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Brain Networks and Neuronal Communication logo
Radboud University logo

Brain Networks and Neuronal Communication

Radboud University
Information last verified July 2026
Tuition EUR 10,360 (Tuition (Year)) — International students; EUR 2,006 (Tuition (Year)) — EU/EEA students
Degree MSc
Duration 24 months
Deadline Nov, 2026
Delivery On-campus
Location Nijmegen, Netherlands
Language English

Program Overview

The Brain Networks and Neuronal Communication at Radboud University is a MSc programme in Communications & Media over 24 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.

Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of communications & media. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.

Graduates of the Brain Networks and Neuronal Communication programme are well-prepared for careers in academia, industry, government, and the private sector across Netherlands and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.

Key Program Features

  1. Duration: 24 months
  2. Language of instruction: English
  3. Study mode: On-campus
  4. English requirement: IELTS 7
  5. Tuition: EUR 10,360 (Tuition (Year)) — International students; EUR 2,006 (Tuition (Year)) — EU/EEA students
  6. Location: Nijmegen, Netherlands

Career Opportunities

Graduates of the Brain Networks and Neuronal Communication programme are prepared for diverse careers in communications & media:

  1. Journalist
  2. PR Manager
  3. Content Strategist
  4. Media Producer
  5. Digital Marketing Manager
  6. Communications Officer

Program Curriculum

Course Structure

  1. Trends in Cognitive Neuroscience
  2. Neuroimaging I
  3. Neurophilosophy
  4. Lab rotation
  5. Neuroimaging II: Haemodynamic Methods OR Neuroimaging II: Electrophysiological Methods
  6. Neuroanatomy
  7. Basic Statistics
  8. Basic Mathematics
  9. Advanced Math
  10. Practical ERP Training
  11. Academic Writing
  12. Computational Neuroscience
  13. Quantitative Brain Networks
  14. Advanced Neuroscience Techniques
  15. Brain-Computer Interfacing Practical Course
  16. Computational Cognitive Neuroscience
  17. Machine Learning
  18. Cognition and Complexity
  19. Communication in Cognitive Neuroscience
  20. Capita Selecta Cognitive Neuroscience
  21. Auditory Perception and Technology

Admission Requirements

Academic Requirements

The research Master’s programme in Cognitive Neuroscience is highly selective. Applicants will be screened individually to ascertain whether they are eligible. An interview (in person or via Skype) may be part of the selection process.

1. A Bachelor\'s degree in Linguistics, Physics, Biology, Medicine, Mathematics, Behavioural Sciences, Artificial Intelligence or a related discipline (no more than five years old).

2. English proficiency. Students do not require English language certification if they:

  • Are a citizen of Australia, Canada (except Quebec), Ireland, New Zealand, Singapore, UK, USA, or South Africa; or
  • Have a Dutch Bachelor\'s degree or VWO diploma.

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

  • A TOEFL score of >=600 (paper based) or >=250 (computer based) or >=100 (internet based)
  • An IELTS score of >=7.0
  • Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE) with a mark of C or higher

3. Demonstrable knowledgeof the following areas (either 1, 2 and 3 OR 1, 2 and 4):

  • Mathematics (e.g., calculus, linear algebra, vector analysis, fourier series and transforms, ordinary differential equations (e.g., Boas, M.L., 2006 ‘Mathematical methods in the physical sciences’)
  • Electromagnetism and calculus-based introductory physics (e.g., Boas, M.L., 2006 ‘Mathematical methods in the physical sciences’)
  • Neuroscience (e.g., Kandel, E. & Schwartz, J., 2013 ‘Principles of neural science’ or Purves, D., 2012 ‘Neuroscience’).
  • Artifcial intelligence (e.g., robotica, computational modelling) (e.g., Poole, D.I.R. & Mackworth, A.K.P., 2010 ‘Artificial Intelligence, foundations of computational agents’).
  • To give you an indication of the content and level of knowledge you need in each of these areas, we have suggested handbooks that meet the level we expect from our candidates.

    English Proficiency: IELTS 7 or equivalent.

    Tuition & Financial Information

    Tuition Fee

    EUR 10,360 (Tuition (Year)) — International students; EUR 2,006 (Tuition (Year)) — EU/EEA students

    Tuition fees: EUR 10,360 (Tuition (Year)) — International students; EUR 2,006 (Tuition (Year)) — EU/EEA students

    IELTS requirement: 7

    Financial Aid & Scholarships

    Contact Radboud University directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.

    About Radboud University

    Radboud University logo

    Radboud University

    Nijmegen, Netherlands

    Visit the university profile page to learn more about this institution.

    University Profile
    • Application Deadline Nov, 2026
    • Start Date Feb, 2027
    • Language English
    • Duration 24 months