Maastricht University, Department of Data Science and Knowledge Engineering

Introduction

The Knowledge Engineering bachelor’s and master’s programmes are designed around the Project-Centred Learning (PCL) teaching method. The PCL educational model is small-scale and student-oriented. You work in small groups on complex and challenging projects that require you to develop a variety of skills such as writing and presentation skills and working in a team. The skills you learn are an important preparation for your future career. You immediately apply what you have learned from the course material and lectures to real-life problems. Together with fellow students you research which information is required and how it is best presented. At the end of each project you deliver a functional product and present your findings to your fellow students, the teachers and/or the client. Projects offered at DKE are:


• developing climate models

• multi-purpose game engines

• intelligent search engines

• vision recognition systems

• interactive mathematics courses



Projects are often submitted by companies and institutes giving our students the opportunity to gain invaluable experience by applying their education to finding solutions to real-world problems.



Quality of our master’s programmes


The master’s programmes have been legally accredited in accordance with the Dutch Higher Education and Research Act. The national accreditation committee has assessed the master’s programmes to belong to the best in the Netherlands. Moreover, the accreditation committee rated the study guidance and student support as excellent, thus emphasizing the internationally-competitive quality of these services’




Choose your own curriculum 



In the first year of your master’s you will gain in-depth knowledge on the most relevant topics in Artificial Intelligence or Operations Research. In the second year of the master’s programme you will have the opportunity to focus the programme on your specific interest and career goals. In addition, during the first semester of the second year you can:

• take elective courses, also at other faculties of Maastricht University

• take electives of the other master’s programme 


• participate in the research projects of the academic staff


• take part in a company or research internship


• follow an exchange programme at a university abroad

In the second semester, you will finish your master’s programme by writing a master’s thesis. For this, you will choose a research topic which you will work on under the supervision of one of the academic staff members. The research can be performed internally or externally at a company or another university. Your thesis must also be publicly defended. 



*Note that all individual programme choices are supervised by our study advisor and academic staff and are always evaluated on quality by the Board of Examiners.




Research at the Department of Data Science and Knowledge Engineering



DKE is actively involved in different areas of research. The academic teaching staff of DKE consists of experienced lecturers and researchers that are well known in the international scientific community.



Within the department the research is organized in three groups: "BioMathematics and BioInformatics" (BMI), "Robots, Agents and Interaction" (RAI) and "Networks and Strategic Optimization" (NSO). Department members are involved in multiple research groups and therefore enhance interaction between the groups.



The BioMathematics and BioInformatics research covers principal areas of Systems Biology and Bioinformatics, such as sensing, analyzing, modeling and predicting biological and medical phenomena. The Robots, Agents, and Interaction Group (RAI) focuses on the design, analysis and application of systems composed of computational agents – that is, software entities or robots – which pursue goals autonomously and interactively in complex (e.g., uncertain, open, dynamic, hardly predictable) environments. For the research group on Networks and Strategic Optimization the emphasis is on Knowledge Engineering topics related to the study of competition. The group has a lot of expertise in researching competition in board games and in game theoretical modeling.




International character of our master’s programmes



The Department of Data Science and Knowledge Engineering belongs to the Faculty of Humanities and Sciences. This faculty has the highest ratio of international students at the university. DKE collaborates in its study programmes with well established universities such as Aarhus University in Denmark, Université de Montreal in Canada, Reykjavik University in Iceland, , UESTC in China and Universiteit Hasselt in Belgium. Students can participate in an international exchange programme at these universities. The faculty members of DKE cooperate in international research programmes, allowing for international internships for our students.


This school offers programs in:
  • English

View MSc »

Programs

This school also offers:

MSc

Master in Artificial Intelligence

Campus Full time 2 years September 2017 Netherlands Maastricht

The Master of Artificial Intelligence (AI) is a two-year advanced programme organized by the Department of Knowledge Engineering. The focus of this programme is on the understanding [+]

Master’s programme in Artificial Intelligence

 

The Master of Artificial Intelligence (AI) is a two-year advanced programme organized by the Department of Knowledge Engineering. The focus of this programme is on the understanding, design and creation of intelligent systems in both software (e.g., computer games) and hardware (e.g., robotics).  The term “Artificial Intelligence” dates back to 1956 when John McCarthy defined it as “the science and engineering of making intelligent machines”. Even though nowadays we are still far from building machines that can pass the famous Turing test (A. Turing, Mind, 59 (236), 1950 - a test to determine whether a machine shows human intelligence), Artificial Intelligence has become a very active domain in both academia and industry. It has achieved to build computer programmes and robots that learn from experience, recognize patterns in vast amounts of data, and reason strategically in complex decision making situations. Artificial Intelligence is therefore an interdisciplinary field where domains such as Computer Science, Mathematics, Psychology, Biology, Philosophy and Economics meet.  ... [-]


Master in Operations Research

Campus Full time 2 years September 2017 Netherlands Maastricht

In today’s world there is an abundance of information, data and knowledge that can be explored and brought together, to gain a deeper understanding of underlying mechanisms in order to be able to make better decisions. Operations Research (OR) is the young [+]

Master’s programme in Operations Research

 

In today’s world there is an abundance of information, data and knowledge that can be explored and brought together, to gain a deeper understanding of underlying mechanisms in order to be able to make better decisions. Operations Research (OR) is the young and modern discipline that aims to achieve just that, with the help of state-of-the-art scientific techniques and software. The master’s programme in Operations Research examines the use of applied mathematics to analyse processes, problems and operations to determine their purpose and effectiveness in order to gain the maximum level of efficiency.

 ... [-]


Contact

Maastricht University Department of Knowledge Engineering

Address Bouillonstraat 8-10
6211 LH Maastricht, Netherlands
Website http://www.maastrichtuniversity.nl/web/Schools/DKE.htm
Phone +31 43 388 3455