Do you already have an academic bachelor in Computer Science and would you like to work towards an even deeper scientific understanding and knowledge? Then our master in Computer Science is the programme you’re looking for! The two-year programme has a broad scope, but also offers a wide variety of highly specialised elective courses. As such, it actively prepares students for positions in scientific research and in state-of-the-art development projects.

Strong embedding in ongoing research

Our courses and specialisations are strongly embedded in the ongoing activities of research groups that are each specialised in a particular domain of computer science. The groups publish in international journals and at international conferences, and participate in international research networks and projects. Master students carry out at least half of their studies within one of these groups. By being part of a professional research team, students have the best opportunities to learn and develop scientific skills, and to participate in world-class research. The groups also have experience in developing research trajectories with societal and economic impact. They have implemented an active policy in technology and knowledge transfer, patenting, spin-off creation, industrial collaboration, and innovation.

This master's programme is jointly organised by two departments, the Department of Computer Science at the Faculty of Sciences and the Department of Electronics at the Department of Engineering. Together, they employ more than 200 researchers, who cover a wide range of research topics.

A truly international context

About half of the students in our master’s programme come from Belgium, the other half come from all over the world. Courses are taught and guided by a similarly diverse mix of professors and assistants. The membership of the research groups is truly international, and you can communicate with the university administration in English. You can also go abroad during your studies to one of our prestigious partner universities.

Four specialisations

Our master programme has been designed for students with a solid, fundamental academic background in computer science (such as a bachelor in computer science, or equivalent). It will provide you with a deeper knowledge and understanding of computer science in general, as well as of the state of the art in one of four specialisations:

• The Artificial Intelligence specialisation is all about building intelligent software artefacts. We emphasise the theories of complex dynamic systems and self-organisation, starting from the theory of complex dynamic systems as developed in related fields, such as mathematics, physics and biology. In addition to data mining and big data, students will be exposed to current research in the areas of adaptive systems, multi-agent systems, the origins of language and bioinformatics.
• The Data Management and Analytics specialisation (as from 2020-2021) covers scalable and distributed data management systems, information retrieval and data mining algorithms, as well as information visualisation and human-data interaction techniques. You will study algorithms, techniques, architectures and methods for the management, processing and interaction with both structured and unstructured data. The acquired theoretical knowledge will be applied in the design of applications that extract insights from streams as data such as for instance produced by Internet of Things devices. 
• The Multimedia specialisation explores techniques for signal processing and communication of multimedia content. The programme is designed to build thorough technological and scientific knowledge of various multimedia domains, such as digital television, telephony and videophony, computer animation, computer games, and the Internet. Students will gain experience with complex ICT architectures for the processing, distribution, and consumption of multimedia content.
• The Software Languages and Software Engineering specialisation covers the programming languages, development tools, and abstraction & composition mechanisms that are needed for building and maintaining large-scale applications. We offer courses ranging from theoretical foundations (e.g., type theory in Haskell, formal proofs in Agda), over programming language paradigms (e.g, multicore and distributed programming in Clojure and Scala) and implementation techniques (e.g., compilers and virtual machines), to advanced software engineering topics (e.g., quality assurance and security, meta programming).