Data Science @ UM

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.

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.

A smartphone displaying medical data on the screen

Education

Maastricht University offers data science education at all levels: bachelor's programmes, master's programmes and expert courses for professionals.

People collaborating on a coding or data science project

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

Researchers analyzing scientific data on a large screen

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

DigiMach: digitisation for SMEs

Digitisation is becoming more and more important, including for small and medium-sized enterprises (SMEs). DigiMach is a Euregional innovation project designed to help smaller companies in the metal sector move forward with digitisation. Maastricht University is one of the partners.

UMagazine DigiMach Anna Wilbik Rudolf Muller Rim Stroeks

Brightlands High Tech Agro: where robots and plants shape the future of horticulture

At Brightlands High Tech Agro humans will work alongside robots and drones. From its opening in june 2026, researchers, students, and businesses will collaborate here to build the future of horticulture, where technology and biology go hand in hand.

Leonard Lucas working with robot arms in the Brightlands High Tech Agro lab

New data and computing infrastructure enables the Einstein Telescope to listen for gravitational waves

Fourteen universities and companies from the Euregion are joining forces in the ETCETERA project. Together, they are developing an advanced data and computing infrastructure to help the Einstein Telescope detect and analyse gravitational waves.

Een illustraties van signalen die tussen sterrenstelsels reizen

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.

AI generated image of 2 Romans in a historically accurate setting playing a game

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.