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EducationMaster's and PhD degree programmesArtificial Intelligence
Header image Artificial Intelligence

Artificial Intelligence

What is intelligent behaviour? How can computers recognize faces and objects? In this programme you will learn how to design and implement intelligent systems.

The core topics in the Master's programme Artificial Intelligence are: autonomous perceptive systems, cognitive robotics and multi-agent systems.

Autonomous Systems
A robot taking samples and collecting information on the moon is an example of an autonomous system. It operates and carries out missions independently. Regardless of its surroundings, it responds with a certain intelligence. While traditional AI focuses on cognition and reasoning as isolated abilities, we strongly believe in perception as an active behaviour, which is integrated into general cognition.

Cognitive Robotics
The courses taught in the area of cognitive robotics are related to research in social robotics, to the origin of robotic communication and to the way in which robots recognize movement. Research is conducted at the Artificial Intelligence and Cognitive Engineering Institute.

Multi-agent Systems
When a team of robots play football they have to communicate and cooperate with each other. This is an example of a multi-agent system. When designing these systems, techniques from computing science and logic are combined with knowledge about the interaction amongst humans and animals.

Facts & Figures
MSc in Artificial Intelligence
Course type
24 months (120 ECTS)
Croho code
Language of instruction
February, September
Science and Engineering
Why study this programme in Groningen?
  • Be part of a programme with excellent reviews
  • Awarded 'Top Rated Programme' label (Higher Education Guide 2017) and awarded best master's degree programme AI in the Netherlands according to Elsevier
  • Challenging graduation projects
  • Our faculty is the home of the 2016 Nobel Prize Winner in Chemistry, Ben Feringa, and the Nobel Prize winner in Physics, Frits Zernike


2-year programme; credits per year: 60 ECTS; most courses are 5 ECTS.

For the complete curriculum, please see:

Programme options
Multi-Agent Systems (specialization)
Computational Intelligence and Robotics (specialization)
HTSM Honours Master (honours program)

This Master's degree programme gives access to the additional, highly selective, High Tech Systems and Materials (HTSM) Honours Master.

The HTSM Honours Master is organized in cooperation with Philips and other major industry partners.

More information about this option

Study abroad

  • Study abroad is recommended
  • For an average of 20 weeks
  • Maximum of 60 EC

Exchange: All our science and engineering programmes offer study abroad possibilities at a number of partner institutions. Our partners include top-100 universities in Europe (for example in Germany, UK, and Sweden) and in the USA, China, South-East Asia, and South America. Our exchange programmes have a typical duration of one semester and count toward your final degree.

Entry requirements

Admission requirements

Specific requirementsMore information
knowledge minimum

Sufficient English proficiency on VWO level is required.

previous education

A Bachelor's degree in Artificial Intelligence or a relevant degree including the following subjects: Knowledge Systems, Autonomous Systems, Mathematics (discrete and continuous), Statistics, Logics (set theory, predicate logic and modal logic), and Computer Science (programming, data structures, search techniques, practical skills).

Information about admission possibilities and requirements for students from a Dutch HBO institute is published on:

other admission requirements

BEFORE YOU APPLY Make sure to visit 'MSc Application Procedure' at for all the necessary information about the procedure and admission requirements.

Transfer options

Study programmeOrganizationTransition
Artificial IntelligenceAll Research universities

No additional requirements

More information:

Access to be decided by the admissions board

Study programmeOrganizationTransition
Artificial IntelligenceUniversity of GroningenNo additional requirements

Admission requirements

Specific requirementsMore information
additional subject

The Admissions Office will advise the Admissions Board on your application, after which the Board will decide if you meet the admission requirements in terms of general level of previous education and specific background knowledge. Applications are evaluated on a continuous basis. You do not have to wait until the application deadline to apply.

Make sure to visit 'MSc Application Procedure' at: for all the necessary information about the procedure and admission requirements.

knowledge minimum

Applicants with a background in electrical/electronic engineering, industrial robotics and production automation are very rarely considered eligible for admission.

language test

MAKE SURE TO VISIT for all the necessary information about required language tests.

previous education

At least a Bachelor's degree in Artificial Intelligence or a relevant Bachelor's degree which includes all of the following six subjects:

  • knowledge systems,
  • autonomous systems,
  • mathematics (discrete and continuous),
  • statistics,
  • logics (set theory, predicate logic and modal logic
  • computer science (programming, data structures, search techniques, practical skills).

This is merely an indication of required background knowledge. The admissions board determines whether the specific contents of your previous degree programme meet the admission requirements.

other admission requirements

BEFORE YOU APPLY Make sure to visit 'MSc Application Procedure' at for all the necessary information about the procedure and admission requirements.


ASML Scholarship: ASML is one of the world's leading manufacturers of chip-making equipment. The €5000 p/y scholarship is awarded every year to 25 exceptional students, who get the chance to become a Technology Ambassador within their scholarship period. More information can be found here:

Language requirements

ExamMinimum score
IELTS overall band6.5
TOEFL paper based580
TOEFL computer based237
TOEFL internet based92

Registration procedure

The Admissions Board will decide whether you can be admitted to the Master's degree programme. Applications are evaluated on a continuous basis. You do not have to wait until the application deadline to apply.

Application deadlines

Type of studentDeadlineStart course
Dutch students01 May 202001 September 2020
15 October 202001 February 2021
EU/EEA students01 May 202001 September 2020
15 October 202001 February 2021
non-EU/EEA students01 May 202001 September 2020
15 October 202001 February 2021
Tuition fees
NationalityYearFeeProgramme form
EU/EEA2019-2020€ 2083full-time
non-EU/EEA2019-2020€ 15500full-time
EU/EEA2020-2021€ 2143full-time
non-EU/EEA2020-2021€ 17500full-time

Practical information for:

After your studies

Job prospects

Once you have obtained your Master's degree in Artificial Intelligence, you can apply your skills in research & development, for instance air traffic and space labs, where you make sure that intelligent and innovative technologies are used during the design process. You could also choose to get a job at a research institute where you work as a researcher. This can be done at a university (PhD) or at a research institute like TNO. About 50% of our students chooses a career as a scientist.

Where do graduated master AI students work at the moment? Maarten van Grachten and Mathijs Homminga did the AI master in the old doctoral program and they specialised in very different directions. Mathijs works as a software engineer at the IT-company Evermind. He programs and implements innovative IT-projects for shops. Maarten is doing a PhD in Barcelona where he investigates how a computer can compose jazz music.

Job examples

  • PhD research position
  • Industrial Research & Development
  • Software engineer

Be part of a Programme with Excellent Reviews

Most of the teachers in the Master's programme also participate as researcher in the research institute Bernouli. The content of the courses taught are closely linked to the research themes of the teachers.

The mission of the Bernoulli Institute is to perform outstanding academic research and teaching in Mathematics, Computer Science, and Artificial Intelligence, and to maintain international leadership herein; to foster these disciplines as a living body of knowledge, and to make it relevant to society in its broadest sense. The symbiosis between pure and applied science, and between mono- and multidisciplinary research and teaching, is a distinguishing characteristic of our institute. As an important part of this mission we aim to transfer our results to other areas of science and technology, and initiate and expand inter- and multi-disciplinary research collaborations.

The following research groups within the institute focus on Artificial Intelligence:

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If you want to know more about the programme Artificial Intelligence, please contact:

  • Academic Advisor (For questions regarding the programme)
  • (For international students who are interested in a Campus Tour or have other practical questions)
						Testimonial of Francesco Bidoia

    Using my knowledge in my future work

    – Francesco Bidoia
    Read more

    'I came to Groningen for the Master's degree in Artificial Intelligence because of the practical approach: half of the courses I followed involved practical cases, which form a big part of each course.

    This works perfect for me because we are given the chance to immediately test and play with all the knowledge which is handed to us. This approach boosts the learning of a subject. It is great to have the opportunity to discover and deepen the understanding of a concept thanks to a supervised project.

    I particularly focused my courses on robotics. Thanks to the Alice Robotics department I had the opportunity to use the robots of the Robolab, with which I did many projects.

    Coming close to the end of my Master’s degree, I will probably start working in a robotic-related company. Autonomous navigation systems has always been one of my particular interests, and after the possibility to study and practice those systems in the Robolab, I'm looking forward to using my knowledge in my future work.’

						Testimonial of Trudy Buwalda

    How humans learn new tasks

    – Trudy Buwalda
    Read more

    After doing her master's project in the USA, Trudy wanted to continue to work on the edge of knowledge. She ended up back in Groningen for a PhD project about the transfer of cognitive skills. She builds computer models which show how humans learn new tasks and tests them by comparing them to, for example, test scores or brain activity. Using her models we can learn more about how your brain uses what you already know to learn something new.

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