Artificial Intelligence

Entry requirements

Admission

For additional information on the admission requirements, please visit our website.

Months of entry

February, 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:

Cogntive Computing - 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.

Intelligent Technology - Developing intelligent machines and new ways for humans and machines to interact, as well as understanding cognition through human behavior.

If you have any questions, email us here: study-information@ru.nl

Learn more via the Radboud University contact form.

Fees and funding

There are various scholarships available for studying at Radboud University. Some of the opportunities are described below. A full list, including detailed information, can be found on our website.

• Radboud Scholarship Programme
• Fulbright-Radboud Scholarships