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Master's Programme in Artificial Intelligence

  • Number of credits 120 Credits
  • Study time 2 years (full time)
  • Level Master’s Degree
  • Starting Autumn Term 2020

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 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.

Film: Education close to AI research
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.

While studying

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 logics 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 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 a higher freedom to choose courses depending on interest, although some courses are strongly recommended.

Project assignments

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 work week even if there are fewer hours scheduled. On 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.

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 the society. As a consequence, society is facing a rapidly increasing demand for the competence in artificial intelligence that is necessary to push the development in ways that are beneficial to the society. Industry’s and public organisations’ demand for expertise in artificial intelligence will increase even more in the foreseeable future.

Develop future digital tools

With the broad and core competence in artificial intelligence that the program will give, your future areas of work will mainly depend on your own interest areas. Work tasks can range from developing the future digital tools for improving the environment, health, education of children, to tools for addressing societal issues such as democracy, justice, safety, or building infrastructures, software for self-driving cars and other transportation systems. You may develop different types of decision support and business intelligence, AI architectures, data management strategies and responsible AI. 

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 hp

Det finns inga tidigare terminer för kursen Autumn Term 2020 Visa tillfällen för efterkommande termin

Second admission round for EU/EEA citizens

Programme starts

Autumn Term 2020

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 the field of Computing Science, Cognitive Science, Mathematics or Mathematical Statistics, or equivalent. Of these, at least 30 ECTS must be in the subject of Computing Science and include courses in Programming Methodology, Data Structures and Algorithms, and at least 22,5 ECTS in the subject of Mathematics including courses in Calculus, Linear Algebra and one course in either Logic or in Statistics. Proficiency in English equivalent to Swedish upper secondary course English B/6.

Selection

Academic credits

Application code

UMU-P5062

Application

Application deadline was 15 April 2020. Please note: This second application round is intended only for EU/EEA/Swiss citizens. Submit a late application at Universityadmissions.se.

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

SEK900

Tuition fee, first instalment

SEK71,400

Total fee

SEK285,600

International admission round

Programme starts

Autumn Term 2020

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 the field of Computing Science, Cognitive Science, Mathematics or Mathematical Statistics, or equivalent. Of these, at least 30 ECTS must be in the subject of Computing Science and include courses in Programming Methodology, Data Structures and Algorithms, and at least 22,5 ECTS in the subject of Mathematics including courses in Calculus, Linear Algebra and one course in either Logic or in Statistics. Proficiency in English equivalent to Swedish upper secondary course English B/6.

Selection

Academic credits

Application code

UMU-M5062

Application

Application deadline was 15 January 2020. 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

SEK900

Tuition fee, first instalment

SEK71,400

Total fee

SEK285,600

Contact us

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