The DataScale program trains experts capable of mastering the entire data value chain: data engineering, architectures and advanced AI analytics. It leads to diverse careers (data scientist, data engineer, AI analyst, etc.) across key sectors, and also provides access to doctoral studies in public or private laboratories.
The program is offered as an initial training course. Classes take place from mid-September to the end of March, followed by a 5- to 6-month internship starting in April.
The DataScale program aims to provide students with dual expertise in:
- Data engineering: design, administration, security, and optimization of multi-scale architectures (data centers, connected devices).
- Data analysis: integration and quality management of heterogeneous data, data mining, machine learning, and AI.
The program opens the way to a wide range of career opportunities (data scientist, data engineer, machine learning engineer, or AI analyst). Graduates may pursue doctoral studies in research laboratories or join service companies, startups, large corporations, or research structures.
Information
Skills
- Deploy, operate, and manage large-scale data infrastructures.
- Design and develop processing pipelines that transform raw data into knowledge.
- Extract, analyze, and leverage information and knowledge stored in massive data management infrastructures (big data).
- Master and deploy machine learning and AI techniques and algorithms.
- Develop and deploy service-oriented data management applications.
- Produce and present a state of the art, and carry out a scientific research approach.
Objectives
The DataScale program aims to provide students with dual expertise in:
- Data engineering: design, administration, security, and optimization of multi-scale architectures (data centers, connected devices).
- Data analysis: integration and quality management of heterogeneous data, data mining, machine learning, and AI.
The program opens the way to a wide range of career opportunities (data scientist, data engineer, machine learning engineer, or AI analyst). Graduates may pursue doctoral studies in research laboratories or join service companies, startups, large corporations, or research structures.
- Data engineer
- IA analyst
- Data analyst
- Data scientist
- Chief Data Officer
- Database Administrator (DBA)
- Data Security Administrator (DSA)
- Information System Architect
- Architect / Designer / developer of Big Data, Web and IoT applications
Career Opportunities
Career prospects
Après un Master ou Master + Doctorat : chercheur ou enseignant-chercheur
Après Master + Doctorat : chercheur ou enseignant-chercheur
Après un Master ou Master + Doctorat : ingénieur (recherche et développement, contrôle, production…)
Expert science des données
Expert en gestion de données
Consultant en éthique de l’intelligence artificielle et de la data
Après un Master : Data scientist
Après un Master : Spécialiste en intelligence artificielle (IA)
Ingenieur R&D
Responsable de projets R&D
Chef de projet
Consultant
Délégué à la protection des données
Responsable de systèmes d’information
Further Study Opportunities
Doctorat
École d’ingénieur
Mémoire de recherche
Thèse de doctorat
Formations complémentaires en management de l’innovation
Les étudiants titulaires d’un M2 ont la possibilité de poursuivre dans la recherche en doctorat
Fees and scholarships
The amounts may vary depending on the programme and your personal circumstances.
Capacity
Available Places
Target Audience and Entry Requirements
The DataScale program is offered exclusively as an initial training course. Prerequisites correspond to a Master’s level in computer science, with a solid background in database management. The typical profiles of students joining DataScale program are: students who have obtained a Master's degree in IT in France, students from partner engineering schools in their last year enrolled in a dual program, students holding an engineering or computer science Master's degree obtained outside France.
Application Period(s)
From 16/02/2026 to 10/07/2026
Supporting documents
Compulsory supporting documents
Copy diplomas.
Motivation letter.
All transcripts of the years / semesters validated since the high school diploma at the date of application.
Certificate of French (compulsory for non-French speakers).
Curriculum Vitae.
Additional supporting documents
Supporting documents :
- Residence permit stating the country of residence of the first country
- Or receipt of request stating the country of first asylum
- Or document from the UNHCR granting refugee status
- Or receipt of refugee status request delivered in France
- Or residence permit stating the refugee status delivered in France
- Or document stating subsidiary protection in France or abroad
- Or document stating temporary protection in France or abroad.