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Computation in Neural and Artificial Systems logo
Radboud University logo

Computation in Neural and Artificial Systems

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 Computation in Neural and Artificial Systems at Radboud University is a MSc programme in Computer Science & IT 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 computer science & it. 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 Computation in Neural and Artificial Systems 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 6.5
  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 Computation in Neural and Artificial Systems programme are prepared for diverse careers in computer science & it:

  1. Software Engineer / Developer
  2. Data Scientist
  3. Machine Learning Engineer
  4. IT Project Manager
  5. Cybersecurity Analyst
  6. Cloud Solutions Architect

Program Curriculum

Course Structure

  1. Computational Cognitive Neuroscience
  2. Cognition and Complexity
  3. Brain-Computer Interfacing Practical Course
  4. Natural Computing (6 EC)
  5. Statistical Machine Learning (6 EC)
  6. Bayesian Networks (6 EC)
  7. Machine Learning in Practice (6 EC)
  8. Computational Neuroscience (6 EC)
  9. Perceptionc (6 EC)
  10. Motor Controlc (6EC)
  11. Neuroimaging II: Haemodynamic Methodsc (6 EC)
  12. Neuroimaging II: Electrophysiological Methodsc (6EC)

Admission Requirements

Academic Requirements

1. A Bachelor\'s degree in Artificial Intelligence or a related discipline (such as Computer Science or Cognitive Science).

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 >=575 (paper based) or >=232 (computer based) or >=90 (internet based)
  • A 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

English Proficiency: IELTS 6.5 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: 6.5

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