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.
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Hanen OCHI
Responsable de la Majeure Data & IA
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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
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Understanding the limits of vertical growth in information systems
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Master Big Data frameworks such as Hadoop and Spark
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Understand the concepts of Big Data and the mechanisms of data governance
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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.
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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.).
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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 |
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.
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