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Master in Künstlicher Intelligenz

Umeå University - Faculty of Science and Technology


Sitz

Schweden

Studienformat

Campus

Kurssprache

Englisch

Studienbereiche

Informatik, Softwaretechnik, Cybersicherheit, Informationssysteme, Datenwissenschaft, Künstliche Intelligenz

Dauer

2 Jahre

Studienrhythmus

Vollzeit

Niveau

Master-Abschlüsse

Studiengebühren

Infos anfordern

Beschreibung des Programms

Master's Programme in Artificial Intelligence

Do you want to be a specialist in AI? In a modern world, Artificial Intelligence will play an increasingly important role to create breaking-ground technology and as a tool to understand the society. The Master’s programme in Artificial Intelligence aims to give you the fundamental knowledge and practical skills you need to design, build, and apply AI systems in your chosen area of specialisation.

Education close to AI research

This is the first Master programme in Artificial Intelligence in Sweden, and all courses will be taught by internationally known researchers spanning a wide range of areas in AI. The Master’s programme gives you a broad knowledge in Artificial Intelligence and deepened knowledge in one of five profile areas of your special interest. The profile areas are: reasoning and decision making , human-AI interaction , intelligent robotics , machine learning , and data science .

The programme contains three mandatory AI courses common for all profiles, to be attended during the first year: the fundamentals of AI, AI and its methods and applications, machine learning, and responsible designing of intelligent systems. In addition to this, everyone is taking a course in either mathematical statistics or formal logic, depending on what courses they have taken in their Bachelor.

Practical assignments

During the programme, you will not only learn the theory but also work a lot with your practical skills. The courses on the programme consist of lectures with internationally known researchers, seminars, group work, laboratory work and tutorials in conjunction with different types of assignments. These assignments are usually mandatory and often consist of software development of some kind.

In some courses the assignments consist of a student project conducted in collaboration with an organization (industry or public), addressing societal challenges.

Develop future digital tools

With the broad and core competence in Artificial Intelligence and the practical skills that the programme will give, you will have great opportunities in different future areas of work. Following your degree, you can pursue a research career or a career as an AI specialist in the industry or the public sector. You will learn how to develop future digital tools. Tools that can for example be applied for improving the environment, health, and education of children or address societal issues such as democracy justice, and safety. It could also be about building software for self-driving cars and other transportation systems. You will be able to develop AI architectures, data management strategies, and support regarding responsible AI.

Entry requirements

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 calculus, linear algebra, and a course in either formal logic or mathematical statistics.

Read more about the programme

Master's Programme in Artificial Intelligence  from  Umeå University  on  Vimeo .

Informationen über das Institut

Umeå University was founded in 1965 and is Sweden's fifth oldest university. Today, we have a strong international and multicultural presence with students, teachers and researchers from all over the world. As one of the leading comprehensive universities in the nation, we are alive with enthusiasm, creativity and fresh ideas.

We constantly strive towards being one of Scandinavia and Europe's best environments for education , research and community engagement that meets the challenges of an ever-increasing global society.

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