Cognitive Neuroscience (Research) | Radboud University

Cognitive Neuroscience studies the cognitive and neural basis of mental processes such as perception, action, language, attention and memory. This relatively young discipline seeks to unravel the workings of the human brain.

At Radboud University, scientists from various faculties and top institutes have joined forces within the context of the Donders Graduate School for Cognitive Neuroscience (DGCN) to study the human brain. They closely work together, exchanging expertise and sharing state-of-the-art research equipment.

The Donders Institute for Brain, Cogntion and Behaviour has four research themes and these themes are also expressed by the Master’s programme in the form of four specialisations:

• Language and Communication; studies the acquisition, understanding and production of language
• Perception, Action and Control; studies basic sensorimotor aspects as well as the cognitive, contextual and social components of perception-action coupling
• Plasticity and Memory; studies the mechanistic underpinnings and behavioral consequences of long-term changes in neural structure and function
• Brain Networks and Neuronal Communication; studies the interaction between and within groups of neurons, and with the outside world

Admission requirements

• (The equivalent of) a Bachelor’s degree in linguistics, physics, biology, medicine, mathematics, physics, behavioural sciences or related discipline
• A proficiency in English: TOEFL score of ≥600 (paper based) or ≥250 (computer based) or ≥100 (internet based), IELTS score of ≥7.0, Cambridge Certificate of Advanced English (CAE) or Proficiency in English (CPE), with a mark of at least C.
• Plus the track-specific requirements outlined on the page for the specific track in which you are interested:

  • Admission requirements for Language and Communication

  • Admission requirements for Perception, Action and Control

  • Admission requirements for Learning, Memory and Plasticity

  • Admission requirements for Brain Networks and Neuronal Communication