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Master Program in Data Engineering

Entirely taught in English, the ‘Data Engineering’ Master Program prepares the future engineer to:

  • Identify business needs and issues related to the exploitation of big data
  • Design and create architectures, pipelines, and infrastructures to collect, prepare, and transform data into usable formats
  • Manage the scalability of Big Data infrastructures
  • Ensure data integrity and publish APIs It includes the necessary lessons in computer science and data engineering

It includes the fundamental courses in computer science and data engineering.

Program description

The Master Program in “Data Engineering” prepares engineers capable of helping companies in their ‘”data-driven” transformation.

The production of digital data has continued to increase exponentially in recent years. Data is thus called the black gold of the 21st century, because coupled with artificial intelligence, they are revolutionizing health, business, urban planning, security and many other industries.

The ‘Data Engineering’ Master program trains engineers to be capable of supporting companies in their ‘data-driven’ transformation by providing the necessary skills to be able to collect, store, analyze, transform and protect these masses of multiple and diverse data.

The lessons of the Master program revolve particularly around mathematics, artificial intelligence and more specifically ‘Machine Learning’ and ‘Deep Learning’ without forgetting the regulations in force and ethics.

The program prepares the engineer to:

  • Build tools for analyzing and processing structured and unstructured data
  • Organize and synthesize data sources into actionable results
  • Integrating regulatory issues related to the use of personal data
  • Implement, deploy, and industrialize artificial intelligence solutions to model and anticipate new behaviors and uses

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, 4.5 months starting beginning of Novembre through the end of March (M1)

APPLICATIONS
Plus de détails

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

INNOVATIVE PROJECTS IN M1
Plus de détails

Methodology and technical monitoring
Business Plan
Coaching: Support for teams
Competition with a jury 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

INNOVATIVE PROJECTS IN M1
Plus de détails

Methodology and technical monitoring
Business Plan
Coaching: Support for teams
Competition with a jury of professionals

PROFESSIONAL TRAINING
Plus de détails

Technical internship, 4.5 months starting beginning of Novembre through the end of March (M1)

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 French language courses (LV2) – optional
Conferences and academic roundtables
Business Resource Planning

 

END OF STUDIES PROJECT (M2)
Plus de détails

Old Technology
Management and technical skills
Fundraising
Pilot an R&D Project to define the phases and recrutement for your teams 

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 French language courses (LV2) – optional
Conferences and academic roundtables
Business Resource Planning

 

END OF STUDIES PROJECT (M2)
Plus de détails

Old Technology
Management and technical skills
Fundraising
Pilot an R&D Project to define the phases and recrutement for your teams 

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 massive data processing, storage and analysis solutions
  • Design and build data lakes and data pipelines and optimize them
  • Create data visualizations to communicate analysis results efficiently
  • Understand the limits of the vertical growth of information systems and the advantages of distributed systems and know how to choose Big Data solutions according to business needs
  • Understand the different stages of Big Data projects and the added value of each
  • Design, implement and optimize cloud storage and data processing solutions.

Career options

  • Data Engineer
  • Big Data Architect
  • Big Data Consultant
  • Big Data Production Engineer
  • Data Steward
  • Data Scientist