The MSc-Master of Science® in Intelligent Systems and Cloud Engineering trains experts to develop and deploy innovative solutions in the fields of intelligent systems, cloud computing and emerging digital technologies.
Designed for young graduates or professionals, it addresses the growing demands of the global market by combining technical, operational, and human skills. This accelerated full time one-year program consolidates one of the core expertise of the school.
The curriculum covers key topics such as system architecture, databases, Java development, AI, Data Science, software engineering, and cloud computing. It also includes cross-disciplinary skills such as project management, human, economic, and social sciences, and French as a Foreign Language (FLE) courses to ease the integration of international students. Some courses are shared with the engineering cycle, facilitating interaction with other students at the school.
To ground knowledge in practice, a 4-to-6-month professional immersion in a company allows students to apply their skills in a real-world environment. The study thesis further consolidates their expertise and deepens their focus on a specific subject.
Designed for young graduates and professionals with limited experience, the program provides rapid skill development through a balanced pedagogy combining theory, practical work, and field experience. Delivered in English, it targets a diverse audience seeking to specialize and advance in a competitive technological sector.
This program, focused on cutting-edge technologies, prepares students to tackle the challenges of intelligent systems and cloud engineering while enhancing their profile for both national and international markets.
Admission
4-year diploma (240 ECTS) in computer science related field
By exemption with 3-year diploma and work experience
Campus
Toulon
Program Length
7 months on-site courses
4 to 6 months intership
Targeted degree
MSc-Master of Science
The plus of the training
The MSc-Master of Science® is accredited by the Conférence des Grandes Écoles.
MSc-Master of Science® program
The training is divided into two academic periods: an initial 7-month of on-site courses and a second period of between 4 and 6 months, including an assignment in a company and a study thesis.
Courses are grouped into modules:
| ECTS | |
|---|---|
| Human social and economical sciences | 5 |
| Foundations of Computing Systems | 6 |
| Software development | 7 |
| Artificial intelligence and Data Science | 6 |
| Cloud and distributed systems | 5 |
| Quality, security and operations | 6 |
| Technical project | 5 |
| Company assignment | 10 |
| Study thesis | 10 |
Full english
100% of courses
taught in English
1 year program
Accelerated training
The European Credit Transfer and Accumulation System ( ECTS ) is a points system developed by the European Union as part of the Bologna Process and theEuropean Higher Education Area(EHEA). Credits are divided into teaching units (UE).
It aims to make it easier to read and compare study programmes within a country and between different European countries. The ECTS system applies mainly to university education. It is applied in France and has replaced the system of credits (UV) previously used.
What's next?
Trades prepared
- Cloud Computing Expert: Design, deploy, and manage cloud infrastructures (AWS, Azure, Google Cloud).
- Senior Software Developer: Develop robust applications using advanced programming languages (Java, Python).
- System Architect: Design software and hardware architectures tailored to business needs.
- Artificial Intelligence Expert: Create and optimize solutions using generative AI and genetic algorithms.
- Web and API Developer: Design interactive web services and high-performance API interfaces.
- DevOps Expert: Automate development and operations processes for fast and secure delivery.
- Software Quality Manager: Implement tests and validate software to ensure reliability and performance.
- IT Project Manager: Manage technology projects, from conception to delivery.
- IT Consultant: Advise companies on the implementation of cloud and AI solutions.
- Digital Product Manager (Product Manager): Design and lead technological product development.
Admission
This program is accessible after a Master’s Year 1 (M1) or a four-year Bachelor’s degree in a field related to the program. By exemption, candidates with a three-year Bachelor’s degree (Licence, Bachelor, or RNCP level 6 title) and at least five years of professional experience may also be eligible.
