Overview
The Master's specialisation in Data Science and AI at Radboud University trains you to become a curious, creative, and competent data scientist. As an academic, we do not just expect you to understand and make use of the appropriate tools, but also to program and develop your own.
You will follow core courses in machine learning, information retrieval, and probabilistic modeling, and can then delve deeper into different application areas such as natural language processing, medical pattern recognition, neuroimaging, business rules and/or bioinformatics. You’ll learn how to turn data into knowledge with the help of computers and how to translate that knowledge into solutions.
Future career opportunities
The job perspective for our graduates is excellent. Industry desperately needs data science specialists at an academic level, and thus our graduates have no difficulty in find an interesting and challenging job. A few of our graduates decide to go for a PhD and stay at the university, but most of our students go for a career in industry. They then typically either find a job at a larger company as consultant or data analysis, or start up their own company in data analytics.
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Visit programme websiteProgramme Structure
The first year builds a strong foundation in data science and artificial intelligence through courses in machine learning, statistics, data modelling, algorithms, and intelligent systems, alongside electives to deepen your specialisation.
In the second year, you focus on applied research, projects or internships with real-world datasets, and complete a Master’s thesis that integrates theory, data analysis, and practical problem-solving.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 , National
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- Starting
- Apply before , International
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- EU/EEA: 1st May (with housing support) to 1st July
- Non-EU/EEA: 1st April (with housing support)
- 31 January for non-EU/EEA students applying for a scholarship
Language
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Credits
Delivered
Campus Location
- Nijmegen, Netherlands
Disciplines
Computer Sciences Data Science & Big Data Artificial Intelligence View 44 other Masters in Computer Sciences 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
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
Completed Bachelor’s degree (or equivalent) from a research university (WO) in Computing Science, Artificial Intelligence, Mathematics, or a closely related discipline with strong quantitative and programming content.
- Bachelor’s programme must include coursework in mathematics, programming, theoretical computing science, data analysis, and machine learning, as well as a Bachelor’s final project or thesis.
- Demonstrable familiarity with research methods, academic writing and critical thinking.
- Sufficient proficiency in English via diploma or standard test.
- For candidates with a Bachelor’s from a University of Applied Sciences (HBO): may be required to complete a customised Pre-Master’s programme.
Make sure you meet all requirements
Visit programme websiteTuition Fees
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International Applies to you
Applies to youNon-residents19714 EUR / year≈ 19714 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals2695 EUR / year≈ 2695 EUR / year
Additional Details
- Statutory tuition fee: €2,695 per year.
- Institutional tuition fee (EEA): €14,709 per year.
- Institutional tuition fee (non-EEA): €19,714 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: 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.
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and AI.
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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