Overview
In this Master’s specialisation in Machine Learning and Neural Computing, you will gain the skills and expertise to understand, design, and advance modern AI systems. Courses in mathematics and programming provide a solid theoretical and technical foundation, while dedicated modules on the societal implications and sustainability of AI equip you to develop technologies that align with human values and contribute positively to science, industry, and society. Within the programme, you can choose one of two tracks. With the Machine Learning track, you will develop deep technical expertise in core AI technologies and explore how these methods are applied in natural sciences, healthcare and industries. Or you can focus on the development of brain-inspired technologies by choosing the Neural Computing track. You will then dive into computational neuroscience and edge computing and develop your own neural-inspired system.
Future career opportunities
Graduates of our Artificial Intelligence Master’s specialisation enjoy excellent career opportunities—and many receive job offers even before completing their degree. A significant number of our graduates choose to pursue a PhD at leading research institutes or top universities, often continuing their work in machine learning or neural computing. Others take on roles in industry, applying their expertise in machine learning, data science, or brain-inspired technologies across a wide range of sectors. Our graduates are highly sought after by major tech companies such as Google, IMEC, and ASML, innovative startups and scale-ups, hospitals and healthcare providers, and governmental and non-governmental organisations. Some graduates have even founded their own AI-driven companies or joined early-stage startups, helping shape the next wave of intelligent technology.
Research
This Master’s programme is offered by the Department of Machine Learning and Neural Computing (MLNC), part of the internationally renowned Donders Institute for Brain, Cognition and Behaviour. The Donders Institute is home to more than 600 researchers and offers world-class research facilities, including advanced AI compute infrastructure, a robotics lab, a neuromorphic computing lab, a brain-computer interface (BCI) lab, as well as cutting-edge neuroimaging facilities (EEG, MEG, fMRI, FUS).
The MLNC department is at the forefront of research in machine learning and neural computing, with internationally recognized experts leading groundbreaking work in both fields. As a student, you'll have the opportunity to collaborate closely with these researchers—pushing the boundaries of AI and helping to shape a smarter, more sustainable future.
Accreditation
This programme is accredited by the NVAO (the Dutch-Flemish accreditation organisation).
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Visit programme websiteProgramme Structure
Artificial Intelligence is rapidly transforming society, raising important societal, ethical, and legal challenges. As an AI professional, you’ll need more than just technical skills—you’ll need a critical mindset and strong academic professionalism. All AI students follow a set of compulsory courses that provide this foundation. These courses prepare you to responsibly contribute to the development and application of intelligent systems in a global context.
There are 2 tracks to choose from in this programme: Machine Learning and Neural Computing.
Machine Learning
In the Machine Learning track, you will develop deep technical expertise in core AI technologies, including deep learning, diffusion models, large language models, and scientific machine learning.
Neural Computing
In the Neural Computing track, you will focus on the development of brain-inspired technologies that offer efficient, flexible alternatives to conventional AI.
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , EEA/EU
- Apply before , International
- Apply before , National
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- 31 January: non-EU/EEA applying for a scholarship
- 1 April: non-EU/EEA (with housing support)
- 1 May: EU/EEA (with housing support) to 1 July
Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Credits
Delivered
Campus Location
- Nijmegen, Netherlands
Disciplines
Cognitive Science Artificial Intelligence View 42 other Masters in Artificial Intelligence in NetherlandsExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
In order to be admitted to this Master's programme, you will need a completed Bachelor’s degree in Artificial Intelligence or a related area equivalent to a Dutch Bachelor's degree from a research university.
If you do not meet the admission requirements for the Master's specialisation in Machine Learning and Neural Computing, it might be possible to be admitted to the pre-Master's programme.
Language tests and scores
- TOEFL iBT
Minimum score: 100
Minimum subscores reading, speaking and writing: 4.5, listening: 5
- IELTS Academic
Minimum score: 7.0
Subscores: 6.5
- Cambridge C1 Advanced
Minimum score: 185
Minimum subscore: 176
- Cambridge C2 proficiency
Minimum score: 185
Minimum subscore: 176
- Pearson PTE Academic
Minimum score: 67
Minimum subscore: 61
- LanguageCert Academic
Minimum score: 75
Minimum subscore listening: 65, reading: 65, writing: 70, speaking: 75
The TOEFL Home Edition, IELTS Online, PTE academic Online and LanguageCert Academic Online are not accepted.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents19555 EUR / year≈ 19555 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals2771 EUR / year≈ 2771 EUR / year
Additional Details
- Statutory tuition fee €2,771.00 per year
- Institutional tuition fee EU/EEA €14,399.00 per year
- Institutional tuition fee non-EU/EEA €19,555.00 per year
Living costs
Nijmegen
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Radboud Scholarship Programme
The Radboud Scholarship Programme offers talented, highly motivated, non-EU/EEA students with outstanding study results the opportunity to be awarded a partial scholarship for an English-taught Master’s programme.NL Scholarship (for prospective students)
The NL Scholarship (formerly known as Holland Scholarship) is a partial scholarship for non-EU/EEA students who want to do their Master’s in the Netherlands.Fulbright-Radboud Scholarships
The Fulbright Commission, sponsored by Radboud University, is offering scholarships for talented American students to study at Radboud University.
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Scholarships Information
Below you will find Master's scholarship opportunities for Artificial Intelligence - Machine Learning and Neural Computing.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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