The Master’s programme in Artificial Intelligence gives broad knowledge in artificial intelligence and deepened knowledge in one of five profile areas of special interest. The profile areas are: theoretical foundations of artificial intelligence, human-AI interaction, intelligent robotics, machine learning, and data science.
Necessary prerequisites for admission to the programme are theoretical knowledge and practical skills regarding algorithmic problem solving, including well-developed programming skills. This is typically acquired through studies in computer science. In addition, prerequisites include courses in mathematics such as numerical analysis, linear algebra and a course in either logics or statistics.
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 at least 90 ECTS in the field of Computing Science, Cognitive Science, Mathematics or Mathematical Statistics, or equivalent. Of these, at least 30 ECTS must be in the subject of Computing Science and include courses in Programming Methodology, Data Structures and Algorithms, and at least 22,5 ECTS in the subject of Mathematics including courses in Calculus, Linear Algebra and one course in either Logic or in Statistics. Proficiency in English equivalent to Swedish upper secondary course English B/6.
You need to complete 120 credit hours to successfully obtain this degree. Please check detail of study units at https://www.umu.se/en/education/master/masters-programme-in-artificial-intelligence/
The Master’s programme in Artificial Intelligence gives broad knowledge in AI and deepened knowledge in profile areas such as theoretical foundations of artificial intelligence, human-AI interaction, intelligent robotics, machine learning or data science. Following your degree you can pursue a research career or a career as an AI specialist in industry or the public sector.
You can join one of the following careers: