Necessary prerequisites for being able to follow the programme are theoretical knowledge and practical skills regarding algorithmic problem solving, including well-developed programming skills. In particular, you must be able to program in programming languages such as C, Java, and Python and, if necessary, quickly become acquainted with further programming languages. You must also be familiar with the basics of discrete mathematics and fundamental concepts from the theory of computation such as automata, formal languages, computability, and computational complexity.
Thesis completes your studies
During the first semester of the Computing Science programme taught at Umea University you will take four courses of which two are mandatory: Computer Organization and Architecture and Efficient Algorithms. The two remaining courses are Distributed Systems and Artificial Intelligence – Methods and Applications. The latter two are not mandatory, but are pre-selected and highly recommended. Towards the end of the programme, after taking a number of elective courses, you will take the course Student Conference in Computing Science that gives a hands-on introduction to scientific writing. This course will prepare you for your master thesis comprising 30 ECTS credits, which completes your studies.
The programme courses consist of lectures, seminars, group work and tutorials in conjunction with different types of assignments and laboratory work. These assignments are usually mandatory and often consist of software development of some kind. Count on a 40-hour work week even if there are fewer hours scheduled. You are expected to organize your work by yourself in a way that suits you and your studies.
The scientific way of thinking that characterizes the programme yields a solid foundation for future PhD studies, but also ables you to work independently with specialised positions in industry. You may find your future workplace at a university or private research institute or with companies such as Ericson, Facebook, Volvo, Tieto or an overwhelming number of smaller IT-related companies.
Common job titles:
- Project leader in the IT-business
- Systems developer
- Algorithm designer
- Data consultant
Get more detailsVisit official programme website
- Efficient Algorithms and Problem Complexity
- Computer Organization and Architecture
- Distributed Systems
- Artificial Intelligence – Methods and Applications
- 24 months
Start dates & application deadlines
- Apply before , International
- Apply before , EEA/EU
- Apply before , National
DisciplinesComputer Sciences IT Security Artificial Intelligence View 64 other Masters in Computer Sciences in Sweden
We are not aware of any academic requirements for this programme.
- A Bachelor's degree or equivalent first-cycle qualification comprising of at least 180 ECTS or a corresponding qualification from an internationally recognised university.
- Specific entry requirements are: 75 ECTS in Computer Science which include a thesis of at least 15 ECTS, and a minimum of 22,5 ECTS in Mathematics including a course that conveys basic knowledge regarding formal logic. b) Good theoretical and practical knowledge and skills regarding algorithms and data structures, programming in different programming languages such as Java and C++.
International6945 EUR/yearTuition FeeBased on the tuition of 6945 EUR per year during 24 months.
EU/EEAFreeTuition FeeBased on the tuition of 0 EUR per year during 24 months.
- Application fee SEK900
- Tuition fee, first instalment SEK71,400
- Total fee SEK285,600
Living costs for Umeå
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 3 months
Check the official programme website for potential updates.