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.
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.
In 2016 Marta Dávila Mateu, now a graduate of Data Science and Knowledge Engineering, moved to Maastricht, a city completely unknown to her. Her choice turned out to be a double-edged sword. She found the lack of skate culture depressing, but enjoyed her studies, especially the focus on the mathematics behind data.
Maastricht University will become the first Dutch university to enter the IBM Q Network. The goal of the collaboration is to develop the high-performance computation power required for two next-generation advanced physics detectors.
The Netherlands Organisation for Scientific Research (NWO) has awarded a KLEIN-1 grant to Dr. Steven Kelk. He will explore the mathematics behind shrinking the sometimes impossibly huge evolutionary trees.