This programme is designed for students with a background in Artificial Intelligence or related disciplines with a focus on AI
Gain the skills to advance the study of the brain and cognition through typical AI tools
Explore the leading methods in computational modelling to understand naturally intelligent systems, building artificially intelligent systems, and improve the interaction between them
Prepare for a career in data science, academia, R&D, software development, machine learning, policy advisor and more
Why study Artificial Intelligence at Radboud University?
The Master's programme in Artificial Intelligence at Radboud has a distinctly cognitive focus, centred around computational modelling. We offer students two exciting specialisations: cognitive computing and intelligent technology.
Radboud also offers two unique double degree options in combination with the AI programme: computing science, and cognitive neuroscience.
At Radboud, you will also have access to other great research institutes. This programme works closely with the Donders Institute for Brain, Cognition and Behaviour, conducting research in EEG, fMRI, and MEG. This programme also cooperates with the Radboud Behavioural Science Institute and its Virtual Reality Laboratory.
Radboud is also proud of its record in regards to graduates, who often go on to do a PhD or are offered jobs even before graduation.
What will you learn?
In the Master’s programme Artificial Intelligence, 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.
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.
Graduates from this programme could find work as:
Machine learning experts
Programme leaders for R&D
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.
Applicants 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) - 12 EC
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.
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, Ireland, United Kingdom, 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 iBT score of ≥90
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.
Programmes starting in September
Non-EEA students: 1 April
EEA students: 1 May
This programme was recently rated ‘Best Programme’ in the Netherlands in the Keuzegids Masters 2016 (Guide to Master's programmes).