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Aerospace Education Catalogue

Ingénieur ESILV, majeure : Data et Intelligence Artificielle

  • Organisation: ESILV
  • Type of Course: Initial education
  • Language(s): French
  • Place: Paris (French Regions: Ile-de-France)
  • Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
  • Level of entry: French Baccalaureat + 2
  • This training is included in RNCP / RS

Course Details

Objectives: Engineers in this engineering school training major are involved in artificial intelligence projects as well as data enhancement projects that will be central to all economic and industrial sectors in the years to come.
lessons:
- Machine Learning and mathematics for data science
- Deep Learning
- Data visualization
- Text data mining and sentiment analysis
- Predictive models
- Relational databases and NoSQL
- Advanced application development
- IT project management and agility
- Cloud computing and data centers

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

Acquired skills during the training : - Lead, develop and manage an IT project
- Design and deploy Big Data solutions
- Master development technologies and Big Data frameworks
- Master the algorithms and tools of data science and data visualization
- Design and implement Artificial Intelligence solutions

Targeted careers : Data Scientist, Data Engineer, Data Officer, Big Data Project Manager, Big Data Developer, Analytics and Visualization Consultant, AI Engineer

Dedicated web site: https://www.esilv.fr/formations/cycle-ingenieur/majeures/data-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...
  • 17 - Programme and Production Management: Project Management, Lean, Industrialization, Life Cycle, Ecodesign, Supply Chain, Assembly Line, Digital Transformation, Factory of the Future, Integration, Maintenance, Recycling, etc.