The Department of Data Science and Knowledge Engineering's teaching takes place in the bachelor's programme Data Science and Knowledge Engineering and two master's programmes Artificial Intelligence and Data Science for Decision Making.
Data Science and Knowledge Engineering
A 3-year programme offering a unique combination of computer science, mathematics and artificial intelligence.
A 2-year programme with a focus simulating human intelligence for a wide variety of applications: from game design to patient diagnosis.
Data Science for Decision Making
A 2-year programme with a focus on extracting valuable information from large datasets for widespread applications such as: optimising supply chains or modelling biological processes.
DKE education news
DKE’s Class of 2019: what’s next?Tuesday, July 16, 2019
Following 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.
FSE students place first in international hackathonTuesday, June 4, 2019
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.
11 DKE students listed in Dutch ‘Top 500 tech talents under 26’Wednesday, May 8, 2019
Technology 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.
Rankings and awards
DKE student handbook
This study guide provides information on the educational programme of the Department of Data Science and Knowledge Engineering (DKE) part of the Faculty of Science and Engineering (FSE).
Project-Centred Learning (PCL) is a teaching method used in all of the Department of Data Science and Knowledge Engineering’s programmes. Students study in small groups and the gained knowledge is applied to projects linked to the curriculum. The results of these projects are presented to teachers and fellow students.
Projects have included:
- Intelligent search engines
- Vision recognition systems
- Traffic simulation
- Analysis of ECGs
- Interactive mathematics courses
PCL incorporates a number of important skills that are important to future employers. These skills include:
- Interview techniques
- Project planning
- Presentation techniques
- Working in teams
At DKE, students are continuously exposed to interesting projects. Individual and group projects help our students to test their newly obtained knowledge and improve their abilities to solve real-world problems. Please note that due to work on cutting-edge technologies also in collaborations with outstanding companies, only a fraction of our past student projects are shown. Many project results have to be kept confidential due to non-disclosure agreements.
Maastricht University issues a Diploma Supplement (DS) for its degree programmes. The DS is issued in English, given automatically and free of charge to every student upon graduation.
The DS is an internationally recognised document attached to the diploma in which the nature, level, context, content and status of the successfully completed degree programme is evaluated independently, as stated in the certificate in question of which the DS forms an integral part. It is free from any value judgments and concerns exclusively the degree programme followed by the student. The aim of the Diploma Supplement is to stimulate international ‘transparency’ and recognition of certificates obtained at home or abroad.