Engineers who take this major are data and big data specialists, from collection, modelling and storage to analysis and interpretation. They work on artificial intelligence and data valorisation projects that will be central to all economic and industrial sectors in the years to come.
This course is offered on the Paris campus.
This major is taught by research professors who are equally renowned in the fields of big data, AI and data analysis. They are involved in research chairs and partner innovation projects with major companies in the sector. Students benefit from excellent teaching that is in line with both the current job market and its future evolutions.
Data Scientist, Data Engineer, Data Officer, Big Data Project Manager, Big Data Developer, Analytics and Visualisation Consultant, AI Engineer
DATA PROCESSING
Machine Learning
Advanced Data Structures & Algorithms
DIA Bootstrap
ADVANCE PROGRAMMING METHODS
Cloud & virtualization techniques
Design Pattern & Software Development Process
DATA TOOLKITS
Advanced Database Management
Python for Data Analysis
DATA ON THE WEB
Advanced topics in NoSql databases
Web datamining & semantics
ADVANCED AI
Neural Networks and Deep Learning
EXTENDED WEB APPLICATIONS
Chatbot and recommendation systems
Web Application Architectures
DATA FOR ENTREPRISE
Dataviz
Graph and mining
Big Data Ecosystem
DATA TOOLKITS
Big data processing in Spark
Advanced Machine Learning for NLP and Text Processing
IT ET TRAITEMENT DE LA DONNÉE
IT management & ITIL
Multimédia et enjeux technologiques
Structures de données pour le cloud
AI-Based Autonomous Parking-Slot Detection: New Insights from an ESILV-Led Systematic Review 25 November 2025 A new publication in IEEE Access (Q1), led by Ahmed Azough, Head of the Computer Science & Data Science MSc at ESILV, offers a structured review of artificial intelligence methods for detecting parking slots from in-vehicle cameras. This work, to which Chaimae Aajal contributed, analyses how camera-based approaches have evolved into a scalable alternative to [...]
Preserve.Archi: Digitising Small Architectural Heritage with Drone and AI Technologies 29 July 2025 Preserve.Archi is a non-profit initiative introduced by Marc Teyssier, Deputy Director of the Institute for Future Technologies at De Vinci Higher Education. It aims to build a comprehensive digital archive of small-scale architectural heritage, starting with a pilot project in the city of Nantes. A European initiative to make overlooked architectural heritage accessible through 3D [...]
ECCWS & German Research Center for AI: Myriam, class of 2025, joins European debate on evolving cybersecurity practices 15 July 2025 Myriam, class of 2025, presented her first academic paper at the European Conference on Cyber Warfare and Security (ECCWS). Her research questions the current vulnerability assessment models in cybersecurity. This international experience marks an essential step in her professional and academic journey. Read the paper From ESILV to Cybersecurity Research: A First Step Forward As [...]
Leading for Impact: How Technical Leaders Align AI with Business Strategy 27 February 2025 Not all AI projects make it past the hype. Some promise game-changing results but never quite deliver, while others get stuck in endless testing phases. The difference? Strong technical leadership that turns AI from a cool experiment into a real business asset. For AI to truly make an impact, it needs more than just powerful [...]
IRSYSC 2024: A Keynote by Jinan Charafeddine, Professor Researcher at ESILV 17 December 2024 In November 2024, Jinan Charafeddine, Professor Researcher at ESILV, participated as a Keynote Speaker at the 8th International Researchers, Statisticians, and Young Statisticians Congress (IRSYSC 2024). This international event, organized by Adana Alparslan Türkeş Science and Technology University (ATU) in Adana, Turkey, brought together researchers, academics, and students to discuss the latest statistics and applied [...]
New Scientific Contribution to Virtual Reality in Medical Education from ESILV Researchers 12 November 2024 Ahmed Azough, a professor-researcher at ESILV, co-directed a significant contribution to medical education research. Entitled “Virtual Reality in Medical Education: Effectiveness of the Immersive Virtual Anatomy Laboratory (IVAL) Compared to Traditional Learning Approaches,” this study was published in the Elsevier journal “Displays”. It aims to examine the impact of immersive virtual reality tools in enhancing [...]