Radboud University

Master in Data Science

Netherlands

The Master in Data Science at Radboud University is a 2 year long program for international students taught in English.

Introduction

Radboud University, located in Nijmegen in the Netherlands and founded in 1923, combines a clear social mission with strong academic credentials. Rooted in a tradition of community commitment, the university emphasizes mutual care, inclusion of cultural minorities, and research that engages with real societal challenges. Its green campus and collegial atmosphere help international students feel welcome while they pursue rigorous study in a supportive setting.

Academically, Radboud is research-led and internationally recognized, with many units ranked among the world’s best. The university hosts numerous research institutes and offers 77 programmes across disciplines, enabling interdisciplinary study and the flexibility to tailor learning paths. With around 24,633 students, of whom roughly 3,273 come from abroad, students benefit from small-group teaching, close faculty interaction, and opportunities to join research projects and supervised practical work.

Student life in Nijmegen blends active campus engagement with rich cultural offerings in one of the Netherlands’ oldest cities. Career services, internships, and strong links to industry and public organisations support graduate employability, while international offices provide practical guidance on housing, visas, and integration. For students seeking a values-driven institution that pairs high-quality research and teaching with a personal learning environment, Radboud offers a compelling balance of academic excellence and community-minded living.

About the Program

The Master in Data Science at Radboud University is a 2-year program for students who want to turn data into knowledge and solutions. This English-taught program helps you become a curious and competent data scientist.

The curriculum includes courses in machine learning, information retrieval, and probabilistic modeling. You will also learn about natural language processing, medical pattern recognition, and neuroimaging. The program has a strong research focus, with a research internship and a master's thesis.

After graduating, you can work as a Data Scientist, Data Analyst, Business Intelligence Developer, or Machine Learning Engineer. You can find jobs in industries like healthcare, finance, or technology, and work for companies like Google, Microsoft, or IBM.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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