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. 

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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 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., security, quality assurance, meta programming).

The programme prepares you for an active role in computer science research and development, in academia as well as in the ICT industry. In addition to a meticulously designed core programme complemented by state-of-the-art specialisations, the curriculum offers a wide range of electives that allow you to tailor your education to your interests. Our courses promote an active style of learning. As well as regular lectures, we use a broad range of instruction techniques, such as group and individual projects, seminars, workshops, talks by invited experts in the field, and research trainings. Find out more about the programme of each specialisation, and their common core, below:

Example time table

Take a look at an example of your future timetable!

Learning outcomes

Learning outcomes describe the intended knowledge and understanding, skills and attitudes that you must master after completing your studies.

Do you want to know more about the specific learning outcomes of this programme? Click here for more information.

After Graduation: Industry or Academia?

You will be equipped with exactly those skills that are paramount to a successful career in high-end industry or academia: a sharp, inquisitive mind dedicated to pushing the boundaries of knowledge and human accomplishment.

You can even become part of one of the highly professional research teams at VUB with a societal and economic impact. Here you will be able to implement an active policy in technology and knowledge transfer, patenting, spin-off creation, industrial networking and innovation.

Admission criteria

Application prerequisite for the programme Master of Computer Science is an academic bachelor’s degree in Computer Science or equivalent. Equivalency and admission to the programme will be based on a review of the student’s academic record and will be evaluated case by case. Entering in the second semester (February) is possible under certain conditions.

Application

Admission is based upon acceptance of the application (proof of meeting the academic and language requirements, satisfactory background...). All necessary information regarding the admission requirements, deadlines and application forms can be found on the application page. 

How to book your seat?

Follow these steps:

1. Click on the button ‘book your seat’ and a virtual calendar will open
2. Select the programme of your interest at the top of the page
3. Scroll down to the calendar, select one of the available dates (appear in black) and click on the available time slot
4. Fill out your personal details under the calendar. Do not forget to tick the GDPR box!
5. Click on ‘book’ to complete your registration
6. You will immediately receive a confirmation email and an invitation 24h before the start of the info session. In the invitation, you can find the link to the online info session.

The online information session will be organized via a Microsoft Teams meeting. We advise you to open the link with the Google Browser (Chrome). You can also participate via the browser version of Microsoft Teams.