What is intelligent behaviour? How do computers recognize faces and objects? In this programme, you will learn how to design and implement intelligent systems.
This Master's programme has a selection procedure. The application deadline is 1 May. For more information about the selection procedure, please check here .
The Master's programme in Artificial Intelligence is made up of five core topics, reflected in the specializations: Machine Learning, Multi-Agent Systems, Robotics, AI Engineering and Hybrid Intelligence. There is also the possibility to follow a Science, Business and Policy Track.
Machine Learning
Automated translation between languages, face recognition,
automated satellite image processing, or self-driving cars are all
based on 'intelligent' computer algorithms. These algorithms are
based on insights obtained in the cognitive and neurosciences on
the one hand and are guided by fundamental principles of
statistics, formal logic and dynamical systems theory on the other
hand.
The courses taught in this specialization cover computational social choice, argumentation between agents, collective intelligence, computational game theory, and dynamic epistemic logics for intelligent interaction.
Multi-Agent Systems
When a team of robots play football they have to communicate and
cooperate with each other. This is an example of multiple agents
acting concurrently; 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.
Robotics
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.
The courses taught in the area of cognitive robotics are related to research in social/domestic robotics, human-robot interaction, and how robots can extend their knowledge over time by interacting with non-expert users.
Hybrid Intelligence2-year programme; credits per year: 60 ECTS; most courses are 5 ECTS.
For the complete curriculum, please see: https://ocasys.rug.nl/current/catalog/programme/66981
| Programme options |
|---|
| Machine Learning (specialization) |
| Hybrid Intelligence (specialization) |
| Robotics (specialization) |
| Multi-Agent Systems (specialization) |
| AI Engineering (specialization) |
| Science, Business & Policy Track (track) |
Exchange is possible, for example as part of your Master thesis. 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.
| Specific requirements | More information |
|---|---|
| previous education |
This Master's degree programme has a selection procedure; read the information below. An academic Bachelor's degree in Artificial Intelligence or a related field including the following key subjects: Calculus, Linear Algebra, Probability & Statistics, Advanced Programming, Machine Learning, Advanced Logic, Neural Networks, Research Methodology Skills. The Admission Board determines whether the specific contents of courses meet the admission requirements of the Master programme. Information about admission possibilities and requirements for students with a Dutch BSc degree (academic or HBO) is published on: https://www.rug.nl/fse/msc-admission |
| other admission requirements |
The Artificial Intelligence Master programme is selective. Selection will be based on academic performance and motivation. After you have registered via www.rug.nl/fse/msc-admission (before May 1st), your application will be reviewed by the Board of Admissions of the programme. BEFORE YOU APPLY Make sure to visit 'MSc Application Procedure' at https://www.rug.nl/fse/msc-admission for all the necessary information about the procedure and admission requirements. |
| Study programme | Organization | Transition |
|---|---|---|
| Artificial Intelligence | All Research universities |
Additional requirements More information:This Master's degree programme is selective, please read the information about the selection procedure. |
| Study programme | Organization | Transition |
|---|---|---|
| Artificial Intelligence | University of Groningen |
Additional requirements More information:This Master's degree programme is selective, please read the information about the selection procedure. |
| Human Movement Sciences | University of Groningen | Via a pre-master with a maximum of |
| Data Science & Society | University of Groningen | Via a pre-master with a maximum of |
| Physics | University of Groningen | Via a pre-master with a maximum of |
| Computing Science | University of Groningen | Via a pre-master with a maximum of |
| Astronomy | University of Groningen | Via a pre-master with a maximum of |
| Biomedical Engineering | University of Groningen | Via a pre-master with a maximum of |
| Applied Mathematics | University of Groningen | Via a pre-master with a maximum of |
| Econometrics and Operations Research | University of Groningen | Via a pre-master with a maximum of |
| Psychology (NL) | University of Groningen | Via a pre-master with a maximum of |
| Applied Physics | University of Groningen | Via a pre-master with a maximum of |
| Liberal Arts and Sciences | University of Groningen | Via a pre-master with a maximum of |
| Information Science | University of Groningen | Via a pre-master with a maximum of |
| Mathematics | University of Groningen | Via a pre-master with a maximum of |
| Study programme | Organization | Transition |
|---|---|---|
| Cognitive Science and Artificial Intelligence | Tilburg University | No additional requirements |
| Communication and Information Studies | Tilburg University | Via a pre-master |
| Study programme | Organization | Transition |
|---|---|---|
| Data Science and Artificial Intelligence | Maastricht University | Additional requirements |
| Study programme | Organization | Transition |
|---|---|---|
| Communication and Information Studies | Utrecht University | Via a pre-master |
| Information Science | Utrecht University | Via a pre-master with a maximum of |
| Computer Science | Utrecht University | Via a pre-master with a maximum of |
| Study programme | Organization | Transition |
|---|---|---|
| Information Science | University of Amsterdam | Via a pre-master with a maximum of |
| Computer Science | University of Amsterdam | Via a pre-master with a maximum of |
| Cognition, Language and Communication | University of Amsterdam | Via a pre-master with a maximum of |
| Study programme | Organization | Transition |
|---|---|---|
| Data Science and Artificial Intelligence | Leiden University | Additional requirements |
The Board of Admissions will decide whether you can be admitted to the Master's degree programme.
Please fill out this checklist and provide the requested documents:
Do you prefer an early decision on your request of admission? Do not wait until 1 May, but use one of the earlier deadlines for this Master's programme (for a course start on 1 September). If the University of Groningen has received your complete application before, then you will receive a decision no later than:
Application – Decision:
1 December – 15 January
1 February – 1 March
15 March – 15 April
1 May – 15 June
This means that an applicant must both meet the admission requirements and successfully complete a selection procedure in order to be admitted to the Master's degree programme.
| Type of student | Deadline | Start course |
|---|---|---|
| Dutch students | 01 May 2025 | 01 September 2025 |
| 01 May 2026 | 01 September 2026 | |
| EU/EEA students | 01 May 2025 | 01 September 2025 |
| 01 May 2026 | 01 September 2026 | |
| non-EU/EEA students | 01 May 2025 | 01 September 2025 |
| 01 May 2026 | 01 September 2026 |
| Specific requirements | More information |
|---|---|
| previous education |
This Master's degree programme has a selection procedure; read the information below. An academic Bachelor's degree in Artificial Intelligence or a related field including the following key subjects: Calculus, Linear Algebra, Probability & Statistics, Advanced Programming, Machine Learning, Advanced Logic, Neural Networks, Research Methodology Skills. The Admission Board determines whether the specific contents of courses meet the admission requirements of the Master programme. |
| language test |
MAKE SURE TO VISIT http://www.rug.nl/fse/programme/admissions/msc/language-requirements for all the necessary information about required language tests and minimum scores. |
| other admission requirements |
The Artificial Intelligence Master programme is selective. Selection will be based on academic performance and motivation. After you have registered (before May 1st), your application will be reviewed by the Board of Admissions of the programme. BEFORE YOU APPLY Make sure to visit 'MSc Application Procedure' for all the necessary information about the procedure and admission requirements.
|
This programme has a selection procedure, the Board of Admissions will decide whether you can be admitted to to the programme.
Please fill out this checklist and provide the requested documents:
Do you prefer an early decision on your request of admission? Do not wait until 1 May, but use one of the earlier deadlines for this Master's programme (for a course start on 1 September). If the University of Groningen has received your complete application before, then you will receive a decision no later than:
Application – Decision:
1 December – 15 January
1 February – 1 March
15 March – 15 April
1 May – 15 June
This means that an applicant must both meet the admission requirements and successfully complete a selection procedure in order to be admitted to the Master's degree programme.
| Type of student | Deadline | Start course |
|---|---|---|
| Dutch students | 01 May 2025 | 01 September 2025 |
| 01 May 2026 | 01 September 2026 | |
| EU/EEA students | 01 May 2025 | 01 September 2025 |
| 01 May 2026 | 01 September 2026 | |
| non-EU/EEA students | 01 May 2025 | 01 September 2025 |
| 01 May 2026 | 01 September 2026 |
Once you have obtained your Master's degree in Artificial Intelligence, you can apply your research & development skills in workplaces such as air traffic and space labs, to ensure that intelligent and innovative technologies are included in the design process. You could also opt for a research role, either at a university (PhD study) or a research institute like Applied Scientific Research (TNO).
This Master's programme excels thanks to its dedicated staff, who are experienced in investigating and teaching across the full breadth of AI. As a result, students interested in machine learning, logic, and cognition – in any hybrid combination that is so essential for future innovations in AI – will feel at home with us.
Where do graduated master's AI students work at the moment? Bram Wiggers and Daniëlle Metz both graduated recently from this programme.
Bram works for a start-up where he uses AI techniques to reduce the energy usage of data centers. Next to that, he started a company to give workshops on neural networks.
Daniëlle Metz works for a Data Consultancy where she applies the problem-solving and group project skills she learned in the AI Master to do Data Science, Data Engineering, and even Data Governance at several companies in the Financial Sector.
Most of the teachers in the Master's programme also participate as researchers in the research institute Bernoulli. 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:
