Are you curious about...

  • pushing existing data science technologies to higher levels?
  • designing new theories and tools for data analysis?
  • understanding how data science can be used to solve urgent problems facing society, like inequality, world hunger, and global warming?
  • translating challenging questions into technical solutions that produce valuable insights about real life or business operations? 

Become the Data Scientist of the future

Data scientists collect, clean, integrate, analyse, and visualise data to make predictions, understand the impact of unseen events and optimize the way certain tasks are done. The research Master’s in Data Science aims at creating the data scientists of the future that go beyond applying existing analytical tools, algorithms, and machine learning principles. It enables you to advance the existing technologies, make the necessary breakthroughs, and push the boundaries of data science far beyond what we are capable of doing today. It prepares you for a research career (PhD) or for an industrial career in high level positions that require open and collaborative minds to drive innovative Data Science solutions.  

Go to study programme

Data Science: the essential component for AI

Data scientist are fundamental for AI. Modern AI solutions cannot be materialised without the advanced methods to identify the data that matters, the techniques to efficiently manage those massive volumes, the tools to apply the necessary computational techniques, or the ways to effectively communicate the results.  

This programme operates in parallel to the Master’s in Applied Data Science, that instead aims on how to apply existing data science solutions in different application domains, and the Master’s in Artificial Intelligence that focus specifically on the design and development of algorithms techniques and models to analyze and build intelligent systems. 


Data Science is a selective research Master’s programme. Do you want to know if you are eligible for this Master's? 

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.  

Key facts

Informatica (MSc)
Language of instruction: 
Mode of study: 
Study duration: 
2 years
September, February
Tuition fees: 
Dutch and other EU/EEA students (statutory fee, full-time) 2024-2025: € 2,530

Non-EU/EEA students (institutional fee) 2024-2025: € 23,765

More information about fees
Croho code: 
Accredited by the NVAO
Graduate school: 
School of Natural Sciences
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