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Space Education Catalogue

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

• Organisations :
  • CESI École d’Ingénieurs, Campus de Toulouse
  • CESI Ecole d'Ingénieurs, Campus de Rouen
  • CESI Ecole d'Ingénieurs, Campus de Paris (La Défense-Nanterre)
• Way of training : Initial education
• Language(s): English
• Place: Labège (31), Rouen, Paris (French Regions: Occitanie)
• Prepared diploma/grade/title: Diplôme d’ingénieur (French national engineering degree)
• 1st required level : French baccalauréat + 0

Course Details

Objectives : The current digital transformation of businesses is driving significant changes in information systems (security, data access, cloud computing) and new IT practices (BYOD, remote work, etc.). CESI engineers leverage their technical and scientific skills in this environment to successfully complete IT projects. They will have all the necessary tools to advance in their career, manage, and lead large-scale projects. Beyond their acquired skills, they will also possess the interpersonal skills to build and manage a team. Their adaptability will allow them to accelerate their career progression towards positions of significant responsibility.

Public concerned : Holder of a French baccalaureate or equivalent (IB, ...), passionate about science and curious about future technologies and computer science and wishing to become an engineer with an international outlook through a hybrid course, first in French, then in English.

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

Acquired skills during the training : In an engineering program, students progress from technician to engineer:

- Experienced technician at the end of the first year: they have mastered the technical aspects of their tasks and can apply them independently.
- Assistant engineer at the end of the second year: they can address problems requiring innovative solutions and supervise teams in the field.
- Junior engineer at the end of their studies: they are autonomous in handling entire projects, integrating technical, economic, organizational, and human dimensions.

Targeted careers : Big Data Engineer / Data Scientist / Data Miner
Robot Coach / Robotics Engineer
IT Project Manager
Information Systems Architect / Network Architect
Cybersecurity Engineer
Embedded Systems / IoT Engineer

Dedicated web site : https://www.cesi.fr/formation/ingenieur-e-en-sciences-du-numerique-section-anglophone-cursus-en-5-ans-2564063/

Disciplines

• Engineering Sciences

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.