The Master Program in “Big Data and Machine Learning” prepares engineers capable of helping companies « extracting value » from their data.
The Master Program in “Big Data and Machine Learning” prepares engineers capable of helping companies « extracting value » from their data.
The Master Program in “Big Data and Machine Learning” 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.
4TH YEAR (M1)
Machine Learning
Applied Statistics
Distributed Algorithms
Convex Optimisation
Functional Data Programming
Advanced Machine Learning and Text Mining
Data structuring and NoSQL databases
Hadoop stack – Hive
Introduction to Cyber security
Data Visualisation and Applications
Applications of Big Data for IoT
Methodology and technical monitoring
Business Plan
Coaching: Support for teams
Competition with a jury of professionals
Technical internship, 4.5 months starting mid-April (M1)
Sustainable Development
Energy
Finance and Banking Insurance
New Media and Video Games
E-Health
Telecommunications and Internet
Transportation
Information Systems Architect
Consultant
Entrepreneur
Expert
Business Engineer
International Project Manager
5TH YEAR (M2)
Statistics and Machine learning
Artificial Intelligence
Python, R and Scala programming
Data wrangling
Use case modelling
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
Big Data
Authentification, Security and Access
Multimedia and 3D Applications
Design and Innovative Conception
Health and Medicine Innovation
Creativity and Entrepreneurship
Law
Culture and communication
Adapt in a Globalized World Seminar
Management and Development Seminar
English or FLE (Groups)
LV2 (optional)
Academic Conferences and round tables
Old Technology
Management and technical skills
Fundraising
Pilot an R&D Project to define the phases and recrutement for your teams
6-month Engineer Internship (end of studies) starting mid-February
By the end of this program, the Big Data and Machine Learning engineer will know how to: