It means creating, designing, and innovating; analyzing and modeling; interacting and communicating; facilitating and sharing; but also taking on challenges, developing, planning, and working toward a better world.
It means participating in the digital transition with IT and statistics, data management and processing, distributed networks and systems, big data technologies, and web development.
At the intersection of computer science, data science, and digital applications, the Computer Science, Data, and Applications specialization trains engineers to design high-performance, responsible computer systems.
This cutting-edge training program places data and AI at the heart of decision-making, innovation, and user needs, providing long-term support for the digital transformation of organizations.
IT: all software design and development tasks, as well as systems, networks, and databases.
DATA: tasks related to the collection, evaluation, and processing of big data.
USES: data issues in our societies and securing data for responsible and transparent use.



Engineering Sciences
Mathematics ■ Computer Science ■ Logic ■ Graphs and Languages ■ Statistics ■ Stochastic Modeling
Computer Science
ComputerDesign ■ Data Science■ Web Technology and Development Platforms ■ Applications and Uses ■ Data Governance Economics ■ Digital Societies ■ Collaborative Platforms ■ Operating Systems and Virtualization ■ Data Science Projects ■ Optimization and Multi-Criteria Decision Support ■ High-Performance Computing and Cloud Computing ■ Artificial Intelligence
Humanities and Project Management
English ■ Business Management ■ Project Management ■ Communication ■ Law ■ Financial Management ■ Management Systems ■ Creativity and Innovation Management ■ Organizational Theory ■ Management Techniques
Last year taught in English
Professionalization and international exposure are achieved through the involvement of professionals in training, internships (introduction to the professional environment, assistant engineer and engineer), research and development projects, and international mobility.
Companies involved in the training: CBTW, Didomi, Thales
The survey conducted by the University of Savoie Mont Blanc confirms the excellent placement of our Data Usage Engineering graduates in the job market.