E2S UPPA Talents Academy Grants:
This scholarship program of excellence is aimed at outstanding students coming primarily from Europe and America.
Further information will be provided during the application procedure.
Master’s degree in Computer Sciences: Industry 4.0
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 and cognitive computing, 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 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 in research or R&D organizations.
The master is fully taught in English providing a main core curriculum and two options named IT Digital Transformation and Digital Manufacturing.
This master 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 profit 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.
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.
Student Learning Outcomes
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 and at identifying and solving scientific and technological challenges in the context of Industry 4.0.
Prospects for employment or further study
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.
Program intensity: Full-time
Duration: 1 year
Languages: Fully taught in English
On-Campus at STEE College and LIUPPA Laboratory (Anglet) for the IT Digital Transformation option.
On-Campus at ENIT and LGP Laboratory (Tarbes) for digital Manufacturing option.
Online program based on online training (tutored and self-paced sessions) and individual and collective virtual learning environments.
EIFFEL Scholarship of Excellence
Region Aquitaine Scholarships for non-EU students
E2S Talents’ Academy Scholarships for all students
Specific Master's scholarship
Academic Semester 1 - Core Curriculum
Industry 4.0 cyber-physical Systems Engineering and Innovation
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.
This course also aims to provide an overview and raise awareness on topical issues in innovation management. It deals with issues such as Entrepreneurship, management 4.0, PSS, Quality, Sustainability, Predictive maintenance, Lean 4.0, Security, confidentiality, QoS, ethics.
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.
This course aims at providing students with scientific methodologies and project management competencies for developing a real industrial and/or research-oriented project.
French as a Foreign Language and English
This course aims at acquiring competencies in both written and oral communication in French or English.
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 to understand and to apply service-oriented and micro-services-oriented approaches for designing and developing heterogeneous systems and systems 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 competencies in order to design and develop scalable, secure, and cost-efficient infrastructures, platforms, and software as a service for digital organizations.
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.
Semantic Web, Advanced Databases, and Open Linked Data
This course aims at providing students with basic skills for designing and developing structured and unstructured advanced databases in order to cope with the heterogeneous data plane dimensions required by the generations of information systems.
Digital Manufacturing option (ENIT Tarbes Campus)
At the end of this course, the student should 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 certain 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.
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.
Advanced Industrial Distributed and Embedded Systems
The aim of this course is to present and manipulate processors (e.g. FPGA, microcontroller, Arduino, ESP) in charge of treating information coming from sensors (including lighting systems, signal, and image) using a wireless interface (e.g. BLE, WIFI) as well as enabling the control of distributed intelligent systems through actuators or effectors.
Academic Semester 2 - 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).
* ECTS: European Credit Transfer and Accumulation System
This 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 ( Bachelor of Engineering, Bachelor of Science or Equivalent).
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