Gifas Issat.com
Aerospace Education Catalogue

Ingénieur.e Sciences du numérique majeure data science et intelligence artificielle

Course Details

Objectives: • Develop techniques for collecting and managing very large quantities of information
• Implement algorithms to analyze and interpret large quantities of information
• Aggregate complex and heterogeneous data sets
• Develop solutions based on artificial intelligence to make operational or strategic decisions
• Develop validation tools for these solutions
• Integrate the ethical and societal dimension into the use of data and their destination

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

Prerequisites: Hold a general baccalaureate with a scientific emphasis, STI2D or STL

Acquired skills during the training : Technical skills: Having developed advanced skills in programming, statistics, machine learning and artificial intelligence, engineers from this major are experts capable of collecting, processing, analyzing and interpreting large amounts of data , often complex and heterogeneous, to make strategic decisions and develop solutions based on AI.
Soft skills: Interlocutor of many stakeholders, he demonstrates availability, organization, anticipation, diplomacy. Its communication capacity is essential in contexts involving exchanging reliable information and demonstrating agility.

Targeted careers : - Ingénieur Big Data / Data Scientist / Data Miner
- Chief Data Officer
- Gestionnaire des Produits de Données / Ingénieur délégué à la Protection des Données
- Coach Robot

Duration and terms: 5 or 3 years, in many other Campuses
3-year apprenticeship course also

Dedicated web site: https://www.cesi.fr/cursus-ingenieur-sciences-du-numerique-majeure-data-science-et-intelligence-artificielle/

Disciplines

  • Engineering Sciences
  • Applications, Operations

Topics

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