Artificial Intelligence Umea University

Overview

Following your degree you can pursue a research career or a career as an AI specialist in industry or the public sector.

Overview

Umea University's 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.

The programme contains four mandatory AI courses common for all profiles, to be attended during the first year: on the foundation of AI, on AI and its methods and applications, on machine learning, and on designing interactive intelligent systems.  In the profile area data science there are four additional mandatory courses that you require to receive a degree in Mathematical Statistics. For the four remaining areas, leading to a degree in Computing Science with a profile in Artificial Intelligence, you have a higher freedom to choose courses depending on interest, although some courses are strongly recommended.