Ce module a été développé afin de rendre le site Efrei accessible au plus grand nombre.

Si malgré notre vigilance, vous rencontriez le moindre problème d’accessibilité sur notre site, n’hésitez pas à nous contacter à l’adresse site-groupe@efrei.fr ou par téléphone au +33 188 289 000.

Master Program in Data Engineering

The major trains engineers capable of supporting companies in their data-driven transformation, by providing the skills needed to collect, store, analyze, transform and protect these multiple and diverse masses of data.

Taught entirely in English.

Program description

The production of digital data has grown exponentially in recent years. Data is being called the black gold of the 21st century, because coupled with artificial intelligence, it is revolutionizing health, business, urban planning, security and many other sectors.

The major trains engineers capable of supporting companies in their data-driven transformation, by providing the skills needed to collect, store, analyze, transform and protect these multiple and diverse masses of data.

The major’s courses focus on data integration, processing and engineering, not forgetting current regulations and ethics.

Program

FUNDAMENTALS
Plus de détails

Data Visualization
Machine Learning
Advanced Databases
Big Data Frameworks
Mathematics for Data Scientists

PROFESSIONAL TRAINING
Plus de détails

Technical internship from beginning November to end of March

APPLICATIONS
Plus de détails

Data Engineering I
Cloud Computing
Functional Programming with Scala
Web Services & API
NoSQL Databases
Datalakes & Data integration

MASTER PROJECT
Plus de détails

Technical, methodological and business support

Support for teams by certified coaches

Innovation Day: competition for the best project of the year with a panel of professionals

FUNDAMENTALS
Plus de détails

Data Visualization
Machine Learning
Advanced Databases
Big Data Frameworks
Mathematics for Data Scientists

APPLICATIONS
Plus de détails

Data Engineering I
Cloud Computing
Functional Programming with Scala
Web Services & API
NoSQL Databases
Datalakes & Data integration

MASTER PROJECT
Plus de détails

Technical, methodological and business support

Support for teams by certified coaches

Innovation Day: competition for the best project of the year with a panel of professionals

PROFESSIONAL TRAINING
Plus de détails

Technical internship from beginning November to end of March

FUNDAMENTALS
Plus de détails

Data Engineering II
Big Data Frameworks II
Applications of Big Data
Deep Learning
DevOps-MLOps
Data Management

PROFESSIONAL TRAINING
Plus de détails

6-month Engineer Internship (end of studies) starting mid-February

GENERAL STUDIES
Plus de détails

Legal
Culture and communication
Adapting in a globalized world seminar
Management and development seminar
English or FFL (French as a Foreign Language)

Second language (optional)
Conferences and academic roundtables
Business Resource Planning

 

ENGINEERING PROJECT
Plus de détails

Projects in partnership with companies

Research projects in Efrei’s research lab

Business creation projects

Engineering Day: Project presentation in front of a jury of professionals

FUNDAMENTALS
Plus de détails

Data Engineering II
Big Data Frameworks II
Applications of Big Data
Deep Learning
DevOps-MLOps
Data Management

GENERAL STUDIES
Plus de détails

Legal
Culture and communication
Adapting in a globalized world seminar
Management and development seminar
English or FFL (French as a Foreign Language)

Second language (optional)
Conferences and academic roundtables
Business Resource Planning

 

ENGINEERING PROJECT
Plus de détails

Projects in partnership with companies

Research projects in Efrei’s research lab

Business creation projects

Engineering Day: Project presentation in front of a jury of professionals

PROFESSIONAL TRAINING
Plus de détails

6-month Engineer Internship (end of studies) starting mid-February

Learning objectives

By the end of this program, the “Data Engineer” engineer will know how to: 

  • Implement solutions for processing, storing and analyzing massive data.
  • Design, build and optimize data lakes and data pipelines.
  • Understand the limits of the vertical growth in information systems and select appropriate Big Data solutions
  • Design, implement and optimize cloud storage and data processing solutions.

Career options

  • Data Engineer
  • Big Data Architect
  • Data Scientist
  • Big Data Consultant
  • Chief Analytics Officer