Of Science (MSc) in Computer Science (Registrations are closed)

Programme content

THE DESIGNER PAR EXCELLENCE

The university-trained computer scientist is first and foremost a designer. Their training enables them to find the optimal solution to IT problems encountered across many different domains.

Often, the result of their mental efforts will be the deployment of complex equipment which combines information processing hardware and programmes. The system designed will thus provide a group of users with the means to optimally accomplish their professional activities in a variety of economic sectors including finance, e-commerce, medicine, transport, telecommunications and bioinformatics.

To contribute to design activities in such varied fields, university-trained computer scientists must have acquired rigorous reasoning abilities (in order to design these complex systems accurately), the capacity to understand the problems associated with a specific activity and the ability to explain the proposed solutions clearly and unambiguously.

The Bachelor's and the Master's in Computer Sciences were designed to allow you to acquire this training.

A TRAINING IN ENGLISH

All Master's classes are taught in English, given the importance of English in the IT domain. This immersion provides students with an opportunity for intensive practice and consequently gives them optimal preparation for these international careers.

The Master's thesis must be written in English. However, students are free to communicate in French during classes and major tests and exams.

It should be noted that the Master's in Computer Science is offered within the School of Engineering, which gives students hands-on experience of the more technical aspects of computer science such as robotics, networks, image processing and microelectronics, etc.

Learning outcomes

Profile

At the end of their one year Master's course, a graduate with a Master's in computer science (60 credits) from ULiège will be able to leverage their knowledge, their know-how and their IT skills to analyse, design, develop, integrate and evaluate complex information systems. Often, the result of their mental efforts will be the implementation of complex products or services which combine information processing hardware and programmes. The system designed will thus provide a group of users with the means to optimally accomplish their professional activities in a variety of sectors including finance, e-commerce, medicine, transport, networks and telecommunications and bioinformatics.

Learning outcomes

The Master in Computer Science (60 credits) has acquired specialized and integrated knowledge, as well as broad skills in various fields of computer science, complementing those acquired during his bachelor of computer science, namely in algorithmic science, programming and computer systems (operating systems, data bases, networks).

He has strengthened his knowledge in computer security and in various theoretical bases of computer science (state machines, automata, grammars, theory of computation, logic, formal reasoning, compiling principles).

He is able to apply and leverage his consolidated knowledge and skills to carry out a large-scale software or innovation project while controlling its complexity and taking into account the objectives and specific constraints.

He has often become aware of the needs and constraints of the industrial reality, either by means of his master thesis, or thanks to courses that establish links between the concepts learned and their industrial applications.

He is able to communicate his conclusions, original propositions and the underlying knowledge and principles, in a clear, structured and reasoned way, adapting to the audience, both orally and in writing, particularly in English.

He has developed a significant degree of autonomy, allowing him to acquire new knowledge, continue his training and develop new skills to be able to evolve in other contexts. He is well prepared to adapt to processes, techniques, languages, tools... that are yet to be invented.

He has the capability to think critically about the societal impact of his projects and of computer science in general.

He shows rigour, autonomy, creativity, and ethical sense.

The grounding of his learning outcomes is thus rather similar to the skills of a Two-year Master in Computer Science. On the other hand, given the lack of specialization and integrated project, as well as the limited selection of optional subjects, this graduate has less advanced knowledge, know-how and skills, and was prevented from carrying out an internship.