Programme

In the Master’s programme Artificial Intelligence (AI) you will learn how to advance the study of brain and cognition by adopting typical AI tools, such as computer simulation, brain-computer interfacing and robotic design.

The programme has a distinctly cognitive focus where computational modelling 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 your interest, you can specialise in one of the following domains: Intelligent Technology and Cognitive Computing.

This programme has a unique character, focusing on connections between artificial intelligence and cognitive neuroscience. Understanding how the brain works and how it supports intelligent cognitive behaviour is essential for effective agent design. In turn, agent design can lead to hypotheses about how intelligent behaviour is realised by humans.

The programme is closely related to the research carried out by 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 the social interaction between humans and avatars.

Admission requirements

There are two specialisations that are part of the Master’s programme in Artificial Intelligence. Both specialisations have their own specific admission requirements. In order to be admitted to the Master’s programme in Artificial Intelligence, you will need to meet the general admission requirements as well as the specific requirements for the specialisation of your choice.

As an international student, your prior education must meet certain requirements.

1. A completed Bachelor's degree
A completed Bachelor's degree in Artificial Intelligence or a related programme with a comparable content that sufficiently prepares for an advanced master program in AI. An acceptable applicant should have:

  • Substantial knowledge of Computer Science (in particular sufficient programming experience and software development experience, at least 15-24 EC)
  • A sufficient Mathematics background (knowledge of calculus, linear algebra, statistics)
  • A broad knowledge of core Artificial Intelligence techniques (such as logic, machine learning, search & planning, reasoning under uncertainty) at an introductory level (12-18 EC)

Specialisation specific admission requirements for Cognitive Computing

In order to be eligible to this specialization, a candidate should also have demonstrable knowledge (at least 18-24 EC) in disciplines such as cognitive science or cognitive neuroscience as well as more advanced knowledge of Artificial Intelligence methods and techniques such as neural and Bayesian networks and computational and formal modelling.

Specialisation specific admission requirements for Intelligent Technology

In order to be eligible to this specialization, a candidate should also have demonstrable knowledge (at least 18-24 EC) in disciplines such as robotics, computational linguistics, or ambient intelligence as well as more advanced knowledge of Artificial Intelligence models and techniques such as data mining and multi-agent systems.

Language Requirements

In order to take part in this programme, you need to have fluency in both written and spoken English. This requirement has been satisfied when you meet one of the following conditions:

  • you have a Dutch vwo diploma; or
  • you are a citizen of Australia, Canada (with exception of Quebec), Ireland, New Zealand, United Kingdom, or the United States of America; or
  • You have successfully completed a Bachelor's programme that was taught completely in the English language in one of the following countries: EU/EEA-countries, Australia, Canada, New Zealand, United States of America.

All other students must obtain one of the following certificates (certificates may not be older than two years):

  • A TOEFL score of ≥575 (paper based) or ≥90 (internet based)
  • An IELTS score of ≥6.5
  • Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE) with a mark of C or higher.

Why study Artificial Intelligence at Radboud University?

  • Many of our graduates go on to do a PhD either in the Netherlands or abroad.
  • Two unique double degree options with Computing Science and Cognitive Neuroscience
  • Closely related to the DOnders Institute for Brain, Cognition and Behaviour, which has facilities for reserach such as EEG, fMRI and MEG
  • Close cooperation with the Radboud Behavioural Science Institute and the possibility to work in its Virtual Reality Laboratory

Deadlines

Programmes starting in September

  • Non-EEA students: 1 April
  • EEA students: 1 May

Quality label

This programme was recently rated ‘Best Programme’ in the Netherlands in the Keuzegids Masters 2016 (Guide to Master's programmes).

Program taught in:
  • English

See 30 more programs offered by Radboud University »

Last updated January 31, 2019
This course is Campus based
Start Date
Sep 2020
Duration
2 years
Full-time
Price
2,083 EUR
€2,083 for EEA / €12,645 for non-EEA students
Deadline
Apr 1, 2020
1 April (non-EEA students) or 1 May (EEA students)
By locations
By date
Start Date
Sep 2020
End Date
Application deadline
Apr 1, 2020
1 April (non-EEA students) or 1 May (EEA students)

Sep 2020

Location
Application deadline
Apr 1, 2020
1 April (non-EEA students) or 1 May (EEA students)
End Date