RT @jermainkaminski: 1/3 I'm happy to contribute to #umwalks at @MaastrichtU with the goal of connecting students in times of loneliness. T…
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.
- 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
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Artificial Intelligence defines our well-being and welfare
Friday, January 29, 2021 -
Conference on causal data science brings together academics and industry experts
Tuesday, November 17, 2020Read moreOn 11 and 12 November, the Maastricht University School of Business and Economics and Copenhagen Business School hosted the Causal Data Science Meeting. The two-day conference brought together academics and industry experts who work on one of the most fundamental questions in data science: discerning cause and effect from mere correlation.
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IDS researcher wins grant about food health claims
Monday, September 21, 2020Read moreWhat can we learn about the health claims that manufacturers make about foods by applying data science?
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“I try to make the world a better place”
Wednesday, August 26, 2020 Read more -
Two awards NWO/NWA Idea generator
Thursday, July 9, 2020The NWO has awarded two grants to projects of the Maastricht Law and Tech Lab under its Idea Generator Programme.
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The first ever Women in Data Science Conference in Maastricht
Thursday, March 5, 2020Women in Data Science (WiDS) aims to showcase outstanding work done by women in the field. WiDS started at Stanford in November 2015 and has now evolved into a global conference with more than 200 events worldwide.
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Women in Data Science Datathon a big success
Friday, February 21, 2020Women in Data Science (WiDS) Datathon is a data-focused hackathon which invites students and faculty members from all backgrounds as well as practitioners from industry and government to participate in a global challenge.
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"I’m surprised by the recentness of the knowledge that I gained"
Monday, December 16, 2019Marc Pont, alumnus of the master's programme in Data Science for Decision Making, discusses the atmosphere, curriculum and job search.
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Research into Japanese puzzles prompts London adventure for master's student
Tuesday, November 26, 2019A love for Japanese culture snowballed into a London conference trip for Lianne Hufkens, master's student Artificial Intelligence.
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Mark Winands appointed as professor of Machine Reasoning
Monday, November 4, 2019Mark Winands has been appointed as professor of Machine Reasoning at the Department of Data Science and Knowledge Engineering (DKE).
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UM students develop #MeTooMaastricht Chatbot
Thursday, September 12, 2019 Read more -
DKE’s Class of 2019: what’s next?
Tuesday, July 16, 2019Following the graduation ceremonies on July 11 and 12, we asked four brand new graduates about their next steps in life. We also asked them to reflect – perhaps for the last time – on their time at DKE.
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FSE students place first in international hackathon
Tuesday, June 4, 2019A 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.
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Horizon 2020: data-driven law enforcement tools and a new take on architecture and design
Wednesday, May 22, 2019Two 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.
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Smart devices tailor their teaching to your emotions
Thursday, May 16, 2019For the European Horizon 2020 innovation project MaTHiSiS, researchers taught machines how to teach you by learning from watching you learn.
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New: Digital Society bachelor’s programme
Thursday, May 16, 2019 Read more -
Twenty million euros for fighting Alzheimer’s using big data
Monday, May 13, 2019The Province of Limburg, Maastricht UMC+ and Maastricht University (UM) are jointly investing €20 million in a new research institute, called BReIN (Brightlands e-Infrastructure for Neurohealth). The spiritual father of BReIN is Maastricht professor of Environmental Health, Jos Kleinjans.
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11 DKE students listed in Dutch ‘Top 500 tech talents under 26’
Wednesday, May 8, 2019Technology conference TNW catalogues 500 of the Dutch tech world’s most talented people under the age of 26. This year’s list – the T500 – features three alumni and eight current students of the Department of Data Science and Knowledge Engineering (DKE). Among them is Dirk Bongers, DKE master's student.
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Big data in healthcare
Thursday, April 25, 2019How can you further improve healthcare with the use of ‘big data’? That question is central to many scientific studies worldwide. Last month, two PhD candidates at Maastricht University defended their theses based on this same key question.
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Stella Maris Student Rick Okkersen (14) spins up a grin cryptocurrency miner in one day
Friday, March 29, 2019 Read more
Events
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4 hours 6 min ago -
@Ulrike_Felt @ChronosKairos3 a propos earlier exchange https://t.co/pT4k177HuE
Sally Wyatt via8 hours 16 min ago -
RT @SMaLLCaT4Sci: We've reordered https://t.co/7AjDCiTqBT portal from @WikiPathways into the @lipidmaps ontology; helping curators to find…
21 hours 53 min ago
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