Data Science @ UM
Source: https://www.maastrichtuniversity.nl/research/data-science-um Parent: https://www.maastrichtuniversity.nl/
Vast amounts of data are being generated across all segments of society. If taken advantage of, these data offer an unprecedented opportunity to accelerate scientific discovery, to improve healthcare and wellbeing, and to strengthen our communities. Data Science is an interdisciplinary field concerning the scientific methods, systems and workflows used to obtain insights from data.
Value proposition
We are a pioneering, university-wide network of data-driven researchers at an institution with more than 25 years’ experience in Data Science education and research. Our community consists of multidisciplinary teams that address significant scientific problems and major societal issues through and related to data science including social, legal and ethical concerns in a wide range of academic disciplines.
- University-wide network
- 25 years experience
- Multi-disciplinary teams
Research
Our researchers advance the state of the art in data science methods, tools, and infrastructure, use these in a broad set of societally relevant applications, and study the nature, emergence and consequence of the digital society.
Education
Maastricht University offers data science education at all levels: bachelor's programmes, master's programmes and expert courses for professionals.
Community
Experts in Data Science from different application fields will meet in multi-disciplinary teams to share and combine their knowledge in order to create data driven innovations
How can we use data science to create knowledge that strengthens and empowers society? The data science community at Maastricht University helps provide the answers.
News
Thanks to AI, we can play a Roman game again
A rectangle incised with diagonal and straight lines, hewn from limestone quarried in France, a thrilling strategy game can look deceptively simple. The Romans used glass, bone or earthenware pieces. Players took turns trying to block each other’s pieces; whoever did it in the least number of moves.
New master in Responsible Data Science: for ethical and sustainable AI developments.
As of September 2026, the new Responsible Data Science master’s programme at Maastricht University prepares students to become professionals who deploy artificial intelligence and other digital technologies with respect for both people and the planet.
UM Medallion of Honour and named award mark the valedictory lecture of education innovator Frank Thuijsman
The UM Medallion of Honour and the first FSE Frank Thuijsman Award; Maastricht University ensured that Frank Thuijsman did not depart quietly into retirement. Thuijsman is the founding father of KE@Work and was involved in the beginning of English-language instruction and project based education.
Nava Tintarev takes a leading role in national computer science platforms
As of January 2026, Nava Tintarev, Professor of Explainable AI at Maastricht University’s Department of Advanced Computing Sciences (DACS), will join the boards of two of the Netherlands’ most prestigious computer science platforms.
Companies unlock Maastricht University’s hidden talent
@Work students serve as a bridge between academia and industry, helping companies recognise the university’s strengths. “We’re a hidden gem that’s gradually being discovered, as more and more people learn that we are one of the largest academic data science and AI programmes in the Netherlands