Masters in computer science and MIAGE

The computer science and MIAGE masters are courses offered by the computer science department FIL of the Faculty of Science and Technology at the University of Lille.

The master’s degree in Computer Science

The master’s degree in Computer Science provides students with high-level skills, both theoretical and practical, in the information science and communications technology sector.

Following a core curriculum in the first year, five second-year courses are offered. They are based on the laboratory’s research areas:

• e-Services
• IAGL - Application Infrastructures and Software Engineering
• IVI - Image Vision Interaction
• MOCAD - Complex Models, Algorithms and Data
• TIIR - ICT, Infrastructures, Integrity and Distribution

A sixth 2-year course in English completes the offer on the theme of machine learning:

• Data Science

The MIAGE master’s degree

The master’s degree in MIAGE (Computer Methods Applied to Business Management) and its IPI-NT course in the second year (computer project engineering - new technologies) focuses on information systems engineering.

The MIAGE course provides theoretical foundations and technological skills while ensuring permanent contact with the business world.

Introduction to research

Each of the Computer Science Master’s courses combines aspects of professional training and research training. From M1 onwards, the course includes an introduction to research and innovation. This takes the form of seminars on careers and the world of research, meetings with laboratory researchers, etc. In M1, students have the opportunity to carry out their project as part of a research team. This is also the case with the M2 project, which can then be extended by an internship in a laboratory culminating in the writing of a dissertation.

see the Research and Innovation teaching portal

The SMaRT Master

The SMaRT (Systems, Autonomous Machines and Field Networks) research and professional programme is part of the ASE Master’s programme, which aims to train high-level executives with cross-disciplinary skills ranging from real-time control of a dynamic system to supervision of an industrial production line.

The theoretical training offered is essentially based on the skills and research themes of the CRIStAL Laboratory.

Skills developed

Robotics and Mobile Robotics, Control, Supervision, Decision Support, Industrial Computing, Field Networks.

Contact: master-ase-smart

Master’s degrees within the MADIS Graduate School

https://edmadis.univ-lille.fr/pendant-le-doctorat/cours-de-master-pour-doctorants