La data est l’or noir du 21ème siècle. Il faut comprendre et maîtriser les technologies qui permettent de la collecter, la sécuriser, l’analyser et d’en extraire l’information.
Hanen OCHI
Responsable de la Majeure Data & IA
Big Data & Analytics Major
The data revolution
- Duration: 2 years
- Start date: September 2024
- Campus: Paris
- ECTS credits : 120
- Language of instruction: English for initial training, French for apprenticeships
- Pattern: Full-time, Part-time
Presentation of the Big Data & Analytics Engineering Cycle
Even if the principle of analyzing and processing large amounts of data to extract information is not a new process, in the Data Age it relies on infrastructures that represent a technological breakthrough. We can now process gigantic volumes of data, at an incomparable speed, while integrating a variety of structured or unstructured data (images, videos, sounds, texts, logs, etc.).
The Data & AI major trains engineers who are capable of supporting companies in their digital transformation initiatives by setting up “Datalake” projects and analytical applications. These paradigm shifts bring a better understanding of governance issues and data quality.
The objectives of the Big Data & Analytics Engineering Cycle
Understanding the limits of vertical growth in information systems
Master Big Data frameworks such as Hadoop and Spark
Understand the concepts of Big Data and the mechanisms of data governance
Master Machine Learning algorithms and data analysis and manipulation tools (R, Spark, Python, Matlab, etc.)
Curriculum
Data (or massive data) coupled with Machine Learning is revolutionizing the use of data.
- Advanced web technologies
- Advanced databases
- Operating systems
- Computer networks
- IT Infrastructure
- DevOps with SRE
- Machine learning
- Security of information systems
This training is also available as an APPRENTICESHIP.
Career opportunities for the Big Data & Analytics engineering major
- Data Project Manager
- Data Architect
- Data scientist
- Research engineer in computer vision and deep learning
- Data engineer
Major Manager – Hanen OCHI
Hanen received his PhD in computer science from Université Paris 13 in December 2015. She then held a teaching and research associate position at the Institut Galilée (a teaching establishment) and at LIPN (the computer science laboratory of the Université Paris-Nord). After that, she worked as a Data R&D engineer on various innovation projects (autonomous cars, predictive analysis, opinion analysis, etc.).
The program
2ème année du cycle ingénieur (S7 et S8)
| Course | Hours |
|---|---|
| Advanced web technologies | 30h |
| Advanced databases | 27h |
| Operating systems | 27h |
| Computer networks | 27h |
| IT Infrastructure | 18h |
| DeOps with SRE | 27h |
| Elective 1: Microsoft C# or Advanced Java | 27h |
| Elective 2: Mobile Programming or Mathematics for Data Scientists | 27h |
| Machine Learning I | 33h |
| Information system security I | 24h |
| Management of information systems | 18h |
| Computer network security | 27h |
| Conferences: Data Regulation and RGPD, Business Intelligence, Identity |
3ème année du cycle ingénieur (S9)
| Course | Hours |
|---|---|
| Business Intelligence | 20h |
| Real Time Big Data Search and Analytics | 8h |
| Machine Learning II | 16h |
| Deep Learning | 28h |
| Big Data Ecosystem | 28h |
| Data Engineering with Spark | 12h |
| Data Analytics | 28h |
| Ethics of artificial intelligence | 20h |
Découvrez les autres Majeures du Cycle Ingénieur de l’ECE
Find out more about our training courses?
- Our downloadable brochures will answer all your questions.
- Open days are held throughout the year on our 4 campuses.
