aller au menu   |   aller au contenu

www.cnes.fr www.issat.com
Space Education Catalogue

Courses

Master Sciences et Ingénierie des Données, Science des Données

Course Details

Objectives : Data science is a scientific discipline that has emerged over the last ten years and which will generate a major transformation of society, profoundly affecting many sectors of activity ranging from robotics to digital humanities, including logistics, home automation, e-commerce, finance or health. This transformation is based on the multiplication of capture devices, the ubiquity of connected objects and the Internet of Things (IoT), which allow the acquisition of immense masses of data (Big Data). This ever-increasing amount of data constitutes a wealth that must be explored, selected, filtered and interpreted in order to generate knowledge. This ability to extract knowledge from data will be in the very short term, and for a long time, a vector of innovation and wealth.
In this context, the typical Data Science (SD) course of the Master Data Science and Engineering (SID) aims to train engineers and researchers in data science for various sectors of activity such as software publishing, the Internet and e-commerce, public services, automobiles, the High-Tech industry, finance, or biomedical.

Degree Level (EU) : 7 - (EQC level or equivalent)

Prerequisites : Recommended licenses:
- EEEA license
- Informative license
- Mathematics degree

Targeted careers : The professions concerned are those of data analyst, but also of R&D engineer or researcher in statistical learning, data extraction, data management, data mining.

Dedicated web site : https://formation.univ-rouen.fr/fr/catalogue-de-l-offre-de-formation/master-lmd-XB/master-science-des-donnees-L5HXA4SK/master-sciences-et-ingenierie-des-donnees-science-des-donnees-L5HXB08R.html

Dedicated web site : https://www.insa-rouen.fr/formation/masters/sciences-et-ingenierie-des-donnees (INSA)

Disciplines

Topics