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Aerospace Education Catalogue

Mastère Intelligence Artificielle et Big Data

  • Organisation: ESGI
  • Type of Course: Life-long learning - Sandwich/Apprenticeship training
  • Language(s): English
  • Place: Paris, Bordeaux, Lyon & Lille (French Regions: Multisites)
  • Prepared diploma/grade/title: Mastère, Mastaire,... (master degree level from a French academic institution)
  • Level of entry: French Baccalaureat + 3
  • This training is included in RNCP / RS

Course Details

Objectives: Faced with the generalization of algorithms on a large scale and the massification of data, the Artificial Intelligence and Big Data specialization trains experts able to participate in large-scale projects, mastering the fundamental concepts, techniques and issues of artificial intelligence. .

The objective of the ESGI Artificial Intelligence and Big Data program is to train participants to practice a profession in the sector: data analyst, data scientist, but also CDO or Big Data and Distributed Systems Architect.

The data produced around the world takes increasingly complex forms, requiring new models and adapted technologies. Students are therefore trained in scientific methods of analysis, modeling and data processing useful in many fields: energy and environment, transport, commerce, health, human sciences, IT security, cyberdefense and digital governance.

The training allows you to acquire 60 ECTS credits per year. The Artificial Intelligence and Big Data course leads to Professional Certification at level 6 for the Bachelor and 7 for the Master, recognized by the State.

This course includes 65 days of classes per year.

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

Targeted careers : Data Scientist, Data Engineer, Big Data Consultant or Project Manager, Design or R&D Engineer, Big Data Architect, Data Systems Director (CDO)

Dedicated web site: https://www.esgi.fr/programmes/intelligence-artificielle-big-data.html

Disciplines

  • Engineering Sciences

Topics

  • 11 - Computer Science, Applied Mathematics, Modelling, Optimisation, Digital and Data Sciences, Big Data, Cryptography, Cybersecurity, Artificial Intelligence