Master in Artificial Intelligence
Umeå University - Faculty of Science and Technology
Key Information
Campus location
Umeå, Sweden
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time
Tuition fees
SEK 142,800 / per year *
Application deadline
Request info
Earliest start date
02 Sep 2024
* Total fee 285,600SEK
Introduction
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.
Master's Programme in Artificial Intelligence from Umeå University on Vimeo.
Admissions
Curriculum
Programme overview
Basic courses:
Foundations of Logic and Model Theory or Statistics for Engineers
Fundamentals of Artificial Intelligence
Artificial Intelligence - Methods and Applications
Machine Learning
Profile areas in Computing Science:
• Reasoning and decision making
• Machine Learning
• Human-AI Interaction
• Intelligent Robotics
Profile areas in Mathematical Statistics:
• Data Science
Basic courses in Computing Science:
If you aim for one of the profile areas in Computing Science you will get a degree in Computing Science with a profile in AI and will also have to take these two mandatory courses:
Design of Interactive Intelligent Systems
Thesis project for Degree of Master of Science in Computing Science (specialisation in Artificial Intelligence)
Basic courses in Mathematical Statistics:
If you aim to follow the Data Science profile you will get a degree in Mathematical Statistics and will have to take these five mandatory courses:
Stochastic Processes and Simulation
Design of Experiments and Advanced Statistical Modelling
Statistical learning with high-dimensional data
Big Data and high-dimensional data analysis
Thesis Project for the Degree of Master of Science in Mathematical Statistics