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Bachelor's degree in Digital Engineering

New digital technologies for the industry of the future

The energy transition and digital transformation are strategic challenges that companies must meet.

At the heart of the digital revolution, industry is reinventing itself around the Internet of Things (IoT), augmented reality, artificial intelligence, cybersecurity...

The Bachelor's degree in Digital Engineering focuses on innovation and technological development.

It aims to train tomorrow's players and support companies in their 4.0 transformations.

The Bachelor's objectives

  • Train future professionals capable of modernizing production tools in the industry of the future 
  • Train specialists in digital technologies.
Programme détaillé

Detailed program of the Bachelor in Digital Engineering (2023-2024)

Semester 3

Program

  • Mathematical tools and Software
  • Applied physics
  • Applied electronics

Objectives 

On completion of these courses, students will be able to:

  • Master concepts in applied mathematics such as matrix calculus, determinants and matrix inversion techniques.
  • Solve problems in classical mechanics and thermodynamics.
  • Study components such as diodes, operational amplifiers and transistors, as well as their operation and use in specific assemblies.
  • Work in teams and communicate effectively on scientific and mathematical concepts.

Target skills

  • Apply mathematics, basic engineering disciplines, statistics, electronics, electrical engineering, electricity, mechanics, automation and digital technologies to a level sufficient to achieve other learning outcomes
  • Analyze and select appropriate technologies as part of the implementation of digital transformation projects towards Industry 4.0 in order to interconnect IT tools, production tools and people to collect and share data in real time
  • Consult and critically use scientific and technical databases and standards repositories to assess the state of the art in industrial Internet of Things (IoT), artificial intelligence (AI), cloud computing, advanced robotics and cybersecurity, and then carry out simulations, mock-ups and analyses to deepen studies. 
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Be enterprising and innovative, either through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the industry.
  • Develop a technology watch attitude and engage in lifelong learning to keep abreast of developments and adapt Industry 4.0 technologies and procedures accordingly

 

Program

  • Information Systems
  • Introduction to HMI (human-machine interface)
  • Linux administration

Objectives 

On completion of these courses, students will be able to:

  • Understand the fundamental concepts of enterprise systems and ERP.
  • Model processes, design and evaluate GUIs.
  • Perform critical analysis and problem solving to evaluate software interfaces,
    website interface.
  • Master Linux operating systems and network services.
  • Install, configure and secure various services on a GNU/Linux server.
  • Work in a team and communicate effectively on digital systems.

Target skills

  • Apply mathematics, basic engineering disciplines, statistics, electronics, electrical engineering, electricity, mechanics, automation and digital technologies to a level sufficient to achieve other learning outcomes
  • Analyze and select appropriate technologies as part of the implementation of digital transformation projects towards Industry 4.0 in order to interconnect IT tools, production tools and people to collect and share data in real time
  • Design and develop digital transformation solutions to improve the performance and efficiency of the production chain, while respecting the constraints imposed, selecting and applying the appropriate design methodologies and taking into account non-technical aspects (societal, health and safety, environmental, economic and industrial). 
  • Consult and critically use scientific and technical databases and standards repositories to assess the state of the art in industrial Internet of Things (IoT), artificial intelligence (AI), cloud computing, advanced robotics and cybersecurity, and then carry out simulations, mock-ups and analyses to deepen studies.
  • Identify the non-technical aspects (human, societal, health, safety, regulatory, environmental, economic and industrial) of implementing a project to integrate digital transformation solutions.
  • Gain awareness of the ethical, environmental, economic, organizational and management perspectives (project management, risk and change management, team and stakeholder management...) in the digital transformation of companies towards Industry 4.0 
  • Gather, analyze and interpret relevant data from the industrial information system to inform decisions and developments requiring reflection on important technical, social and ethical issues.
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Be enterprising and innovative, either through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the industry.
  • Develop a technology watch attitude and engage in lifelong learning to keep up to date with developments and adapt Industry 4.0 technologies and procedures accordingly

 

Program 

  • Systems supervision
  • Numerically controlled machine tools
  • Industrial control
  • Remote monitoring systems

Objectives 

On completion of these courses, students will be able to:

  • Install, configure and maintain supervision systems.
  • Develop plug-ins to extend the functionalities of supervision systems.
  • Understand how to implement supervision in a diverse environment.
  • Correctly interpret technical drawings (blueprints, schematics, etc.) to understand the
    workpiece specifications.
  • Use ISO code correctly.
  • Master machining operations.
  • Master control and numerical control concepts.
  • Ensure proactive maintenance of industrial equipment
  • Communicate effectively and collaborate with other students during practical work to common objectives
  • Identify problems, analyze situations and find effective solutions.

Target skills

  • Apply mathematics, basic engineering disciplines, statistics, electronics, electrical engineering, electricity, mechanics, automation and digital technologies to a level sufficient to achieve other learning outcomes
  • Analyze and select appropriate technologies as part of the implementation of digital transformation projects towards Industry 4.0 in order to interconnect IT tools, production tools and people to collect and share data in real time
  • Design and develop digital transformation solutions to improve the performance and efficiency of the production chain, while respecting the constraints imposed, selecting and applying the appropriate design methodologies and taking into account non-technical aspects (societal, health and safety, environmental, economic and industrial).
  • Design and conduct experimental studies on automated monitoring and diagnostics for Industry 4.0, interpret data and draw conclusions to ensure preventive and corrective maintenance of systems.
  • Diagnose problems using supervision tools (feedback from performance parameters, sensors, actuators, etc.), develop solutions to maintain the operational performance of the production tool.
  • Gather, analyze and interpret relevant data from the industrial information system to inform decisions and developments requiring reflection on important technical, social and ethical issues.
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Develop a technology watch attitude and engage in lifelong learning to keep up to date with developments and adapt Industry 4.0 technologies and procedures accordingly

Program 

  • Relational databases
  • Data analysis and modeling
  • Business Intelligence

Objectives 

On completion of these courses, students will be able to:

  • Create, query and manage relational databases to store and retrieve relevant
    relevant information.
  • Understand the ETL (Extract, Transform, Load) process used to extract, transform and load data from a source to a destination (for example, from an operational database to a data warehouse).
  • Transform, cleanse and validate data to ensure consistency and standardization.
    standardized.
  • Use data visualization tools to explore and understand data.
  • Create graphs, charts and tables to identify trends, anomalies and relationships in data.
  • Identify the most relevant metrics for a given situation.
  • Use tools such as Tableau, Power BI or Excel to synthesize data and provide an intuitive overview of performance.
  • Understand the basic concepts behind machine learning, such as regression, classification, etc.
  • Be aware of the challenges associated with machine learning, such as overlearning, data quality and algorithmic biases.
  • Consider the ethical and legal implications when using machine learning data and models in a professional context.
  • Communicate effectively and collaborate with other students in practical work and projects to achieve common goals.
  • Identify problems, analyze situations and find effective solutions.
  • Communicate effectively, collaborate with other students in practical work and projects to achieve common goals.

Compétences visées 

  • Appliquer les notions de mathématiques, des disciplines de base de l'ingénierie, des statistiques, de l’électronique, de l’électrotechnique, de l’électricité, de la mécanique, de l’automatique et des technologies numériques à un niveau suffisant pour atteindre les autres acquis de formation
  • Analyser et sélectionner les technologies appropriées dans le cadre de la mise en œuvre de projet de transformation numérique vers l'industrie 4.0 afin d’interconnecter les outils informatiques, les outils de production et les personnes pour collecter et partager les données en temps réel 
  • Concevoir et développer des solutions de transformation digitale pour améliorer la performance et l’efficacité de la chaine de production en respectant les contraintes imposées, en sélectionnant et appliquant les méthodologies de conception appropriées et en tenant compte des aspects non techniques (sociétaux, d’hygiène et de sécurité, environnementaux, économiques et industriels) 
  • Consulter et utiliser avec un œil critique des bases de données scientifiques, techniques et des référentiels normatifs pour faire un état de l’art sur l'Internet des objets industriel (IoT), l'intelligence artificielle (IA), le cloud computing, la robotique avancée et la cybersécurité, puis, réaliser des simulations, maquettes et analyses afin d’approfondir les études 
  • Concevoir et mener des études expérimentales sur la surveillance et le diagnostic automatisé pour l’industrie 4.0, interpréter les données et tirer des conclusions pour assurer la maintenance préventive et corrective des systèmes 
  • Prendre conscience des perspectives éthiques, environnementales, économiques, organisationnelles et gestion (gestion de projet, gestion des risques et du changement, gestion des équipes et des parties prenantes...) dans la transformation numérique des entreprises vers l’industrie 4.0 
  • Recueillir, analyser et interpréter des données pertinentes du système d’information industriel pour éclairer les décisions et les évolutions nécessitant une réflexion sur des problèmes techniques, sociaux et éthiques importants 
  • Communiquer des informations, idées, problèmes et solutions de manière efficace avec la communauté professionnelle et la société en général
  • Travailler efficacement dans un contexte national et international, en autonomie et en équipe ; collaborer de manière efficace avec les autres et gérer les activités ou projets complexes dans la mise en œuvre de solutions de transformation digitale, en assumant la responsabilité de ses décisions 
  • Entreprendre et innover, dans le cadre de projets personnels ou par l’initiative et l’implication au sein de l’industrie dans des projets entrepreneuriaux
  • Développer une attitude de veille technologique et s'engager dans un apprentissage tout au long de la vie pour être à jour sur les évolutions et adapter les technologies et procédures de l’industrie 4.0 en conséquence

 

Program 

  • English
  • Interpersonal communication
  • Self-assertion
  • Professional writing
  • Job preparation
  • Occupational health and safety (OHS)

Objectives 

On completion of these courses, students will be able to:

  • Communicate in writing and orally to convey information clearly and effectively.
  • Integrate the concept of interpersonal communication.
  • Identify judgments, feelings and needs.
  • Formulate an open request and accept a refusal.
  • Develop and write professional documents (summaries, notes, reports).
  • Master oral and written note-taking techniques.
  • Produce summaries from oral presentations or written documents.
  • Develop a PowerPoint presentation without its technical dimension and base your presentation on its use.
  • Integrate well into a company.
  • Know how to talk about pre-employment.
  • Know how to read an employment contract and negotiate it.
  • Understand the social and human issues associated with risk management in the workplace.
  • Identify potential risks to the company and learn how to assess them.
  • Examine the role and responsibilities of managers in risk prevention.
  • Recognize the power and responsibility of employees as actors in their own occupational health and safety.
  • Understand isolated sentences and frequently used expressions in English.
  • Exchange simple information and ask basic questions in English.
  • Achieve a minimum TOEIC score of 450 points.

Target skills

  • Identify the non-technical aspects (human, societal, health, safety, regulatory, environmental, economic and industrial) of implementing a project to integrate digital transformation solutions.
  • Be aware of the ethical, environmental, economic, organizational and management perspectives (project management, risk and change management, team and stakeholder management...) in the digital transformation of companies towards Industry 4.0
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions 
  • Undertake and innovate, through personal projects or through initiative and involvement in entrepreneurial projects within the industry.
  • Develop an attitude of technological watch and engage in lifelong learning to keep abreast of developments and adapt Industry 4.0 technologies and procedures accordingly

 

Semester 4

Program

  • Industrial process optimization
  • Lean management
  • Lean manufacturing diagnostic tools

Objectives 

On completion of these courses, students will be able to:

  • Understand the technologies of the industry of the future linked to continuous improvement.
  • Understand the main concepts and practices of Lean management.
  • Implement continuous improvement techniques such as Lean management.
  • Map and analyze processes to identify improvement opportunities.
  • Manage and deploy key continuous improvement tools.
  • Work in a team, communicate effectively and solve problems methodically.

Target skills

  • Apply mathematics, basic engineering disciplines, statistics, electronics, electrical engineering, electricity, mechanics, automation and digital technologies to a level sufficient to achieve other learning outcomes
  • Analyze and select appropriate technologies as part of the implementation of digital transformation projects towards Industry 4.0 in order to interconnect IT tools, production tools and people to collect and share data in real time
  • Design and develop digital transformation solutions to improve the performance and efficiency of the production chain, while respecting the constraints imposed, selecting and applying the appropriate design methodologies and taking into account non-technical aspects (societal, health and safety, environmental, economic and industrial). 
  • Identify the non-technical aspects (human, societal, health, safety, regulatory, environmental, economic and industrial) of implementing a project to integrate digital transformation solutions.
  • Be aware of the ethical, environmental, economic, organizational and management perspectives (project management, risk and change management, team and stakeholder management...) in the digital transformation of companies towards Industry 4.0
  • Consult, apply and enforce standards, codes of practice, security regulations and cybersecurity fundamentals for Industry 4.0 
  • Gather, analyze and interpret relevant data from the industrial information system to inform decisions and developments requiring reflection on important technical, social and ethical issues.
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Be enterprising and innovative, either through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the industry.
  • Develop a technology watch attitude and engage in lifelong learning to keep up to date with developments and adapt Industry 4.0 technologies and procedures accordingly

Program

  • Local area networks and security
  • Communicating sensors
  • Information systems security

Objectives 

On completion of this course, students will be able to:

  • Implement network isolation using VLANs (Virtual Local Area Networks).
  • Install, configure and maintain basic security tools such as firewalls and antimalware.
  • Recognize and classify information according to its nature (confidential, public, etc.).
  • Implement prevention and detection measures to counter internal and external attack vectors.
  • Know the laws and regulations governing the security of information systems and the
    protection of personal data.
  • Understand basic attack mechanisms (denial of service, phishing, etc.).
  • Implement effective intrusion detection (IDS) and intrusion prevention (IPS) solutions.
  • Understand the main principles of information security (authentication, confidentiality, integrity, availability, non-repudiation).
  • Know the different security architectures (e.g. DMZ, micro-segmentation, etc.).
  • Know and understand the main types of security solutions and how they fit into a security architecture.
  • Set up embedded systems to collect and display data.
  • Raise awareness and train teams in cybersecurity issues and best practices.
  • Work in groups, communicate clearly with colleagues, collaborate and solve problems together.

Target skills

  • Apply mathematics, basic engineering disciplines, statistics, electronics, electrical engineering, electricity, mechanics, automation and digital technologies to a level sufficient to achieve other learning outcomes
  • Analyze and select appropriate technologies as part of the implementation of digital transformation projects towards Industry 4.0 in order to interconnect IT tools, production tools and people to collect and share data in real time
  • Design and develop digital transformation solutions to improve the performance and efficiency of the production chain, while respecting the constraints imposed, selecting and applying the appropriate design methodologies and taking into account non-technical aspects (societal, health and safety, environmental, economic and industrial).
  • Consult and critically use scientific and technical databases and standards repositories to assess the state of the art in industrial Internet of Things (IoT), artificial intelligence (AI), cloud computing, advanced robotics and cybersecurity, and then carry out simulations, mock-ups and analyses to deepen studies.
  • Design and conduct experimental studies on automated monitoring and diagnostics for Industry 4.0, interpret data and draw conclusions for preventive and corrective system maintenance
  • Diagnose problems using supervision tools (feedback from performance parameters, sensors, actuators, etc.), develop solutions to maintain the operational performance of the production tool. 
  • Identify the non-technical aspects (human, societal, health, safety, regulatory, environmental, economic and industrial) of implementing a project to integrate digital transformation solutions.
  • Be aware of the ethical, environmental, economic, organizational and management perspectives (project management, risk and change management, team and stakeholder management...) in the digital transformation of companies towards Industry 4.0
  • Consult, apply and enforce standards, codes of practice, security regulations and cybersecurity fundamentals for Industry 4.0 
  • Gather, analyze and interpret relevant data from the industrial information system to inform decisions and developments requiring reflection on important technical, social and ethical issues.
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Be enterprising and innovative, either through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the industry.
  • Develop a technology watch attitude and engage in lifelong learning to keep up to date with developments and adapt Industry 4.0 technologies and procedures accordingly

 

Semester 5

Program 

  • Energy
  • Microprocessor
  • Communication bus

Objectives 

On completion of these courses, students will be able to:

  • Understand the fundamental principles of thermal machines and renewable energies.
  • Develop experimental skills for carrying out and analyzing energy
    tests.
  • Master the principles of serial and network communication, including asynchronous and synchronous
    synchronous links.
  • Program and interface microcontroller systems.
  • Analyze, interpret and communicate experimental data.
  • Work in groups, communicate clearly with colleagues, collaborate and solve problems together.

Target skills

  • Apply mathematics, basic engineering disciplines, statistics, electronics, electrical engineering, electricity, mechanics, automation and digital technologies to a level sufficient to achieve other learning outcomes
  • Analyze and select appropriate technologies as part of the implementation of digital transformation projects towards Industry 4.0 in order to interconnect IT tools, production tools and people to collect and share data in real time
  • Consult and critically use scientific and technical databases and standards repositories to assess the state of the art in industrial Internet of Things (IoT), artificial intelligence (AI), cloud computing, advanced robotics and cybersecurity, and then carry out simulations, mock-ups and analyses to deepen studies.
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Be enterprising and innovative, either through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the industry.
  • Develop a technology watch attitude and engage in lifelong learning to keep abreast of developments and adapt Industry 4.0 technologies and procedures accordingly

Program

  • Connected maintenance concepts
  • Software tools for connected maintenance
  • Project

Objectives 

On completion of these courses, students will be able to:

  • Understand the concept of Connected Maintenance, its importance in relation to process indicators and its implications for industrial operations.
  • Know how Connected Maintenance can improve equipment availability, anticipate breakdowns, and optimize production processes through data collection and analysis.
  • Understand the sensors, monitoring systems, IoT gateways and databases used to collect and store maintenance data.
  • Know how to plan, deploy and manage Connected Maintenance in a company.
  • Implement tools such as maintenance management systems (CMMS), tracking dashboards, and user interfaces to display relevant indicators.
  • Work in groups, collaborate, manage priorities and solve maintenance-related problems.
  • Communicate effectively with team members and other stakeholders, analyze problems related to connected maintenance and propose innovative solutions accordingly.

Target skills

  • Apply mathematics, basic engineering disciplines, statistics, electronics, electrical engineering, electricity, mechanics, automation and digital technologies to a level sufficient to achieve other learning outcomes
  • Analyze and select appropriate technologies as part of the implementation of digital transformation projects towards Industry 4.0 in order to interconnect IT tools, production tools and people to collect and share data in real time
  • Design and develop digital transformation solutions to improve the performance and efficiency of the production chain, while respecting the constraints imposed, selecting and applying the appropriate design methodologies and taking into account non-technical aspects (societal, health and safety, environmental, economic and industrial).
  • Design and conduct experimental studies on automated monitoring and diagnostics for Industry 4.0, interpret data and draw conclusions to ensure preventive and corrective maintenance of systems.
  • Diagnose problems using supervision tools (feedback from performance parameters, sensors, actuators, etc.), develop solutions to maintain the operational performance of the production tool.
  • Gather, analyze and interpret relevant data from the industrial information system to inform decisions and developments requiring reflection on important technical, social and ethical issues.
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Be enterprising and innovative, either through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the industry.
  • Develop a technology watch attitude and engage in lifelong learning to keep abreast of developments and adapt Industry 4.0 technologies and procedures accordingly

Program

  • Machine learning and programming
  • Data Science seminar
  • Project

Objectives

On completion of these courses, students will be able to:

  • Know how Machine Learning fits into the broader Big Data ecosystem.
  • Know the phases of collecting, cleansing, preparing, modeling, evaluating and deploying Machine Learning models.
  • Know how Machine Learning is applied in various fields, such as fault prediction, personalized recommendations, intrusion detection, etc.
  • Extracting relevant information from data, analyzing it and adding value to it in order to
    business growth.
  • Model and design basic machine learning algorithms for problem solving.
    problems.
  • Identify performance metrics, risks and opportunities to ensure project success.
  • Design resilient and scalable Big Data projects, from the choice of architecture (Hadoop, Spark, Cloud), databases (NoSQL, BigTable) to processing and visualization solutions.
  • Produce analyses and recommendations to optimize the supply chain, production, predictive maintenance, information system security, etc.
  • Work and communicate as part of a team, manage task sharing and create regular activity reports for the tutor.
  • Develop technical, scientific and written and oral communication skills.
  • Research and innovate in the field of Machine Learning and Big Data.

Target skills

  • Apply mathematics, basic engineering disciplines, statistics, electronics, electrical engineering, electricity, mechanics, automation and digital technologies to a level sufficient to achieve other learning outcomes
  • Analyze and select appropriate technologies as part of the implementation of digital transformation projects towards Industry 4.0 in order to interconnect IT tools, production tools and people to collect and share data in real time
  • Design and develop digital transformation solutions to improve the performance and efficiency of the production chain, while respecting the constraints imposed, selecting and applying the appropriate design methodologies and taking into account non-technical aspects (societal, health and safety, environmental, economic and industrial). 
  • Consult and critically use scientific and technical databases and standards repositories to assess the state of the art in industrial Internet of Things (IoT), artificial intelligence (AI), cloud computing, advanced robotics and cybersecurity, and then carry out simulations, mock-ups and analyses to deepen studies.
  • Design and conduct experimental studies on automated monitoring and diagnostics for Industry 4.0, interpret data and draw conclusions for preventive and corrective system maintenance
  • Become aware of the ethical, environmental, economic, organizational and management perspectives (project management, risk and change management, team and stakeholder management...) in the digital transformation of companies towards Industry 4.0
  • Gather, analyze and interpret relevant data from the industrial information system to inform decisions and developments requiring reflection on important technical, social and ethical issues
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Be enterprising and innovative, either through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the industry.
  • Develop a technology watch attitude and engage in lifelong learning to keep abreast of developments and adapt Industry 4.0 technologies and procedures accordingly

Program 

  • English
  • Project management
  • Innovation management

Objectives 

On completion of these courses, students will be able to:

  • Communicate in writing and orally to convey information clearly and effectively.
  • Use the main project management tools for 3ᵉ year projects.
  • Organize and plan project work.
  • Establish and adhere to a progress plan.
  • Test their credibility as project leaders.
  • Develop a business plan to transform an innovative idea into a start-up project.
  • Present and defend a start-up project in front of industrial and financial partners.
  • Understand more complex conversations and texts in English.
  • Follow news, films, etc. in English.
  • Express yourself fluently and precisely.
  • Enrich vocabulary with new words.
  • Achieve a minimum TOEIC score of 550 points.

Target skills

  • Identify the non-technical aspects (human, societal, health, safety, regulatory, environmental, economic and industrial) of implementing a project to integrate digital transformation solutions.
  • Be aware of the ethical, environmental, economic, organizational and management perspectives (project management, risk and change management, team and stakeholder management...) in the digital transformation of companies towards Industry 4.0
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Be enterprising and innovative, either through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the industry.
  • Develop a technology watch attitude and engage in lifelong learning to keep up to date with developments and adapt Industry 4.0 technologies and procedures accordingly

Semester 6

Program 

  • Quality improvement through process control
  • Lean 6 Sigma
  • Project

Objectives 

On completion of these courses, students will be able to:

  • Understand the principles and methodologies of quality management, including the concepts of total quality, Six Sigma and ISO 9001.
  • Understand the major steps involved in ISO certification of a company.
  • Define Quality Management System indicators to optimize the Quality process.
    Quality process.
  • Master continuous improvement tools and techniques such as Six Sigma's DMAIC (Define, Measure, Analyze, Innovate and Control) methodology.
  • Project management, problem-solving, teamwork, effective communication and
    and data-driven decision-making.
  • Engage in dynamic technology watch to overcome challenges and propose innovative project solutions.

Target skills

  • Apply mathematics, basic engineering disciplines, statistics, electronics, electrical engineering, electricity, mechanics, automation and digital technologies to a level sufficient to achieve other learning outcomes
  • Analyze and select appropriate technologies as part of the implementation of digital transformation projects towards Industry 4.0 in order to interconnect IT tools, production tools and people to collect and share data in real time
  • Design and develop digital transformation solutions to improve the performance and efficiency of the production chain, while respecting the constraints imposed, selecting and applying the appropriate design methodologies and taking into account non-technical aspects (societal, health and safety, environmental, economic and industrial).
  • Identify the non-technical aspects (human, societal, health and safety, regulatory, environmental, economic and industrial) of implementing a project to integrate digital transformation solutions
  • Be aware of the ethical, environmental, economic, organizational and management perspectives (project management, risk and change management, team and stakeholder management...) in the digital transformation of companies towards Industry 4.0
  • Consult, apply and enforce standards, codes of practice, security regulations and cybersecurity fundamentals for Industry 4.0
  • Gather, analyze and interpret relevant industrial information system data to inform decisions and developments requiring reflection on important technical, social and ethical issues
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Be enterprising and innovative, either through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the industry.
  • Develop a technology watch attitude and engage in lifelong learning to keep abreast of developments and adapt Industry 4.0 technologies and procedures accordingly

Program 

  • Industrial information systems security
  • Industrial IoT (Internet of Things) and Security
  • Project

Objectives 

On completion of these courses, students will be able to:

  • Understand the protocols, interfaces and data flows used in an industrial context.
  • Understand industry-specific regulations and standards.
  • Identify, assess and mitigate IT security risks specific to industrial
    environments.
  • Apply IS (information systems) security principles in an industrial context.
  • Analyze and solve problems related to the security of connected objects.
  • Implement robust security measures to protect SCADA systems, PLCs and industrial networks against cyberthreats.
  • Design IoT (Internet of Things) systems for industry with integrated security measures.
  • Implement secure data collection.
  • Simulate cyberattacks to gather additional data.
  • Use data to optimize the supply chain, predictive maintenance, etc.
  • Know how to use security management tools such as SIEM (Security Information and Event Management) and IDS/IPS (Intrusion Detection/Prevention Systems).
  • Be familiar with cybersecurity standards and best practices.
  • Produce reports and communicate on security management indicators.
  • Work and communicate in a team, manage task sharing and create regular activity reports for the tutor.
  • Develop technical, scientific and written and oral communication skills.
  • Conduct research and innovate in the field of industrial cybersecurity.

Target skills

  • Apply mathematics, basic engineering disciplines, statistics, electronics, electrical engineering, electricity, mechanics, automation and digital technologies to a level sufficient to achieve other learning outcomes
  • Analyze and select appropriate technologies as part of the implementation of digital transformation projects towards Industry 4.0 in order to interconnect IT tools, production tools and people to collect and share data in real time
  • Design and develop digital transformation solutions to improve the performance and efficiency of the production chain by respecting imposed constraints, selecting and applying appropriate design methodologies and taking into account non-technical aspects (societal, health and safety, environmental, economic and industrial).
  • Consult and critically use scientific and technical databases and standards repositories to assess the state of the art in industrial Internet of Things (IoT), artificial intelligence (AI), cloud computing, advanced robotics and cybersecurity, and then carry out simulations, mock-ups and analyses to deepen studies.
  • Design and conduct experimental studies on automated monitoring and diagnostics for Industry 4.0, interpret data and draw conclusions for preventive and corrective system maintenance
  • Diagnose problems using supervision tools (feedback from performance parameters, sensors, actuators, etc.), develop solutions to maintain the operational performance of the production tool.
  • Identify the non-technical aspects (human, societal, health, safety, regulatory, environmental, economic and industrial) of implementing a project to integrate digital transformation solutions.
  • Be aware of the ethical, environmental, economic, organizational and management perspectives (project management, risk and change management, team and stakeholder management...) in the digital transformation of companies towards Industry 4.0
  • Consult, apply and enforce standards, codes of practice, security regulations and cybersecurity fundamentals for Industry 4.0
  • Gather, analyze and interpret relevant industrial information system data to inform decisions and developments requiring reflection on important technical, social and ethical issues
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Be enterprising and innovative, either through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the industry.
  • Develop a technology watch attitude and engage in lifelong learning to keep abreast of developments and adapt Industry 4.0 technologies and procedures accordingly

Program 

  • English
  • Human resources management
  • Team management
  • State of the art and technology watch

Objectives 

On completion of these courses, students will be able to:

  • Communicate in writing and orally to convey information clearly and effectively.
  • Use HR tools to manage team performance.
  • Understand the regulatory framework.
  • Convey clear information and actively listen to team members to foster mutual understanding and effective collaboration.
  • Motivate, guide and inspire team members to achieve common goals.
  • Conduct literature searches and technology watch.
  • Critically analyze and synthesize information.
  • Combine scientific rigor, the virtue of doubt and the ability to question.
  • Conduct inductive reasoning and formulate innovative research hypotheses.
  • Understand more complex conversations and texts in English.
  • Follow a variety of subjects such as news, films, etc.
  • Express themselves more fluently and precisely.
  • Use a wider range of verb tenses (past simple, conditional, etc.).
  • Enrich vocabulary with more specific words.
  • Achieve a TOEIC score of 550 or more.

Target skills

  • Identify the non-technical aspects (human, societal, health, safety, regulatory, environmental, economic and industrial) of implementing a project to integrate digital transformation solutions.
  • Be aware of the ethical, environmental, economic, organizational and management perspectives (project management, risk and change management, team and stakeholder management...) in the digital transformation of companies towards Industry 4.0
  • Communicate information, ideas, problems and solutions effectively with the professional community and society at large
  • Work effectively in a national and international context, independently and as part of a team; collaborate effectively with others and manage complex activities or projects in the implementation of digital transformation solutions, taking responsibility for his/her decisions
  • Be enterprising and innovative, either through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the industry.
  • Develop a technology watch attitude and engage in lifelong learning to keep up to date with developments and adapt Industry 4.0 technologies and procedures accordingly

Career opportunities

Be a player in the industry of the future and in digital transformation, at the heart of the challenges facing companies in the future.

Some professions...

  • Industrial maintenance engineering
  • Digital transition manager
  • 4.0 project manager
  • Robotics project manager
  • Manufacturing Execution System Manager
  • Digital technologies in production manager
  • Information systems operations manager
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