Data Science and AI for competitive manufacturing (EIT-M)


 

EIT Manufacturing Master's - Data Science and AI for competitive manufacturing

'Data Science and AI for competitive manufacturing' is one of the five programmes on offer via the EIT Manufacturing Master School. This programme is a combination of manufacturing science and information and communication technology. Students study in two different countries moving from their entry university at the end of the first year to their exit university in a different country for the second year. The language of instruction throughout is English.
Course Overview

The courses at Centrale Nantes will introduce the paradigms of company management based on new information environments and systems, including cyber-physical systems.

At the conclusion of the programme, students should be able to model an enterprise, to simulate and optimize its performance, to model and develop solutions for inter-operability between information systems, based on ontologies and multi-view models at different scales (shop floor, factory, company, extended enterprise). New technologies like IoT, smart and agile organizations, etc., and interaction technologies, like virtual and augmented reality, will be integrated in the courses. The place of humans in new smart organizations will also be considered.

What qualifications are awarded?

  • 2 Master degrees (conferred by the entry and exit universities)
  • An EIT Label Certificate
  • Graduates also earn 120 ECTS credits.
Partner Universities
 
  • University of Applied Sciences and Arts of Southern Switzerland (SUPSI)
  • Università di Trento (UNITN), Italy
  • Centrale Nantes (ECN), France
  • University College Dublin (UCD), Ireland
Mobility Schemes

Two mobility schemes on offer at Centrale Nantes within this programme.

Successful completion of the programme leads to the award of two degrees.
 

Entry University - Year 1

Exit University - Year 2
ECN - Centrale Nantes
UNITN - Università di Trento
 

UNITN - Università di Trento
 		 ECN - Centrale Nantes
Course Contents & Degrees
ECN > UNITN
Entry University: Centrale Nantes
Exit University: Università di Trento
 
Overview

This study path enables students to focus on industrial engineering, through competencies of modeling and simulation approaches. They will also develop ICT competencies.

Qualifications

Successful completion of the programme leads to the award of two degrees:
 

  • Master of Science, Technology and Health, specialisation in Industrial Engineering * (ECN)
  • Master of Computer Science (UNITN)

* Fully accredited by the French Ministry of Higher Education, Research and Innovation
Study Plan

Download syllabus | M1 year at Centrale Nantes


M1 Year


Learn more about the Università di Trento (UNITN)

UNITN > ECN
Entry University: Università di Trento
Exit University: Centrale Nantes
 
Overview
The technical courses provide students a solid foundation in Machine Learning and Data Mining as well as some fundamentals about digital industrial production and digital manufacturing. Students will also develop skills for enterprise management based on process performance assessment and information systems design and management for smart and connected enterprises.
Qualifications

Successful completion of the programme leads to the award of two degrees:
 

  • Master of Science, Technology and Health, specialisation in Industrial Engineering * (ECN)
  • Master of Computer Science (UNITN)


* Fully accredited by the French Ministry of Higher Education, Research and Innovation

Study Plan

Download syllabus | M2 year at Centrale Nantes


M2 Year


Learn more about the Università di Trento (UNITN)

What is EIT Manufacturing?

EIT Manufacturing is an Innovation Community within the European Institute of Innovation & Technology (EIT) – that connects the leading manufacturing actors in Europe. Fueled by a strong interdisciplinary and trusted community, we will add unique value to European products, processes, services – and inspire the creation of globally competitive and sustainable manufacturing.

Published on November 4, 2021 Updated on January 2, 2024