Université de Pau et des Pays de l'Adour
Master in Computer Sciences (Industry 4.0)DURATION
1 up to 1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 253 / per year *
STUDY FORMAT
On-Campus
* for extra-European students: €3770/year. For academic year 2022-2023, UPPA will automatically provide partial reduction of these fees to extra-EU nationals; as a result, they will pay the same enrolment fees as European nationals. For detailed inform
Key Summary
Introduction
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.
Admissions
Curriculum
| 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. | 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:
| 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 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 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 |
| 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. | 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 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 |
Program Outcome
- 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.
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.
Scholarships and Funding
- Region Aquitaine Scholarships for non-EU students
- EIFFEL Scholarship of Excellence
- Specific Master's scholarship
The International Master Programs Admission Office
Gallery
Career Opportunities
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