Master's Programme in Artificial Intelligence
Do you want to contribute to the current transformation of our digital society as an artificial intelligence specialist? The Master’s programme in Artificial Intelligence gives a 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.
Education close to AI research
In the Master's programme in Artificial Intelligence students get in involved in ongoing research in the broad field of AI.
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 logic or statistics.
Choose one of five profiles
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 of 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 higher freedom to choose courses depending on interest, although some courses are strongly recommended.
The courses on the programme 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. In the courses included in the profile areas relating to human-AI interaction, the assignments typically consist of a student project that is conducted in collaboration with a societal organization addressing a societal challenge. In these projects, students are expected to collaborate in interdisciplinary teams and with representatives from a societal organisation. Organisations include both industry and public organisations.
Count on a 40-hour workweek even if there are fewer hours scheduled. On a master level, you are expected to take full responsibility for organising your study work tasks so that deadlines are met, and so that collaborative work within student projects are manageable within office hours.
Your teachers are also scientists in the fields in which they teach. All teaching takes place in English.
Read more about the programme
Master's Programme in Artificial Intelligence from Umeå University on Vimeo.