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
What Skills Do Engineers Need in 2026? Technical, Digital and Human Skills 3 September 2026 Engineers work across sectors ranging from artificial intelligence and cybersecurity to energy, healthcare, finance, manufacturing and aerospace. Alongside scientific expertise, employers increasingly value analytical thinking, digital literacy, communication, adaptability and the ability to manage complex projects. Engineering therefore combines technical knowledge with a broader understanding of organisations, technologies and the environmental and societal conditions surrounding [...]
Institute for Future Technologies: Paul-Peter Arslan’s PhD Research in AI and Neurorehabilitation 1 September 2026 Paul-Peter Arslan has completed a PhD combining data science, neuroscience and rehabilitation, supervised by Xia Xia, professor-researcher at ESILV, and co-supervised by Pavel Lindberg at the Institut de Psychiatrie et Neuroscience de Paris (IPNP). His research explores digital and AI-based methods for assessing and supporting the rehabilitation of manual dexterity after stroke. From artificial intelligence [...]
Victoria, Class of 2024: From ESILV to Société Générale’s Trading Floor in New York 7 July 2026 ESILV graduate Victoria Gauthier now works on Société Générale’s USD Rates Sales desk in New York. During Coffee Break #17, hosted by Alexis Planque, International Campus Manager at Société Générale, she reflected on the engineering education, international experience and technical skills that shaped her career in global financial markets. Engineering graduates are increasingly contributing to [...]
ESILV Researchers Publish New AI Feature Selection Method for Industrial Process Monitoring 2 June 2026 A research team involving ESILV and the De Vinci Research Center has published a new study in Engineering Applications of Artificial Intelligence. The article introduces F-XMF, a feature selection framework designed to improve prediction accuracy and interpretability in complex industrial environments. From industrial data complexity to more reliable predictions Read the paper Artificial intelligence is [...]
DVRC Thematic School MDD 2026 explores Data Management for Language Models in Corsica 19 May 2026 The Distributed Data Masses (MDD) 2026 thematic school, dedicated to “Data Management for Language Models”, brought together researchers, PhD students, engineers and AI regulation stakeholders in Cargèse, Corsica. Co-organised with the European ARMADA network, the event explored scientific, technical and societal challenges linked to language models and data management. From vector indexing to Green AI [...]
Data engineering and sustainability: Man, class of 2026, explores new approaches at DeVinci Research Center 17 March 2026 Man, class of 2026 and M2 student in Data and Artificial Intelligence, is completing a research internship at DeVinci Research Center. His work focuses on DaMoOp, a framework that connects data modelling decisions with performance, cost, and environmental impact. This experience reflects current developments in data engineering, where technical choices increasingly incorporate measurable, multidimensional criteria. [...]
Ecole Supérieure d'Ingénieurs
Léonard de Vinci
Paris • Nantes • Montpellier
Tél. : +33 1 81 00 28 38
admissions@esilv.fr
Recrutement
