Data Science and Knowledge Engineering

Data Science and Knowledge Engineering

Bachelor of Data Science and Knowledge Engineering (BSc)

Knowledge Engineering (KE) is the engineering discipline that is involved with the integration of knowledge into computer systems in order to solve complex problems which normally require a high level of human expertise. The study is closely related to subjects like mathematical logic, artificial intelligence, data mining, decision support systems and cognitive sciences. The primary computer languages taught are Java, Matlab. Languages like Prolog and C(++) are optional. In contrast to the standard PBL system at Maastricht University, the Department of Data Science and Knowledge Engineering (DKE) has devised an alternative learning approach, called Project Centered Learning. Project Centered Learning is based on the system of working with a team of fellow students for one semester on different phases of a single project. Some examples of projects which have been tackled include simulation and 3D visualization of the solar system and simulation of space travel therein, traffic simulation and natural language processing.

One academic year will consist of 6 blocks. Which are divided as followed:

DKE schedule

DKE year schedule

Master Artificial Intelligence (MSc)

Artificial Intelligence is the discipline concerned with the development and application of intelligent systems possessing abilities such as learning, reasoning and collaborating. Key research areas include machine learning, information retrieval, intelligent search techniques and multi-agent systems.

Master Data Science for Decision Making (MSc)

Data Science for Decision Making is the discipline concerned with optimization and decision making, using applied mathematical tools and models. Key research areas include signal processing, mathematical modelling and simulation, bioinformatics and evolutionary game theory.