The Master of Science in Engineering CPS2 at Mines Saint-Étienne is looking for motivated students from high-level scientific and technical backgrounds, and passionate about digital innovation. This international programme requires a strong foundation in computer science and a strong commitment to the challenges of artificial intelligence and connected systems.
Who is the Master of Science in Engineering CPS2 for?
The Master of Science in Engineering CPS2 is an international programme designed to train the future architects of tomorrow’s intelligent systems. It is ideal for:
- Holders of a Licence (L3, 180 ECTS) or an M1 (240 ECTS) level in Computer Science (Computer Science).
- Candidates holding an equivalent degree in a scientific or technological field strongly focused on programming, electronics, or data engineering.
- International students wishing to join a center of excellence in research and technology.
Expected Skills and Prerequisites
Success in this Master of Science in Engineering requires rigorous academic preparation and strong linguistic proficiency.
Academic Prerequisites
- Computer Science
Excellent command of fundamental concepts in programming (object-oriented), algorithms, data structures, and networks. - Mathematics
Solid foundations in statistics and mathematics applied to engineering. - Technologies
Familiarity with distributed systems or web technologies is an asset.
Language Requirement
- English
Proficiency in English is mandatory (minimum B2 level recommended). All courses, projects, and research work are conducted in this language.
International Applicants
The Master of Science in Engineering CPS2 welcomes students each year from many countries in Europe, Asia, Africa, and America.
International applications are welcome.
The committee evaluates:
- the equivalence of the degree obtained,
- academic skills,
- English proficiency level,
- motivation and project coherence.
Desired Qualities and Motivation
Mines Saint-Étienne seeks profiles that, beyond technical skills, demonstrate a commitment to responsible innovation:
- Scientific Curiosity
Strong interest in exploring new technologies such as AI, IoT, and the Semantic Web. - Analytical and Ethical Mindset
Willingness to understand and model the complex interaction between physical, digital, and social dimensions, integrating the challenges of trust and robustness (in accordance with the Code of Responsible Communication). - Collaboration
Ability to work effectively within multidisciplinary and multicultural teams. - Rigor
Strong motivation for an intensive curriculum focused on academic excellence and research (R&D).
Contacts
Academic Director of the Master of Science in Engineering
Administrative contact
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