M2 Parcours Industry 4.0

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M2 Parcours Industry 4.0



Applications are opened from December 2018 until April 2019 through the website here

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 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.


  • 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.

Savoir-faire et compétences

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.

Informations supplémentaires

International student guide :


EU students


Pre-enrolment procedures for Non-EU students




Visa & resident permit




Accomodation and catering






Helping you settle in


Learning french


French lessons (free) for foreign students


Conversation workshops (free)


Intensive French lessons (fee charged)


Culture and discovery





Contenu de la formation

Master 2

Computer Sciences: Industry 4.0

Academic Semester

Course Title

Course Description


  • 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. 




  • 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.




  • 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.




  • 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.




  • 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.




  • 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.




  • 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




  • French as a Foreign Language, English






  • 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)


Aménagements particuliers

  • Starting in: Applications are opened from September 2017 until July 2018
  • Program intensity: Full-time
  • Duration: 1 year
  • Languages: Fully taught in English
  • Delivery mode:  On Campus at both STEE College and LIUPPA Laboratory (Anglet)




Condition d'accès

English Language Requirements

Minimum required score: CECRL B2 level in English

Academic requirements

Applicants must hold a 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.

Et après

Poursuite d'études


Computer Science, Information Technologies, Systems Engineering.


Research and R&D structures


PhD student and R&D Engineer




COLLEGE STEE - Sciences Anglet
- 1 Allée du Parc Montaury
64600 ANGLET

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

Contact(s) administratif(s)

Scolarité Masters - DU Anglet

1, allée du parc de Montaury
- Bâtiment 1 - 1er étage
64600 Anglet
Tél : 05 59 57 44 01

Email : scolarite.sciences-anglet @ univ-pau.fr

Plus d'infos

Public concerné

  • Etudiants étrangers
  • Formation continue
  • Formation en alternance
  • Formation initiale

Stage Obligatoire (5-6 months)

Stage à l'étranger Facultatif

Début de la formation
9 septembre 2019

En savoir plus

Laboratoire(s) partenaire(s)

A télécharger

calendrier 2019-2020 (185 Ko)