M2 Industry 4.0

Science, Technology, Health

M2 Industry 4.0

  • ECTS

    60 credits

  • Duration

    1 year

  • Component

    Collège Sciences et Technologies pour l’Energie et l’Environnement (STEE)

  • Language(s)

    English

Presentation

Apply here from October to March

 

 

The aim of this master's is to train Computer Sciences and Information Technologies experts in order to be able to address the new challenges of the current and future generations of digital societies. Current trends in digital technologies represented by the Internet of things, cyber-physical systems, social networks, cloud computing, big data, business intelligence, machine-learning, artificial intelligence, 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's 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 research or R&D organizations.

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

This master's 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 profits from the territorial synergy of the Aerospace industry located in the southwest 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 organizations, 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 specialized 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 organizations in research and development departments.
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Your university

Pau

Tarbes

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Skills

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

  • Identify and analyze the functional and non-functional requirements of digital organizations (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 organizations.
  • 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, analyze, and interpret the body of scientific literature, contemporary issues, and innovations in 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 Industry 4.0.
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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 

This program is open to work-study and lifelong learners and can be followed under a dual-training scheme.

Scholarships

 

The International Master Programs Admission Office

master.programs @ univ-pau.fr

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Organisation

Master 2 Computer Sciences: Industry 4.0

Academic Semester 1

Core Curriculum

Course Title

Course Description

ECTS*

Industry 4.0 cyber-physical Systems Engineering & Innovation

This course is designed to allow learners to acquire theoretical and practical competencies to understand and to carry on requirements analysis and design of systems, integrating referential models of system engineering and methodologies well adapted for Cyber-Physical Systems of Industry 4.0.
The course will follow a project-based oriented teaching methodology.

4

Business Intelligence and Business Analytics

This course aims at providing students with the foundations and developing competencies 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 is designed to provide students with theoretical and practical skills to carry out a research project and in particular to understand and be able to accomplish:

 

  • Analysis of a context and formulation of a problem
  • Study and analysis of the state-of-the-art and existing solutions
  • Propose solutions and/or recommendations,
  • Research articles production and evaluation.

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 methods for designing and developing heterogeneous systems and systems of systems. Integration and interoperability solutions will be studied and applied.

4

Cloud Computing Services and Technologies I

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 service for digital organisations. This course is about virtualization and Dock containers.

2

Cloud Computing Services and Technologies II

The aim of this course is to provide students with the knowledge and competencies in order to design and develop scalable, secure, and cost-efficient infrastructures, platforms, and software as a service for digital organizations. This course is about designing at the infrastructure, middleware, and software levels.

2

Internet of Things

  • The aim of this course is to provide students with the knowledge and competencies in order to design and develop Smart IoT systems based on the integration and orchestration of sensors and effectors objects of cyber-physical systems such as :
  • Explain how businesses can extract information and insights from IoT Data.
  • Understand the steps of the Data Analysis Lifecycle and perform these tasks.
  • Explain the different types of data analytics: descriptive, predictive, and prescriptive.

4

Semantic Web, Advanced Databases, and Open Linked Data

This course aims to provide students with basic skills for designing and developing structured and unstructured advanced databases to cope with the heterogeneous data plane 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 be 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 specific context.

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

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 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, signals, and images) 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 to apply 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

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Open to apprenticeship

This course is open for apprenticeship: instructions for use

Trainings

Intership

Mandatory

Intership duration

5-6 months

Abroad intership

Optional

Program

Admission

Admission requirements

Academic requirements

This second year of the Master's 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.

This program is open to work-study and lifelong learners.and can be followed under a dual train-scheme.

English Language Requirements

Minimum required score: CECRL B2 level in English

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Tuition Fees and partial exemptions

Administrative tuition in France is determined at a national level. The French Ministerial Order of April 19, 2019, amended on June 9, 2020, sets university tuition for a Master's Program as follows: European nationals: €243, extra-European nationals: €3770.

For the academic year 2022-2023, the Board of Directors has extended its policy of automatically providing a partial reduction of these fees at the UPPA. As a result, extra-European nationals will be granted automatic partial reductions such that they will be able to pay the same enrollment fees as European nationals.

Extra fees: 

In addition to academic tuition, most students must pay a student body fee (CVEC, which cost €92 in 2020-2021). 

NB: Admitted candidates in any course of study who have taken a break of more than two years from their studies will enroll via the UPPA’s Continuing Education service (Formation Continue / FORCO). They are exempt from the CVEC, however, they may be subject to a different tuition scale.

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Student capacity

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

  • Ph.D. student and R&D Engineer
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By Collège Sciences et Technologies pour l’Energie et l’Environnement (STEE)

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