MSc Computer Science, 120 credits
Computer science and technology play a key role in every part of the modern world. The master’s programme in Computer Science is based on the need for computer scientists to master the theoretical foundations of the field and be able to integrate them with other technologies.
In addition to core courses in theoretical computer science and programming, the programme includes elective courses, such as artificial intelligence, databases and data mining, the design and programming of computer games, information security, advanced computer graphics, human-computer interaction and theoretical computer science.
Applicants are expected to have an adequate background in computer science and good programming skills.
Degree: Master of Science with a major in Computer Science
Duration: Two years, 120 credits
Pace of study: Full-time
Application code: LIU-91106
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
Programme specific requirements
Applicants shall have:
- a bachelor's degree with a major in computer science, information technology, software engineering, computer engineering, alternatively, a bachelor's degree with a minor in computer science or related subject area, with a minimum of 60 ECTS credits in computer-related subjects (e.g. programming, data structures, databases, software engineering, computer hardware, computer networks)
- at least 24 ECTS credits in mathematics/applied mathematics and/or application of mathematics relevant to the programme including courses in discrete mathematics, linear algebra, calculus and mathematical statistics
Last updated: Mon Nov 28 13:11:32 CET 2016