Skip to content
printicon
Main menu hidden.

Master's Programme in Artificial Intelligence

  • Number of credits 120 credits
  • Study time 2 years (full time)
  • Level Master’s Degree
  • Starting Autumn Term 2022

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.

While studying

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.

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.

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.

Also, fill in a self-evaluation form!
To shorten the time required to assess your application we would appreciate if you would fill in a self-evaluation form and upload it to your account at universityadmissions.se.

The PDF form is available for download here:

Self-evaluation form AI Master

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.

If you have any questions regarding your application to the Master's programme in AI at Umeå University, please use this contact form.

Two different degrees

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.

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
Multivariate Data Analysis
Big Data and high-dimensional data analysis
Thesis Project for the Degree of Master of Science in Mathematical Statistics

 

Career opportunities

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.

Examples of job titles:

• AI Architect
• AI Product Manager
• AI Technology Software Engineer
• Data Scientist
• AI  Interaction Designer
• AI Ethicist
• Doctoral Student
• Research Engineer

Application and eligibility

Master's Programme in Artificial Intelligence, 120 credits

Visa tillfällen för föregående termin Autumn Term 2022 Det finns inga senare terminer för kursen

Second admission round for EU/EEA citizens

Programme starts

Autumn Term 2022

Type of studies

100%, Daytime

Study location

Umeå

Language

English

Eligibility

A Bachelor's degree or equivalent first-cycle qualification comprising of at least 180 ECTS or a corresponding qualification from an internationally recognised university. Specific entry requirements are at least 90 ECTS in one of the following fields: Computer Science, Cognitive Science, Mathematics or Mathematical Statistics, or equivalent. At least 30 ECTS must be in the subject of Computer Science and include courses in Programming Methodology, Data Structures and Algorithms. At least 22,5 ECTS must be in the subject of Mathematics including courses in Calculus, Linear Algebra. At least one course must be in either Formal Logic or in Mathematical Statistics. Proficiency in English equivalent to Swedish upper secondary course English B/6. Entry requirements

Selection

Academic credits completed by the last application date (in the range of 30-285 credits equivalent to ECTS)

Application code

UMU-P5062

Application

The online application opens 15 March 2022 at 13:00 CET. Application deadline is 19 April 2022. How to apply

Application and tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK 900

Tuition fee, first instalment

SEK 71,400

Total fee

SEK 285,600

International admission round

Programme starts

Autumn Term 2022

Type of studies

100%, Daytime

Study location

Umeå

Language

English

Eligibility

A Bachelor's degree or equivalent first-cycle qualification comprising of at least 180 ECTS or a corresponding qualification from an internationally recognised university. Specific entry requirements are at least 90 ECTS in one of the following fields: Computer Science, Cognitive Science, Mathematics or Mathematical Statistics, or equivalent. At least 30 ECTS must be in the subject of Computer Science and include courses in Programming Methodology, Data Structures and Algorithms. At least 22,5 ECTS must be in the subject of Mathematics including courses in Calculus, Linear Algebra. At least one course must be in either Formal Logic or in Mathematical Statistics. Proficiency in English equivalent to Swedish upper secondary course English B/6. Entry requirements

Selection

Academic credits completed by the last application date (in the range of 30-285 credits equivalent to ECTS)

Application code

UMU-M5062

Application

Application deadline was 17 January 2022. The application period is closed.

Application and tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK 900

Tuition fee, first instalment

SEK 71,400

Total fee

SEK 285,600

Contact us

Please be aware that the University is a public authority and that what you write here can be included in an official document. Therefore, be careful if you are writing about sensitive or personal matters in this contact form. If you have such an enquiry, please call us instead. All data will be treated in accordance with the General Data Protection Regulation.

Programme is given by
Faculty of Science and Technology
Contactpersons for the programme are:
Ola Ringdahl, Programme Director