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Master Program in Data and Artificial Intelligence

Taught entirely in English, the Data & Artificial Intelligence course, prepares future engineers to identify business needs and issues linked to exploitation of large data sets, to build analysis tools to collect this data, to organize and synthesize data sources in the form of exploitable results to model and anticipate new behaviors or uses, and to integrate regulatory issues linked to the exploitation of personal data.

The course includes teaching in statistics and computer science.

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 “Data and Artificial Intelligence” Master prepares future engineers to be capable of supporting companies in their ‘data-driven’ transformation by providing the skills needed to harness massive data to improve decision-making management efficiency, as well as anticipating future trends.

The courses in this major focus on mathematics, artificial intelligence, and more specifically Machine Learning and Deep Learning, 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

Convex Optimization
Cloud Computing
Functional Programming with Scala
Machine Learning II
NoSQL Databases
Natural Language processing

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

Convex Optimization
Cloud Computing
Functional Programming with Scala
Machine Learning II
NoSQL Databases
Natural Language processing

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

Transfer & Reinforcement
Learning
Distributed Machine Learning
Applications of Artificial Intelligence
Deep Learning
DevOps-MLOps
Data Management

PROFESSIONAL TRAINING
Plus de détails

Engineering internship from beginning April to end September

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

GENERAL TRAINING
Plus de détails

Law
Culture and communication
Adapt in a Globalized World Seminar
Management and Development Seminar
English or FFL (French as a Foreign Language)

Second language (optional)
Academic Conferences and round tables

Company Resource Planning

FUNDAMENTALS
Plus de détails

Transfer & Reinforcement
Learning
Distributed Machine Learning
Applications of Artificial Intelligence
Deep Learning
DevOps-MLOps
Data Management

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

GENERAL TRAINING
Plus de détails

Law
Culture and communication
Adapt in a Globalized World Seminar
Management and Development Seminar
English or FFL (French as a Foreign Language)

Second language (optional)
Academic Conferences and round tables

Company Resource Planning

PROFESSIONAL TRAINING
Plus de détails

Engineering internship from beginning April to end September

Learning objectives

By the end of this program, the Data and Artificial Intelligence engineer will know how to: 

  • Apply machine learning methods to company data
  • Implement data processing and analysis solutions
  • Create data visualizations to communicate analysis results
  • Implement, deploy and industrialize artificial intelligence solutions in the cloud

Career options

  • Data Scientist
  • Machine Learning Expert
  • Computer Vision Engineer
  • Data Analyst
  • Chief Analytics Officer