Master Program in Data and Artificial Intelligence

The Master Program in “Data and Artificial Intelligence” prepares engineers capable of helping companies « extracting value » from their data.

Program description

The Master Program in “Data and Artificial Intelligence” prepares engineers capable of helping companies « extracting value » from their data.

Course content includes theoretical components (e.g. Statistics, Machine Learning) and practical elements (e.g. data-centric programming, distributed systems for BIG data, data visualization).

Multiple Case Studies included in the program help to reinforce an understanding of the potential role and application of these techniques in the value chain of companies as well as the proposal of Big Data and Machine Learning solutions based on the needs of different fields.

Program

FUNDAMENTALS
Plus de détails

Machine Learning
Applied Statistics
Distributed Algorithms
Convex Optimisation
Functional Data Programming
Advanced Machine Learning and Text Mining

POSSIBLE SECTORS
Plus de détails

Sustainable Development
Energy
Finance and Banking Insurance
New Media and Video Games
E-Health
Telecommunications and Internet
Transportation

APPLICATIONS
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Data structuring and NoSQL databases
Hadoop stack – Hive
Introduction to Cyber security
Data Visualisation and Applications
Applications of Big Data for IoT

PROFESSIONAL TRAINING
Plus de détails

Technical internship, 4.5 months starting mid-April (M1)

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

Machine Learning
Applied Statistics
Distributed Algorithms
Convex Optimisation
Functional Data Programming
Advanced Machine Learning and Text Mining

APPLICATIONS
Plus de détails

Data structuring and NoSQL databases
Hadoop stack – Hive
Introduction to Cyber security
Data Visualisation and Applications
Applications of Big Data for IoT

INNOVATIVE PROJECTS IN M1
Plus de détails

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

POSSIBLE SECTORS
Plus de détails

Sustainable Development
Energy
Finance and Banking Insurance
New Media and Video Games
E-Health
Telecommunications and Internet
Transportation

PROFESSIONAL TRAINING
Plus de détails

Technical internship, 4.5 months starting mid-April (M1)

FUNDAMENTALS
Plus de détails

Statistics and Machine learning
Artificial Intelligence
Python, R and Scala programming
Data wrangling
Use case modelling

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 

SCIENCE ELECTIVE COURSE
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Artificial Intelligence, Deep Learning and Applications
Blockchain: Challenges and Opportunities
Big Data for Companies
Creativity and Entrepreneurship
Design et conception
Internet of Things
Health Innovation
Security Management
Web et 3D
Analysis, software vulnerability
Security Seminar

PROFESSIONAL TRAINING
Plus de détails

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

SCIENTIFIC OPPORTUNITIES
Plus de détails

Big Data
Authentification, Security and Access
Multimedia and 3D Applications
Design and Innovative Conception
Health and Medicine Innovation
Creativity and Entrepreneurship

FUNDAMENTALS
Plus de détails

Statistics and Machine learning
Artificial Intelligence
Python, R and Scala programming
Data wrangling
Use case modelling

SCIENCE ELECTIVE COURSE
Plus de détails

Artificial Intelligence, Deep Learning and Applications
Blockchain: Challenges and Opportunities
Big Data for Companies
Creativity and Entrepreneurship
Design et conception
Internet of Things
Health Innovation
Security Management
Web et 3D
Analysis, software vulnerability
Security Seminar

SCIENTIFIC OPPORTUNITIES
Plus de détails

Big Data
Authentification, Security and Access
Multimedia and 3D Applications
Design and Innovative Conception
Health and Medicine Innovation
Creativity and Entrepreneurship

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 Big Data and Machine Learning engineer will know how to: 

  • Apply machine learning methods to business data;  
  • Implement solutions for processing and analyzing Big Data;  
  • Navigate the choice of Big Data solutions based on a company’s strategic needs;  
  • Capitalize on and leverage data to the benefit of the business. 

Career options

  • Data Scientist 
  • Big Data Architect 
  • Data Engineer  
  • Big Data Consultant