Space applications
training courses

Ingénieur Data Sciences et Data Analyst (2ème année) - Filière Statistique et ingénierie des données (3ème année)

• Organisation : ENSAI
• Way of training : Initial education
• Language(s): French
• Place: BRUZ (près de Rennes) (French Regions: Bretagne)
• Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
• 1st required level : French baccalauréat + 2

Course Details

Objectives : The Data Scientist who followed the ENSAI’s "Statistics and Data Engineering" specialization has a strong computer culture associated with his initial background as a statistician. Expert in Big Data environments, he has sufficient knowledge in systems architecture, networks and computer security to handle very large volumes of data, create data warehouses and conduct multi-dimensional analyses of these data. He is also proficient in semantic web technologies.

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

Targeted careers : Data Scientist / Social network Analyst / Risk Manager / Health Big Data Analyst / Supply Chain Optimizer

Duration and terms : 3 years

Dedicated web site : http://ensai.fr/apres-lensai/les-metiers-de-la-data-2/lingenierie-des-donnees/

Space Technologies and Scientific Disciplines

• Data processing and analysis (Signal and image processing, big data, learning algorithms, artificial intelligence...)
• Earth observation (Remote sensing, GIS, geomatics)