Master's degree
Specialisation Computer Science
French
Information
Présentation
Career Opportunities
Career prospects
After a Master’s degree: Artificial intelligence (AI) specialist
After a Master's degree: Data scientist
Scientific communication, technology watch or technology transfer Officer
Project Manager
Research and Innovation Manager
Head of development
Project manager
Consultant
Data scientist
Design engineer
Further Study Opportunities
Head of project/mission
R&D researcher or data modelling and analysis expert in leading-edge companies or laboratories.
Consultant
Data Scientist, Data Analyst, Ingénieur·e en Machine Learning dans des secteurs innovants (tech, finance, santé, énergie, etc.) ;
PhD
fields of statistical learning, artificial intelligence and advanced data analysis
Engineering, research and development
After a Master’s degree: Artificial intelligence (AI) specialist
After a Master's degree: Data scientist
Scientific communication, technology watch or technology transfer Officer
Project Manager
Research and Innovation Manager
Head of development
Project manager
Consultant
Data scientist
Design engineer
Head of project/mission
R&D researcher or data modelling and analysis expert in leading-edge companies or laboratories.
Consultant
Data Scientist, Data Analyst, Ingénieur·e en Machine Learning dans des secteurs innovants (tech, finance, santé, énergie, etc.) ;
PhD
fields of statistical learning, artificial intelligence and advanced data analysis
Engineering, research and development
Admission
Admission Route
Computer Science
Mathematics
Capacity
Available Places
45
Application Period(s)
Inception Platform
From 15/01/2026 to 16/03/2026
MonMaster Platform
From February 17th to March 16th, 2026
To find out which platform you should apply through, please see the Masters' applications and enrolment page.
Supporting documents
Compulsory supporting documents
Motivation letter.
All transcripts of the years / semesters validated since the high school diploma at the date of application.
Curriculum Vitae.
Additional supporting documents
VAP file (obligatory for all persons requesting a valuation of the assets to enter the diploma).
Programme
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Programmation Python | 3 | Semestre 1 | 10.5 | 10.5 | |||||||
| Technologies de communication sans fil | 3 | Semestre 1 | 10.5 | 10.5 | |||||||
| Sécurité IP | 3 | Semestre 1 | 10.5 | 10.5 | |||||||
| Data warehouse I | 3 | Semestre 1 | 10.5 | 10.5 | |||||||
| Probabilités et statistiques | 3 | Semestre 1 | 10.5 | 10.5 | |||||||
| Algorithmique avancée | 3 | Semestre 1 | 10.5 | 10.5 | |||||||
| Langages dynamiques | 3 | Semestre 1 | 10.5 | 10.5 | |||||||
| Traitement distribué des données | 3 | Semestre 1 | 10.5 | 10.5 | |||||||
| Introduction à l'apprentissage | 3 | Semestre 1 | 10.5 | 10.5 | |||||||
| Visualisation | 3 | Semestre 1 | 10.5 | 10.5 | |||||||
| Outils de gestion de projet | 3 | Semestre 1 | 10.5 | 10.5 | |||||||
| Anglais | 0 | Semestre 2 | 21 | ||||||||
| UE libre | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bloc Options - IoT | |||||||||||
| Modèles mathématiques | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Technologies mobiles et services connectés | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Virtualisation et cloud | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Ingénierie des protocoles | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Projet IoT | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Bloc Options - Sécurité | |||||||||||
| Programmation sûre | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Rust | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Approche offensive : mise en œuvre d’attaques et contre-mesures | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Contrôles d'accès | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Projet Sécurité | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Bloc Options - Données | |||||||||||
| Data warehouse II | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Modélisation | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Data lake | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Data processing | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Projet Données | 3 | Semestre 2 | 10.5 | 10.5 | |||||||
| Subjects | ECTS | Semester | Lecture | directed study | practical class | Lecture/directed study | Lecture/practical class | directed study/practical class | distance-learning course | Project | Supervised studies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Travail en entreprise / Stage | 9 | Semestre 2 | |||||||||
Training campus
Saclay Moulon
Saclay / Gif-sur-Yvette / Orsay
Bus 4606 / 4609 / 4611 / 5154
RER B Le guichet
Student restaurant (CROUS)
Library
Sports facilities
Student residence