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

Regio Deal Noord-Limburg accelerates research into robotics, AI, and autonomous cultivation

Researchers

With funding from the Regio Deal Noord-Limburg II, Maastricht University is stepping up its ambitions in Venlo. Thanks to this investment, the university can further expand its research into robotics and artificial intelligence for autonomous systems in horticulture.

Brightlands High Tech Agro phase 2 artist impression

Responsible use of AI at school starts with parents

It’s a fear shared by many parents and teachers: students who don’t do their schoolwork themselves, but have it done by AI tools such as ChatGPT. The concerns are not unfounded. Nonetheless, education also stands to gain a great deal from the safe and effective use of artificial intelligence.

CS@Work Pitch & Matching Events 2026: From First Impressions to Matches

The Pitch Event on 17 April featured 16 projects from 12 organisations, presented through short, focused pitches that gave students a clear overview of available opportunities. Breaks allowed informal conversations, and DACS alumni shared insights from their current roles.

Count your cards and do your maths!

By designing a card game, maths tutors at the Department of Advanced Computing Sciences increase their student’s engagement with linear algebra.

Students playing the linear algebra game

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.