Information Covid Research

Industry, Networks, Environment

The Advanced Statistical Engineering program at ENSAI opens up a wide array of career opportunities. These modeling experts master can use their know-how for quality-reliability for industry, environmental predictions, and signal and image treatment. 

Quality and safety are top priorities for industry. An Statistical Engineer/Data Scientist uses multitude of techniques to determine if a product meets quality standards (respects current regulations) as well as reliability expectations (functions properly) while keeping costs low. For reliability, s/he works in production services (monitoring assembly lines, improving planning, production, and service processes) and financial services (production volume, cost analysis).

Images have become omnipresent in today’s world. Naturally, image treatment has become common in several fields. All digital image treatment relies on algorithms based on statistical descriptions and mathematical modeling of images.

Signal Treatment combines all the material and software techniques which making manipulation, coding, decoding, and filtering of electrical signals. This field ranges from sensors to compression of data, images, and financial information. The application of signal treatment is vast and includes such varied fields as robotics, telecommunications, automobiles, aeronautics, finance, and more.

Are fishing quotas necessary for the survival of specific marine wildlife? Is the climate really changing? Do hedgerows contribute to biodiversity? What should agriculture be in the future (production, costs, pollution, preservation of species)? Is it possible to predict spikes in pollution? Does consuming or being in contact with certain products have an impact on health? A Data Scientist makes rigorous scientific analysis of data possible to help answer these and other critical questions.

Key Words

Signal and Image Treatment / Modeling / Filtering and Prediction
Quality Control / Reliability / Experiment Plans / Neural Networks


Data Scientist / R&D Engineer / Head of Statistical Studies

Businesses within the ENSAI ecosystem

Air Liquide / EDF / Engie / Expléo / Orange / Orano / Renault / RTE / Safran / SNCF / Thales / Valéo…

Catalog Course

promo génie statistique 2019

Industry, Networks, Environment, class of 2019


Lecturer in Statistics - Head of the Advanced Statistical Engineering program
+33 (0)2 99 05 32 39
ENSAI Admissions
Engineer Statistician and Official Statistician Admissions
+33 (0)2 99 05 32 47 / 32 03