National School of Computer Science and Applied Mathematics of Grenoble
The National School of Computer Science and Applied Mathematics of Grenoble, commonly known as ENSIMAG, is one of France’s leading engineering schools specializing in computer science, applied mathematics, and telecommunications. Founded in 1960, ENSIMAG consistently ranks among the country’s top institutions for IT and applied mathematics and is renowned for producing graduates who excel in research and development, financial technology, cybersecurity, and high‑performance computing. ENSIMAG is a member of the Conférence des Grandes Écoles, a partner institution of École Polytechnique, and an integral part of Grenoble INP. The school maintains close ties with major research organizations such as CEA and INRIA, fostering a strong ecosystem of innovation and industry collaboration.
ABOUT ENSIMAG
ENSIMAG is widely recognized as one of France’s leading engineering schools in computer science, applied mathematics, and telecommunications.
The school maintains strong ties with major French research institutions such as CEA (Commissariat à l'Énergie Atomique et aux Énergies Alternatives), INRIA, as well as with industry partners.
ENSIMAG alumni are prominent in fields like cryptography, hardware security, and software development, with many graduates working in top technology companies, research laboratories, and startups across Europe and worldwide.
CORE AREAS OF EXPERTISE
Computer Science & Software Engineering
Algorithms and Programming Languages, Software Design and Verification, and High-Performance Computing (HPC)
Cybersecurity & Cryptography
Hardware and Embedded System Security, Smart Card and Secure Element Technology, Applied Cryptography and Protocol Design, and Blockchain and Web3 Security
Applied Mathematics & Modeling
Numerical Analysis and Simulation, Optimization and Operations Research, and Probability, Statistics, and Data Modeling
Data Science & Artificial Intelligence
Machine Learning and Deep Learning, Big Data Architectures, and Mathematical Foundations for AI
Telecommunications & Networks
Network Architecture and Protocols, Distributed Systems and Cloud Computing, and Real-Time and Embedded Systems
Financial Engineering & Quantitative Methods
Risk Modeling and Derivatives Pricing, Computational Finance and Algorithmic Trading, and Mathematical Modeling for Economics