Aerospace Education Catalogue

Ingénieur ESIEE Paris - Datascience et intelligence artificielle

• Organisation: ESIEE Paris
  (Université Gustave Eiffel)
• Type of Course: Initial education
• Language(s): French
• Place: Noisy-le-Grand / Champs-sur-Marne (French Regions: Ile-de-France)
• Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
• Level of entry: French Baccalaureat + 2

Course Details

Objectives: In a context of very strong growth in data science, big data and
artificial intelligence, the sector trains data processing engineers. THE
main missions of this engineer are to transform the data into a format
adapted to analysis (data engineer), and to participate in the development of algorithms which
translate data into useful and actionable information (data scientist). In short, its
role is to collect, prepare, analyze and use data in order to guide the company
in which he is working towards a new business strategy.

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

Admission requirements: BUT 2/3 – DUT – BTS – CPGE – Bachelor – License (on application and interview)

Targeted careers : SSII
Tertiary sector (banking, insurance, marketing, etc.)
Telecom operators and networks
Large enterprises IT sector
R&D
Multimedia

Duration and terms: 3 years

Notes: CTI approved training

Dedicated web site: https://www.esiee.fr/formations/ingenieur/filieres/data-science-et-intelligence-artificielle

Disciplines

• Engineering Sciences
• Applications, Operations

Topics

• 11 - Data Sciences: Applied Mathematics, Signal and Image Processing, Cryptography, Artificial Intelligence (machine learning, big data, etc.), Computer Science, Cloud, Software Engineering, Virtual Reality, Virtualization, Digital Twins, Metaverse, etc.
• 15 - Earth Observation: Remote Sensing, Detectors, Radar, Synthetic Aperture, Lidar, Geographic Information Systems (GIS), Distribution/Dissemination, Geomatics...