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new programme!

Do you want to know…

  •  How you can predict the effectiveness of different medical treatments?  
  •  How you can use social media data to detect the emergence of extremist behaviour? 
  •  How you can predict environmental conditions using camera data?  
  •  How, as a media producer, you can find out the wants and needs of your viewers, so you can tailor your content to them?  

If you’re interested in questions like these, the Applied Data Science Master’s programme at Utrecht University might be it for you! 


Similarities in data challenges across different fields

The amount of data in the world has grown dramatically over the past few years and continues to do so. With this, there is a growing need to effectively and safely put this data to use. As opposed to fundamental research into data science, the field of Applied Data Science is unique in that it recognizes similarities in data challenges across different fields. In this Master’s programme, we’ll examine the optimal ways to utilise those data. In the process, we’ll look at how to turn old data into new data and use it to solve problems within a variety of domains. 

One-year fast-paced academic Master’s programme

In this one-year fast-paced academic Master’s programme, you’ll learn how to apply data science techniques in four different focus domains. This knowledge will be combined with your own domain-specific knowledge to create considerable added value. 


Become a data science professional with excellent analytic capabilities


Degree: This Master's programme is officially registered under its name in the Central Register of Higher Education Study Programmes
  • Title: MSc
  • Profession: Data Scientist
  • Master's degree in: Applied Data Science
  • Programme: Applied Data Science
Accredited by the NVAO
Croho code:
Language of instruction:
Part- or full-time status:
1 year
Credits: 60 credits equals one year full-time study load (European Credit Transfer System, ECTS)
Start of studies:
Application deadline:
  • September: Dutch & EU/EEA students: 1 June
  • September: Non-EU/EEA students: 1 April
Tuition fees:
Graduate school:
Natural Sciences