Elective major - Data and Artificial Intelligence

Campus : Paris-Vélizy
Prerequisites: Information Systems

Objective

The option trains engineers in the fields of artificial intelligence and data science (with a particular focus on Big Data technologies). The wide range of course units covers the technological standards in force in industry as well as the scientific and technical foundations of these fields.

The DAIA specialisation aims to prepare ESEO engineers to be part of the global dynamic around data, from its production to its processing and analysis, based on dedicated science, software and hardware.

Skills

The ESEO Data Intelligence engineer masters the various technologies and methods inherent in the data life cycle. They have expertise in hardware, database architecture and data extraction, processing and storage strategies.

With its strong technical content, this course prepares engineers to respond autonomously and effectively to the various problems associated with working with data in the industrial world, and enables them to anticipate developments in the sector.

Teaching units

Semester 8

Data management systems: 5 ECTS – 47.5h
- Network and IS Security, Data Management, Advanced Databases
Data Analysis & Learning: 7 ECTS – 90h
- Optimisation, Machine learning, Operations research and graph theory, data analysis
Synthesis project: 8 ECTS – 16h
Artificial Intelligence Sciences and Technologies: 5 ECTS – 73.5h
- Deep Learning, Application of AI
Big Data Sciences and Technologies: 5 ECTS – 70h
- Big Data: fundamentals, Distributed systems and calculations.

Semester 9

**Artificial Intelligence* (AI)**

Final year project: 14 ECTS – 168h 7 compulsory teaching units (each worth 2 ECTS for 28 hours):
- Cloud Computing
- AI architecture
- Advanced optimisation and distributed computing
- Data Collection
- Functional languages and databases
- Advanced Machine Learning
- Natural language processing
- Reinforcement learning
- English

Data Intelligence

Final year project: 14 ECTS – 168h 7 compulsory teaching units (each worth 2 ECTS for 28 hours):
- Data collection
- Data analysis
- DB architectures
- AI DATA
- Cloud computing
- Natural language processing
- Reinforcement learning
- Functional languages and databases
- English

*In 2024/2025, the DAIA option will combine 2 former options: Artificial Intelligence & Data Intelligence Semester 8 has been designed for the new option, but semester 9 remains split into 2 options for this year