M2 Industry 4.0

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Keywords

M2 Industry 4.0

Presentation

Presentation

 

 

The aim of this master is to train Computer Sciences and Information Technologies experts in order to be able to address the new challenges of current and future generations of digital societies. Current trends on digital technologies represented by the Internet of things, cyber-physical systems, social networks, cloud computing, big data and cognitive computing, mobile robotics, digital twin, and additive manufacturing have provided the basis for a new industrial revolution named Industry 4.0.

Our Industry 4.0 Computer Sciences Master degree offers a 1 year, full-time postgraduate program, aimed at providing solid scientific and technological foundations in order to innovate, design and develop future digital organizations based on the new Smart Anything Everywhere (SAE) paradigm. It is suited for students planning both an academic or an industrial career and provides the theoretical basis and the practical expertise required to pursue in research or R&D organizations.

The master is fully taught in English providing a main core curriculum and two options named IT Digital Transformation and Digital Manufacturing.

This master is hosted by the College of Sciences and Technologies for Energy and Environment (STEE) of the Université de Pau et des Pays de l’Adour (UPPA) in Anglet (France) as well as by The National Engineering School of Tarbes (ENIT) of the National Polytechnic Institute of Toulouse, in Tarbes (France).

This master is supported by the prestigious French Initiative of Excellence label I-SITE (Initiatives Sciences, Innovation, Territories and Economy) obtained by the E2S-UPPA project and profit from the territorial synergy of the Aerospace industry located in the south west valley of France.

The program is carried out in close collaboration with the Computer Sciences Laboratory of the UPPA (LIUPPA research laboratory) and with the Production Engineering Laboratory of the ENIT (LGP research laboratory) as well as several R&D organisations, where scientific and experimental practicals will be performed.

Students will also benefit from the global research environment and administrative support of the University Pau & Pays Adour, the ENIT and the E2S I-site program.

Objectives

  • Prepare students at an advanced specialised level to meet present and future scientific and technological challenges in digital industries and enterprises.
  • Develop research skills to engage in quality and successful research,
  • Prepare students for leading positions in private and public organisations in research and development departments.

Knowledge and skills

At the end of this program, the students in the « Industry 4.0 Computer Science Master”  will be able to:

  • Identify and analyse the functional and non-functional requirements of digital organisations (industries and enterprises).
  • Design and model multi-dimensional architectures resulting from the integration and coordination of Internet of Everything entities (IoT, Data, People, Services, Cloud Computing infrastructures, robots, 3D printers, etc.) aimed at satisfying the requirements of digital organisations.
  • Develop and implement a proof of concept system integrating the various Internet of Everything dimensions.
  • Design and conduct experiments in order to test and evaluate Industry 4.0 systems.
  • Review, analyse, and interpret the body of scientific literature, contemporary issues and innovations computer sciences and information technologies disciplines.
  • Carry out a research project aimed at developing a state of the art as well as identifying and solving scientific and technological challenges within the context of the Industry 4.0.

Additional information

Program intensity: Full-time

Duration: 1 year

Languages: Fully taught in English

Delivery mode: 

  • On Campus at STEE College and LIUPPA Laboratory (Anglet) for the IT Digital Transformation option.
  • On Campus at ENIT and LGP Laboratory (Tarbes) for the Digital Manufacturing 
  • Online program based on online training (tutored and self-paced sessions) and individual and collective virtual learning environments.
Scholarships
International Welcome Desk

Students

20

Organisation

Training content

Master 2 Computer Sciences: Industry 4.0

Academic Semester 1

Course Title

Course Description

ECTS*

Industry 4.0 cyber-physical Systems Engineering

This course is designed to provide students with theoretical and practical skills to understand and perform requirements analysis and systems design, including systems engineering referential models and methodologies for Industry 4.0 cyber-physical systems.

This course also aims to provide an overview and raise awareness on topical issues in innovation management. It deals with issues such as: Entrepreneurship, management 4.0, PSS, Quality, Sustainability, Predictive maintenance, Lean 4.0, Security, confidentiality, QoS, ethics.

4

Business Intelligence and Business Analytics

This course aims at providing students with the foundations and developing competences in designing data flow paths allowing the construction of multi-dimensional data warehouses as well as the implementation of machine learning techniques in order to implement diagnosis, prediction and prescription models for smart systems.

 4

Research Initiation

This course aims at providing students with scientific methodologies and project management competences for developing a real industrial and/or research oriented project.

3

French as a Foreign Language, English

This course aims at acquiring competencies in both written and oral communication in French or English

 

3

IT Digital Transformation option (UPPA ANGLET Campus)
Service and Micro-Service Oriented Architectures

This course aims at providing students with the concepts and approaches for understanding and designing distributed systems allowing them in particular  understand and to apply service-oriented and micro-services-oriented approaches for designing and developing heterogeneous systems and system of systems. Integration and interoperability solutions will be studied and applied.

4

Cloud Computing Services and Technologies

The aim of this course is to provide students with the knowledge and competences in order to design and develop scalable, secure and cost-efficient infrastructures, platforms and software as a services for digital organisations.

4

Internet of Things

The aim of this course is to provide students with the knowledge and competences in order to design and develop of Smart IoT systems based on the integration and orchestration of sensors and effectors objects of cyber-physical systems.

4

Semantic Web, Advanced Databases and Open Linked Data

This course aims at providing students with basic skills for designing and developing structured and unstructured advance databases in order to cope with the heterogeneous data planes dimensions required by the generations of information systems.

4

Digital Manufacturing option (ENIT Tarbes Campus)

 Advanced Robotics

At the end of this course, the student should able to analyze a given application in order to establish a robotic/cobotic solution to automatize it by considering different aspects and constraints. From this training, the student will be also able to explain robotics tools (models, trajectory generator and control law), use them and justify their choices in a certain context.

Some specific aspects related to robotics in interaction and collaboration with human will be addressed as well.

4 

Advanced virtual environments

The aim of this course is to present the basic concepts of Virtual Reality (such as hardware interfaces, software functionalities or development environments), as well as some recent scientific and applicative advances of Virtual Reality in the framework of industry 4.0, and digital twins. 

 

4

Advanced Additive manufacturing

The aim is to provide technical bases on 3D printing, current and futures technologies, to analyze in depth 3D metal printing (technical limitations, detailed costs, defects causes/solutions), to explore the topological design methods and the process simulation/monitoring,  with professors and 3 industrial partners, and ending with an application project.

 

4

Advanced Industrial Distributed and Embedded Systems

The aim of this course is to present and manipulate processors (e.g. FPGA, micro-controller, Arduino, ESP) in charge of treating information coming from sensors (including lighting systems, signal and image) using a wireless interface (e.g. BLE, WIFI) as well as enabling the control of distributed intelligent systems through actuators or effectors.

4

ACADEMIC SEMESTER 2 INTERNSHIP

Research internship

This internship is intended to allow students applying a scientific approach and project management methodologies for an academic or industrial research project.

 

Examples of application domains :

 

Industry 4.0, Smart Manufacturing,  Autonomous Vehicles, Smart Building, Smart Enterprises including Business Intelligence and Business Analytics (Machine Learning)

30

* ECTS: European Credit Transfer and Accumulation System

 

 

Admission

Access condition

Academic requirements

This second year of the Master degree is open to students after completion of the first year of a Master's degree or Diploma equal to bac+4 from a European university (minimum of 240 ECTS credits) in Engineering,Science or Equivalent ( Bachelor of Engineering, Bachelor of Science or Equivalent).

Admission requirements

Applicants must be fluent in English, both in writing and speaking. An applicant whose native language is not English has to take a recognized international English test.

English Language Requirements

Minimum required score: CECRL B2 level in English

Inscription modalities

Expenses

Regarding national administrative university enrollment fees: the French Ministerial Order of April 19, 2019, amended on June 9, 2020, sets the annual tuition for extra-European students enrolling in a Master program at €3770.

For the academic year 2021-2022, conditions and procedures for requesting partial reduction of these fees will be updated in February 2021, once the newly elected board and councils of the UPPA is in place and deliberates about this question.

Candidates who have taken a break of more than two years from their studies are not subject to paying the CVEC, however they need to contact the UPPA’s Continuing Education service (formation continue) in order to request a personalized quote regarding their tuition. 

And after

Further studies

Sectors:
  • Computer Science, Information Technologies, Systems Engineering, Digital Mentor, Collaborative Robots Expert, IT/OT Integration Manager, Industrial Big Data Scientist, Lean 4.0 Engineer
Fields:
  • Industry, Research and R&D structures
Positions:
  • PhD student and R&D Engineer

Contact(s)

Person in charge

Exposito Garcia Ernesto

Email : ernesto.exposito-garcia @ univ-pau.fr

More info

Type of education

  • Foreign students
  • Ongoing training
  • Work-study training
  • Initial training

Internship Mandatory (5-6 months)

Internship abroad Optional

Registration
From November 10, 2020 to April 19, 2021

Teaching start
September 1, 2021

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