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 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 organisations based on the new Internet of Everything (IoE) 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 and is hosted at 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).

The STEE College has been founded in the framework of the prestigious French Initiative of Excellence label I-SITE (Initiatives Sciences, Innovation, Territories and Economy), obtained by our E2S-UPPA project.

The program is carried out in close collaboration with the LIUPPA research laboratory and 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 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 Sciences 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 and Cloud Computing infrastructures) aimed at satisfying the digital organisation requirements.
  • 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 and at identifying and solving scientific and technological challenges in 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 both STEE College and LIUPPA Laboratory (Anglet)
Scholarships
International Welcome Desk

Students

20

Organisation

Training content

Master 2

Computer Sciences: Industry 4.0

Academic Semester

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. 

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

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

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

 

 

3

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

Admission

Access condition

Academic requirements

The 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.

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

Expenses

Concerning the registration fees, the ministerial decree of 19 April 2019 sets the annual amount for non-European students enrolling in a Master's degree at €3770.
However, each French higher education institution has the possibility to partially exempt its students from these tuition fees.

For the year 2020-2021, the UPPA will apply this partial exemption to all non-EU students. Students benefiting from this partial exemption will pay an annual registration fee of 243 euros (2020_2021 price list as an indication)

And after

Further studies

Sectors:
  • Computer Science, Information Technologies, Systems Engineering.
Fields:
  • 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 October 26, 2020 to April 19, 2021

Teaching start
September 1, 2021

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