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Artificial Intelligence

Course Description

Investigating the true nature of intelligence is one of today's most fascinating research avenues. Advances in the study of cognitive processes and models, natural language and perception, human knowledge, representation, and reasoning attest to this.

Relatedly, one of the scientific community's key research objectives is the development of an intelligent robot, that is, a robot that can perceive and communicate using natural language, collect information using vision, sensors, and movement, plan ahead, act based on this information, assimilate new knowledge from experience and interaction with its environment and, in general, perform tasks considered typical for intelligent human beings.

The Master of Artificial Intelligence programme at KU Leuven explores and builds on these fascinating challenges. For many years, it has provided an internationally acclaimed advanced study programme in artificial intelligence. The multidisciplinary programme trains students from a variety of backgrounds - including engineering, sciences, economics, management, psychology, and linguistics - in all areas of knowledge-based technology, cognitive science, and their applications. The one-year programme, taught entirely in English, is the result of a collaboration between many internationally prominent research units from seven different faculties of the university. It allows you to focus on engineering and computer science, cognitive science, or speech and language technology.

Starting from academic year 2014-2015, the programme offers a new option: Big Data Analytics. This option is intended for graduates in Computer Science and trains them to become specialists is the analysis of Big Data. It instructs the students in Statistics, Machine Learning, Data Mining and Advanced programming techniques for dealing with Big Data. It offers a range of application domains in Information Retrieval, Bio-Informatics, Computer Vision and others.

This is an advanced Master's programme and can be followed on a full-time or part-time basis.


The programme aims at instructing and training students in state-of-the-art knowledge and techniques in artificial intelligence, with particular focus either on Engineering and Computer Science Technology or on Speech and Language Technology. It aims to bring students up to the level of knowledge, understanding, skills and experience that are needed to participate actively in research on an international level.

At the end of the programme, students should :
- be able to understand the concepts, the methods, and the applicability of the fundamentals of artificial intelligence, including knowledge representation formalisms, search and problem-solving techniques, the basics of neuroscience and neural computing, the basics of cognitive science or of the philosophical aspects of artificial intelligence;
- be familiar with an object-oriented or an AI programming language and be able to write programmes in it;
- be familiar with the basics of several advanced areas of AI and with the current research directions;
- be able to formulate research goals, determine trajectories that achieve these goals, collect and select relevant information and interprete collected information;
- have acquired enhanced knowledge in one of the three specific domains the programme is focusing on.

[[Career paths]]

With a Master's degree in artificial intelligence you will be welcomed by companies working in:
o Information technology
o Data mining and Big Data
o Speech and language technology
o Intelligent systems
o Diagnosis and quality control
o Fraud detection
o Biometric systems.

You will also be qualified to work in banking or provide support for the process industry, biomedicine and bioinformatics, robotics and traffic systems. Some graduates go on to begin a PhD programme.

Entry Requirements

For students with the following prior degrees, the admission requirement is reduced to proficiency in English: Master (in Engineering) of Computer Science, Master (in Engineering) of Informatics, Master (in Engineering) of Information and Communication Technology, Master of Arts (specialisation in Linguistics).Apart from these groups, specific selection criteria that are used for the selection of students are: at least a 4-year university (or equivalent) degree, experience with computing, proficiency in English, and good study results on the basis of transcripts. More information: www.kuleuven.be/admissions

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