Study programme

The brain contains many ingenious networks of billions of interconnected neurons. Can you imagine that, together, they have an information processing capacity and flexibility that far exceeds modern supercomputers, or any artificial intelligent system? In this specialisation, we aim at unravelling the neuro-computational mechanisms of this fascinating, complex system and use this knowledge for relevant applications, such as robotics and neuro-technology.


The major topics in the Neurophysics specialisation are:

Sensory-motor integration

We study sensorimotor control mechanisms (eye-head-hand coordination), sensory processing (vision, audition, touch, and balance), and memory and learning. We also identify their underlying neuro-computational processes, their relevance for robotics and neuro-technology, like the development of neuro-prostheses, and the clinical implications in case of malfunction.

Machine learning, Neuroinformatics, and Artificial Intelligence

The computational and theoretical analysis of complex neural networks, ranging from simulating large-scale interactions between individual neurons, to communication between different brain areas, and the closed-loop interactions between brain, body and environment. The theoretical work focuses on the development of machine-learning and artificial intelligence models, and on the applications of optimal control.


  • Curriculum of Neurophysics

    The Master’s specialisation in Neurophysics has a course load of 120 EC (two years). The programme comprises of compulsory courses, supplemented by electives. You end the programme by writing a Master's thesis. 

    View curriculum

Study abroad

During your Master's programme, you will have the opportunity to go abroad for your studies, internship and/or thesis. You will learn to look at things from the perspective of a different culture and you will meet new people; it is an experience that will enrich your life. What’s more, it will look great on your CV. Please see the Radboud International web page for information about meetings, scholarships, internships and other practical information.

Additional challenge

Do you want an extra challenge during your studies? Do you find it interesting to think about current, social themes from different academic perspectives? Discover what the Radboud Honours Academy has to offer to achieve your maximum potential during your time as a student.

Synergy tracks

Within some Master's programmes at the Faculty of Science, you have the possibility to follow a synergy track; a pre-set elective track in which you can combine multiple areas of research. 

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Computational and Data Science

Data science and computational methods play an increasing important role in modern science as well as in industry and society. In the synergy track Computational and Data Science (15 EC) we use different disciplines in the Faculty of Science that are engaged in computational modeling and data science.