Do you want to know how you can predict the effectiveness of different medical treatments? How can you use social media data to detect the emergence of extremist behaviour? How can you predict environmental conditions using camera data? Or how you can find out the wants and needs of the audience, so you can tailor content to them?
If you are excited to learn about data science techniques and algorithms, but are also interested in being socially aware of the impact data science can have on the world, I would definitely recommend this programme.
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 that 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.
Why in Utrecht
- Multiple focus on the domains: Health Science, Economics, Geoscience, Social and Behavioural Science and Media Studies
- Multidisciplinary Master’s degree: by working together with people from a different academic background, you learn to look beyond your own domain.
- Apply your knowledge by working on problems faced by our partners, either as part of project assignments or your thesis. Previous collaborations include: the National Police, NPO, ZDF and University Medical Center Utrecht.
Key facts
- Degree:
- Applied Data Science (MSc)
- Language of instruction:
- English
- Mode of study:
- Full-time
- Study duration:
- 1 year
- Start:
- September
- 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:
- 60971
- Accreditation:
- Accredited by the NVAO
- Faculty:
- Science
- Graduate school:
- School of Natural Sciences
- Brochure:
- Request a brochure