Master's in

Computer Science

Specialist Focus on Artificial Intelligence and Data Analytics
  • Schedule
    Daytime schedule
  • ECTS Credits
  • Language


This 120-credit Master’s degree offers specialist training in Artificial Intelligence and Data Analytics. This Master’s programme includes a project, a placement in a company and a dissertation, as well as advanced courses in computer science and in social studies. Among the advanced courses, students can also choose to take courses in the field of artificial intelligence and data science. 

Access conditions

Do you already have a higher education qualification obtained in the French Community? Use our search tool to check whether your qualification grants you admission onto this Master’s degree and, if so, under what conditions. 

Target audience

Students with a Bachelor’s degree in Computer Science or who are eligible to transfer to the Master’s in Computer Science. 

Extra information

Some subjects are taught in English. 

Program and structure

The Master’s degree in Computer Science (Artificial Intelligence and Data Analytics) consists of advanced courses in computer science, and more specifically in artificial intelligence and data science. It prepares students for their future employment, especially in professions requiring advanced skills in artificial intelligence and data science. 

The 1st 60-credit block consists of several advanced courses covering key topics in computer science, as well as a project in the field of artificial intelligence and data science. This personal project is preparation for the Master’s dissertation. 

The 2nd block includes electives, as well as a dissertation to be presented and defended before a board of examiners and a 10-week placement in a company, both of which focus on the theme of artificial intelligence and data science. 

Teaching profile

The programme description defines the expected learning outcomes at the end of the cycle (Bachelor's, Master's, etc.). The programme description defines the expected learning outcomes, i.e. what the student should know, understand and be able to achieve at the end of a learning activity, a teaching unit or a study cycle (Bachelor's, Master's, etc.). Learning outcomes are defined in terms of knowledge, expertise and soft skills. 

At the end of the course, students will be able to: 

  • Apply scientific methodology 
  • Master communication techniques 
  • Develop and implement a high degree of autonomy 
  • Apply their highly specialised and integrated knowledge and broad skills in the various disciplines of computer science, complementing those acquired at Bachelor's level 
  • Manage major IT development projects 
  • Use their acquired professional skills according to the objectives of the degree programme 
  • Manage research, development and innovation projects 

For more information, consult the programme description for this study cycle below (in French). 



Artificial intelligence and data science profiles are in high demand by companies in all sectors, as well as in universities and other institutions. Some examples of professions are: data architect, data manager, data analyst, business analyst, data scientist, machine learning engineer, artificial intelligence expert. The sectors of activity include various fields such as networks and telecommunications, e-commerce, multimedia, banking and insurance, administration, teaching, research, among many others. 

About this training

Science and Technology
Biomedical and Pharmaceutical Sciences

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