematics relevant to the programme including courses in calculus, linear algebra, probability and transform methods
Last updated: Wed Jan 18 15:00:47 CET 2017