Data is the black gold of the 21st century. We need to understand and master the technologies that allow us to collect it, secure it, analyze it and extract information from it.
Zouina ALLANIC
Head of the Big Data & Analytics Major
Big Data & Analytics Major
The data revolution
Presentation of the Big Data & Analytics Engineering Cycle
Even if the principle of analyzing and processing a large amount of data to extract information is not a new process, it relies in the era of Big Data on infrastructures in technological disruption. 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 Big Data & Analytics major trains engineers who are capable of supporting companies in their digital transformation process by implementing “Datalakes” 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
Big 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
- Big Data Project Manager
- Big Data Architect
- Data scientist
- Research engineer in computer vision and deep learning
- Data engineer
The Head of the Major – Zouina ALLANIC
An engineer with a DEA in Computer Science from the Pierre and Marie Curie University and a PhD from the Paris-Sud Orsay University (1997), she began her career at Six Financial Information as an IT Project Engineer in the design and development of real-time applications. She also has several years of experience in IT crisis management and incident response related to the field of stock market information.
Passionate about digital education, Zouina Allanic managed the IT department of the Paris campus of a large French group specialized in private digital education. She also created a startup in Edtechs to raise digital awareness among young people and help them understand the technological world around them.
The program
2nd year of the engineering cycle (S7 and 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 |
3rd year of the engineering cycle (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 |
Discover the training in pictures
Discover the other majors of the ECE Engineering Cycle
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