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Grenoble INP-UGA Graduate schools of Engineering and Management
Grenoble INP, Graduate Schools of Engineering and Management, Université Grenoble Alpes includes 8 engineering and management schools, 2 engineering preparatory cycles and a professional training department. Grenoble INP-UGA is a division of Université Grenoble Alpes (UGA) Rooted in its territory, multidisciplinary and open to the world, UGA brings together all the strengths of public higher education in Grenoble and Valence. The institution counts 59,000 students, including 10,500 international students, 3,000 PhD students, and 7,800 staff.
Grenoble INP-UGA Ensimag – UGA (Graduate School of Engineering in Applied Mathematics and Computer Sciences) is one of the eight schools within Grenoble INP-UGA specialized in the fields of Applied Mathematics, Informatics, and Telecommunications.
Ensimag belongs to the French system of “Grandes Écoles”, highly selective public technical universities delivering the prestigious “diplôme national d’ingénieur”. Top French educational institution and pioneer in the field of information processing, Ensimag constantly evolves by adjusting its programs to current and future challenges in science and technology.
The strong connection between Mathematics and Informatics contributes to the high level of expertise that characterizes its future engineers. They are able to understand and master, during their whole professional career, the complexity of the world and the evolution of systems.
Computing and Data Infrastructures or Applied AI and Interactive Systems at Grenoble INP-UGA
Year 2 in Grenoble offers a recognized education in two different domains: cloud computing-related topics or Applied AI. The students may either specialize in topics like designing, implementing, and optimizing cutting-edge technologies for managing large-scale data systems, cloud-based solutions and Information Security. The other track focuses on a broad spectrum of technologies dealing with the application of AI techniques and interactive system like Natural Language Processing, Computer Vision etc.