Behind every useful AI system are decisions about what data to collect, how to make it reliable, how to process it at scale, and how to test whether the results make sense. Want to do more than use today's tools? Learn to build the methods and systems that make tomorrow's discoveries possible.
 

Go to study programme

In Utrecht University's two-year Research Master's in Data Science, you explore the entire journey from raw data to new knowledge: preparing and representing data, designing data-intensive systems, discovering patterns, developing machine-learning methods, and visualising results. You learn not just to apply techniques, but to question their limits and develop better ones. This is a programme for curious problem-solvers who want to advance data science through research—and use that research to make a difference.

What will you work on?

What happens when medical data come from different hospitals and do not fit together? How do you make a machine-learning result understandable enough to examine critically? How can you find patterns in vast datasets without losing sight of bias or uncertainty? These are data-science questions: they demand sound data, strong methods, and careful interpretation—not just a powerful model. At Utrecht, you can shape your studies around your interests, with courses in areas such as Data Wrangling, Data-Intensive Systems, Data Visualization, and Deep Learning. A substantial independent research project gives you the opportunity to investigate a question in depth and contribute your own solution.

Social Impact

The same research skills can make a difference across many fields. Better ways to combine and analyse health data can support medical research; methods for exploring complex networks can help researchers investigate how systems behave; and clearer visualisations can help people assess evidence before making decisions. Rather than training for a single application, you develop approaches that can be adapted to new problems in science, industry, and society.

Related Master’s Programmes

Which path fits your ambitions? The two-year Research Master's in Data Science focuses on creating and advancing data-science methods and systems across the data lifecycle. The one-year Applied Data Science programme focuses on applying existing methods in different domains. The two-year Research Master's in Artificial Intelligence concentrates on the design and development of intelligent systems and AI models. You can also explore the possibilty of a double degree with Artificial Intelligence.

Admission

This is a selective research Master's for applicants who are motivated to investigate challenging questions and have a strong foundation in computing and related disciplines. Check the formal requirements to see whether your background is a fit. 

Check the entry requirements

Why in Utrecht

  • We offer a unique, holistic approach to all the research domains in the data processing pipeline, from data preparation to analysis and visualisation.
  • Focus on algorithm development, system building, and architectural design, advancing the field of data science to new levels, creating novel, innovative solutions. 
  • The courses are taught by distinguished researchers in the respective research communities. 
  • The programme is part of a rich ecosystem that includes the Utrecht AI Labs, organisations like TNO, the UMC, and other private businesses. This allows students to experience interactions with respected organisations in the field, e.g., through internships, specialize, and also apply their research to specific real-life domains.
  • At Utrecht University’s Lili's Proto Lab, you can turn your ideas into working prototypes—whether through 3D printing, woodworking, or soldering. Have a research concept you would like to explore hands-on? Bring your idea, and they’ll help you make it yourself.

Key facts

Degree: 
Informatica (MSc)
Language of instruction: 
English
Mode of study: 
Full-time
Study duration: 
2 years
Start: 
February, September
Tuition fees: 
Dutch and other EU/EEA students (statutory fee, full-time) 2026-2027: € 2,694

Non-EU/EEA students (institutional fee) 2026-2027: 25,306

More information about fees
Croho code: 
66978
Accreditation: 
Accredited by the NVAO
Faculty: 
Science
Graduate school: 
School of Natural Sciences
Brochure: 
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