Radboud University is a private university that owes its origins to the Catholic emancipation movement of the early twentieth century. In keeping with this tradition, staff and students feel a commitment to one another, to society and to the world. Our focus is on caring for each other and the world around us. We remain committed to the empowerment of social and cultural minorities. We want to have an impact, and in this we are guided by both academic questions and societal challenges.

Founded in 1923, Radboud has a strong tradition of high-quality and internationally accredited education and research. Leading academics and excellent professors help you with everything you need at a research university ranked in the top 1% worldwide. Renowned for its green campus in the oldest city in the Netherlands, Radboud University counts over 20,000 students, with 1 in 9 students coming from abroad. Our personal style of teaching provides plenty of opportunities to work closely with lecturers and fellow students with a multidisciplinary approach and the flexibility to tailor programmes to your interests.

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Understanding biological intelligence and developing artificial intelligence are highly synergetic research endeavors. To do either we must do both. In this interdisciplinary specialisation, you follow both directions with a focus on research. In this Master's specialisation in Artificial Intelligence you learn how models based on neural information processing can be used to develop artificial systems, such as neuromorphic hardware and deep neural networks, as well as the development of new computational models, machine learning approaches, and classification techniques to better understand how the human brain realizes cognition. You will learn about fundamental questions with respect to brain and cognition, like how we can explain and make sense of our sensory inputs, and how the brain can be so remarkably efficient given bounded resources. Show less

Study programme
Compulsory courses
Artificial Intelligence is immersive and has a huge impact on society. All students in Artificial Intelligence must be aware of the societal, ethical and legal impact of AI. Machine Learning is one of the most prominent techniques by which intelligent systems are developed. Finally, all AI students are trained to be academic professionals and need the academic and professional skills and mind-set that come with such positions. The courses Advanced Academic & Professional Skills, Ethics for AI, and the AI Research Colloquium provide you with this background. Furthermore, a choice of one Machine Learning course must be made from a list of four.

Specialisation courses
A total of 18EC must be chosen out of a number of specialisation courses.

Specialisation electives
Within the 18EC of the specialisation electives, you can choose any remaining electives within your specialisation to further deepen your knowledge or any of the specialisation electives as published in the Course guide

Free electives
Finally, you have a total of 18 EC of free electives that can be used to take any (AI relevant) course taught at Radboud University, or abroad.

Research Project and Internship
To finalise your AI master's programme, you have the choice of either an Internship (15 EC) and Research Project (30 EC) or a single larger Extended Research Project (45 EC). During the internship you have the chance to acquire additional AI relevant skills either at a research lab or at a company. During the Research Projects you get to put what you have learned during your master's programme into practice. You can perform your research work in the AI department, at other research departments at the University (e.g. the Behaviour Science Institute or Donders Institute) or at an external company (such as Philips or TNO). You are also encouraged to go abroad for your internship and/or research project (previously students have gone to Stanford University in California and Aldebaran Robotics in Paris).

Exceptional students that fulfill the admission criteria can apply for a double Master's programme with either Data Science or with Cognitive Neuroscience. With (maximally) 60 EC of overlapping courses you can obtain both Master's programmes in nominally three years of study.

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You will need to book the accommodation after you have been accepted.

You can choose to live on campus or off campus in private accommodation.

How to book:

• Make a booking online after you have been accepted (in this case please let us know your choice when you apply).
• Register when you arrive - its not possible to reserve a room before arriving. You can arrive a few days before and book it

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