Artificial Intelligence
Entry requirements
Admission
In order to be admitted to this Master's programme, you will need a completed Bachelor’s degree in Artificial Intelligence or a related area equivalent to a Dutch Bachelor's degree from a research university. This does not include a Bachelor’s from a university of applied science (HBO, in German; Fachhochschule).
Have you completed or will you complete a Bachelor’s degree in a different field from a research university? In that case you may be admissible if you have obtained:
- substantial knowledge of computer science in particular sufficient programming experience and software development experience, approximately 15-24 EC
- a sufficient background in mathematics (knowledge of calculus, linear algebra, statistics), approximately 12 EC
- broad knowledge of core artificial intelligence techniques (such as logic, machine learning, search & planning, reasoning under uncertainty) at an introductory level, approximately 12-18 EC
- demonstrable knowledge, approximately 18-24 EC, in disciplines such as robotics, computational linguistics, ambient intelligence, data mining, and multi-agent systems.
If you do not meet the admission requirements for the Master's specialisation in Intelligent Technology, it might be possible to be admitted to the pre-Master's programme.
In order to take part in this programme, you need to be proficient in both written and spoken English. Students with a Bachelor's degree obtained in Australia, Canada (excluding Quebec), Ireland, New-Zealand, United Kingdom or the United States, where the language of instruction was English, are exempted from the language requirements. Other candidates need to have obtained one of the certificates below before the enrolment deadline (you will not be needing these certificates when you apply at Radboud University).
- TOEFL
Minimum score: 100
Subscores: 22
Please note: the TOEFL Home Edition is not accepted.
- IELTS Academic
Minimum score: 7.0
Subscores: 6.5
- Cambridge C1 Advanced
Minimum score: 185
Subscores: 176
- Cambridge C2 proficiency
Minimum score: 185
Subscores: 176
Months of entry
September
Course content
- Take a cognitive approach to computer modeling in order to better understand and build intelligent systems.
- Create models for decision making, network interactions and neuron networks.
- Benefit from taking an interdisciplinary approach to your topics, drawing on mathematics, psychology and computer science.
Programme overview
As humans, we are often intrigued by how complex our daily activities are. How does it work actually to perceive, to act, to decide, and to remember? If we understand how our own intelligence works, we can use this knowledge to make computers smarter, but by making computers behave 'human'-like, we may be able to learn about how our own cognitive system actually works.
The Master's programme Artificial Intelligence at Nijmegen has a distinctly cognitive focus where computational modeling is the central methodology used to understand naturally intelligent systems, build artificially intelligent systems, and improve the interactions between natural and artificial systems.
Depending on the area of study these models can range from behavioral models of millions of individuals interacting on the web, through functional models of human or robot decision making, to models of individual or networks of artificial neurons.
This cognitive focus leads to a highly interdisciplinary programme where students gain skills and knowledge from a number of different areas such as; mathematics and computer science to develop computational models, psychology and neuroscience to understand natural systems, and a core foundation of AI techniques to implement and evaluate these models in artificially intelligent systems.
Top Facilities
The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You will be able to use these facilities for developing new experimental research techniques, as well as for developing new machine learning algorithms to analyse the brain data and integrate them with brain-computer interfacing systems. You will also cooperate with the Behavioural Science Institute and work in its Virtual Reality Laboratory, which can be used to study social interaction between humans and avatars.
Specialisations
At Radboud University we offer the following specialisations:
Computational Cognitive Science - Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.
Human Centered Intelligent Systems - Developing intelligent machines and new ways for humans and machines to interact, as well as understanding cognition through human behavior.
Machine Learning and Neural Computing - Are you driven to push the boundaries of artificial intelligence and understand the inner workings of the brain? This AI Master’s specialisation enables you to explore both. Shape the future of AI by developing smarter AI systems and building advanced brain-inspired technologies.
If you have any questions, email us here: study-information@ru.nl
Learn more via the Radboud University contact form.
Information for international students
Application deadlines
Non-EU/EEA students
- The deadline for non-EU/EEA students who wish to apply for a scholarship is 31 January prior to the September intake. For the requirements and selection procedure for scholarships, please check our scholarship overview.
- The deadline for those not applying for a scholarship is 1 April for non-EU/EEA nationals for the September 2026 intake. You can apply for the September 2026 intake from 1 October 2025.
EU/EEA students
- The application deadline for EU/EEA students with housing assistance for the September 2026 intake is 1 May, and the deadline without housing assistance is 1 July. You can apply from 1 October onward for the 2026/2027 academic year.
The application deadlines for Master’s starting in February are 1 November for non-EU/EEA citizens and 1 December for EU/EEA citizens.
Fees and funding
Radboud University offers 3 different scholarships that are open to prospective Master's students from non-EU/EEA countries and who want to follow an English-taught Master's programme.
The Radboud Scholarship Programme offers talented, highly motivated, non-EU/EEA students with outstanding study results the opportunity to be awarded a partial scholarship for an English-taught Master’s programme.
NL Scholarship (for prospective students)
The NL Scholarship (formerly known as Holland Scholarship) is a partial scholarship for non-EU/EEA students who want to do their Master’s in the Netherlands.
Fulbright-Radboud Scholarships
The Fulbright Commission, sponsored by Radboud University, is offering scholarships for talented American students to study at Radboud University.
Qualification, course duration and attendance options
- MSc by research
- full time24 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Study Information
- study-information@ru.nl