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.
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.
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.
Maastricht University offers data science education at all levels: bachelor's programmes, master's programmes and expert courses for professionals.
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.
A group of bachelor’s students of the Maastricht Science Programme (MSP) and Data Science and Knowledge Engineering (DKE) won the Eramet challenge at the VivaTechnology Hackathon in Paris during the weekend of 18 May.
Two new H2020 projects on the horizon for the Department of Data Science and Knowledge Engineering: Dr. Apostolis Zarras contributes to PREVISION and Dr. Alexia Briassouli strengthens the MindSpaces consortium.
For the European Horizon 2020 innovation project MaTHiSiS, researchers taught machines how to teach you by learning from watching you learn.