Education
The Department of Data Science and Knowledge Engineering's teaching takes place in the bachelor's programme Data Science and Artificial Intelligence and two master's programmes Artificial Intelligence and Data Science for Decision Making.
We also offer an exchange programme for students looking to study abroad.

Data Science and Artificial Intelligence
Bachelor's programme
A 3-year programme offering a unique combination of computer science, mathematics and artificial intelligence.

Artificial Intelligence
Master's programme
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
Master's programme
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
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Everyone wins: Data Science and Artificial Intelligence students work on business cases
Thursday, February 4, 2021The bachelor’s programme in Data Science and Artificial Intelligence now offers the opportunity – in collaboration with Brightlands-based BSSC and BISS – for third-year students to complete a semester project with a company or organization.
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Data Science and Knowledge Engineering bachelor's programme changes name
Tuesday, September 1, 2020As of 1 September 2020, the programme is named Data Science and Artificial Intelligence.
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First-year bachelor’s students rescue kidnapped professor
Friday, August 28, 2020150 unsuspecting students took part in an alternate reality game last Monday. Within 30 hours of starting their introduction to the bachelor’s programme at the Department of Data Science and Knowledge Engineering, they collectively defused a bomb and emerged as heroes.
Rankings and awards
Artificial Intelligence is the #1 'Artificial intelligence' master's programme in the Netherlands
Keuzegids Masters 2019Data Science for Decision Making is the #1 computer science master's programme in the Netherlands
Keuzegids Masters 2019Data Science and Artificial Intelligence is the #2 'Artificial Intelligence' bachelor's programme in the Netherlands
Keuzegids Universiteiten 2020Silver education awards for KE@Work: Best University-Employer Partnership and discipline award Engineering & IT
Reimagine Education Awards 2018DKE 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
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
Skills training
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
Student projects

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.
Diploma Supplement
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.