M2 Parcours Industry 4.0

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UFR Sciences et techniques de la Côte Basque

M2 Parcours Industry 4.0

Présentation

Présentation

Applications are opened from September 2017 until July 2018 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.

Objectifs

  • 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 :

http://ri.univ-pau.fr/_resources/Documents/Venir%2520%25C3%25A0%2520l%2527universit%25C3%25A9/Mobilit%25C3%25A9%2520sur%2520programme/142471_Guide_International.pdf?download=true

EU students

http://ri.univ-pau.fr/en/studying-at-uppa/outside-exchange-programmes/individual-european-students.html

Pre-enrolment procedures for Non-EU students

http://ri.univ-pau.fr/en/studying-at-uppa/outside-exchange-programmes/non-eu-students.html

Scholarships

http://ri.univ-pau.fr/en/studying-at-uppa/scholarships.html

Visa & resident permit

http://ri.univ-pau.fr/en/studying-at-uppa/practical-information/visa-resident-permit.html

Transports

http://ri.univ-pau.fr/en/studying-at-uppa/practical-information/transport.html

Accomodation and catering

http://ri.univ-pau.fr/en/studying-at-uppa/practical-information/accomodation-catering.html

Banking

http://ri.univ-pau.fr/en/studying-at-uppa/practical-information/banking.html

Insurance

http://ri.univ-pau.fr/en/studying-at-uppa/practical-information/insurance.html

Helping you settle in

http://ri.univ-pau.fr/en/studying-at-uppa/helping-you-settle-in.html

Learning french

http://ri.univ-pau.fr/en/studying-at-uppa/helping-you-settle-in/learning-french.html

French lessons (free) for foreign students

http://ri.univ-pau.fr/en/studying-at-uppa/helping-you-settle-in/french-lessons-free-for-foreign-students.html

Conversation workshops (free)

http://ri.univ-pau.fr/en/studying-at-uppa/helping-you-settle-in/conversation-workshops-free.html

Intensive French lessons (fee charged)

http://ri.univ-pau.fr/en/studying-at-uppa/helping-you-settle-in/intensive-french-lessons-fee-charged.html

Culture and discovery

http://ri.univ-pau.fr/en/studying-at-uppa/culture-and-discovery.html

Programme

Contenu de la formation

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. 

40h

 

4 ECTS

  • 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.

40h

 

4 ECTS

  • 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.

40h

 

4 ECTS

  • 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.

40h

 

4 ECTS

  • 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.

40h

 

4 ECTS

  • 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.

40h

 

4 ECTS

  • 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

30h

 

3 ECTS

  • French as a Foreign Language, English

 

30h

 

3ECTS

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

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)

 

 

Admission

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

Sectors:

Computer Science, Information Technologies, Systems Engineering.

Fields:

Research and R&D structures

Positions:

PhD student and R&D Engineer

Contact(s)

Composante

Lieu(x) de la formation

  • Anglet

Responsable(s)

Exposito Garcia Ernesto

UFR Sciences et Techniques Côte Basque
1 Allée du Parc Montaury
64600 ANGLET
Tél : +33 559574410

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

Plus d'infos

Crédits ECTS 60

Public concerné

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

Effectif 20

Stage Obligatoire (5-6 months)

Stage à l'étranger Facultatif

Début de la formation
3 septembre 2018

En savoir plus

More information

Laboratoire(s) partenaire(s)