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.
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.
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 the Master's programme in Artificial Intelligence students get in involved in ongoing research in the broad field of AI.
In some courses the assignments consist of a student project conducted in collaboration with an organization (industry or public), addressing societal challenges.
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.
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.
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NOTE: The form provides complimentary information to your original application. By providing us with additional focus to the core required courses for the Master in AI, you will assist us in shortening the assessment times. You will still be evaluated solely on the merits provided in your original application.
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Depending on your chosen profile area you can have one of two different degrees. In the profile area data science, there are four additional mandatory courses required 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 larger freedom to choose courses depending on interest, although some courses are strongly recommended.
Count on a 40-hour workweek even if there are fewer hours scheduled. On Master’s 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.
All your teachers are scientists in the fields in which they teach. All teaching takes place in English.
Foundations of Logic and Model Theory or Statistics for Engineers
Fundamentals of Artificial Intelligence
Artificial Intelligence - Methods and Applications
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
Artificial intelligence is embedded in our digital tools to make use of the vast amount of data that is collected, for giving additional value tailored to individuals and situations, and for building digital infrastructures for society. Our digital society is rapidly transforming in ways that affect how we work, educate, and entertain ourselves, socialize and engage in society.
Consequently, society is facing a rapidly increasing demand for competence in artificial intelligence that is necessary to push the development in ways that are beneficial to society. Industry’s and public organisations’ demand for expertise in artificial intelligence will increase even more in the foreseeable future.
• AI Architect
• AI Product Manager
• AI Technology Software Engineer
• Data Scientist
• AI Interaction Designer
• AI Ethicist
• Doctoral Student
• Research Engineer