Founded in 1992, DKE is a fast-growing department undertaking research to advance the fields of artificial intelligence, data science, computer science, applied mathematics and robotics. Furthermore, DKE maintains a large network of industry partners through the award-winning KE@Work programme and through our research collaborations.
The department provides education through one bachelor’s programme and two master’s programmes, all of which are nationally ranked #1 in their category according to the Keuzegids ranking.
Research at the Department of Data Science and Knowledge Engineering spans the disciplines and interfaces of artificial intelligence, data science, computer science and applied mathematics.
We develop new tools and methodologies to advance these fields. At the same time, we collaborate with a wide range of institutes both within and outside of Maastricht University and work on diverse applications, including in the fields of health and medicine, logistics, biology, art, physics, cybersecurity, neuroscience and education.
A 3-year bachelor's programme offering a unique combination of artificial intelligence, computer science and mathematics.
A 2-year master's programme with a focus on simulating human intelligence for a wide variety of applications: from game design to patient diagnosis.
A 2-year master's programme with a focus on extracting valuable information from large datasets for widespread applications such as: scheduling customer service agents and optimising supply chains or modelling biological processes.
BNR Nieuwsradio’s show 'Wetenschap Vandaag' (‘Science Today’) spoke with Dr. Cameron Browne. (Report in Dutch)
Cedric Oeldorf’s MSc thesis resulted in LoGAN v2: an AI that creates high-quality logos. Tech website Venturebeat discussed the preprint. (Article in English.)
After featuring on The Register, the chatbot prototype received attention from newspapers across Europe:
Prof. Dr. Gerhard Weiss, chair of the Department of Data Science and Knowledge Engineering answers the question: what is knowledge engineering?