3A Expertise - "Science and Technology for Digital Transformation" Course

Engineering students study industrial management

Fundamentals and applications combined in the teaching chair SOPRA STERIA NEXT on the digital revolution: the company and its ecosystem facing technological development.

General engineer, student curriculum, third-year expertise inScience and Technology for Digital Transformation.

Campus

Arts et Métiers Campus Arts et Métiers Paris

 

Background

Digital technology and globalization are transforming businesses. Everything is being called into question: strategies, management, organizations, ways of designing, manufacturing, and selling products or services, information and communication systems, and more. This context of the preeminence of the intangible, due to the rise of digital technologies, and of expanded competition is forcing companies to increase their agility and speed and to constantly adapt. They can only succeed in these transformations by opening up to their customers, their employees, their ecosystems, and innovation.

The digital revolution is a major upheaval for individuals, businesses, and society as a whole: nothing and no one is immune to it. It must be taken into account in university education, particularly for the engineers of tomorrow.

In the field of engineering, the challenge is enormous. Digital technology is revolutionizing technical activities, some of which are highly specialized, in areas such as materials, transformation processes, structures, systems, systems of systems, etc.

But digital technology is also revolutionizing management and working methods. It is transforming product sales into service sales. It focuses on usage. For example, equipment manufacturers no longer sell landing gear, but a number of successful landings.

Tomorrow, in order to lead and make decisions, engineers—our engineers—will need to understand all aspects of the digital revolution.

And they will have to reconcile deterministic, well-founded models applied to measurable, repeatable, and controllable realities with practices derived from agile methods (test and learn, minimum viable product, short iterations, etc.) in order to cope with an environment that has become volatile, uncertain, complex, and ambiguous.

The program we offer aims to prepare students, future technicians, and managers for the technological, human, organizational, and societal challenges of digital transformation.

Program

Module 1: The Digital Factory (40%)

  • Data types: continuous, discrete, categorical, qualitative, etc.;
  • Cleaning, repair, storage, protection, etc.
  • Visualization
  • Modeling (Machine Learning): regressions, neural networks, etc.
  • Knowledge extraction
  • Explainability, certification, risk, uncertainty, etc.
  • Ethical and legal aspects, acceptability
  • Verification and validation
  • Data, information, and knowledge
  • Hardware and Software: edge, cloud, embedded systems, quantum computing, etc.
  • Virtual, augmented, and hybrid reality, collaborative platforms, etc.

External contributors: Thales, Naval Group, Dassault, EDF, Renault, PSA, Safran, Michelin, Airbus, ESI, etc.

Module 2: Digital Technology and Operational Excellence (30%)

  • Intelligent automation: IoT, Blockchain, AI, Digital Twin
  • AI in and for digital transformation
  • Component, system, system of systems, complexity, etc.
  • From product lifecycle management to performance management
  • End-to-end alignment of the value chain
  • Augmented employee
  • Lean Six Sigma, Business Process Management (BPM), Robotic Process Automation (RPA)
  • Management of innovative ecosystems

External contributors: IBM, Total, Hutchinson, Thales, ESI, etc.

Module 3: Skills and people at the heart of digital transformation (15%)

  • Agility, Squad, Guilds
  • Multi-Functional Team (MFT)
  • Collaborative platforms
  • New Way of Working
  • Co-development
  • Design thinking
  • Fab Lab
  • Digital Workplace
  • Culture of boldness

Module 4: Information Systems (15%)

  • Governance models
  • Partner and Start-up Management
  • Cybersecurity
  • Interoperability
  • Open data, Open API
  • Open source
  • Hackathons, Open innovation

In-depth project 

Application and consolidation of knowledge acquired through participation in industrial projects, carried out in groups (4-6 students) on a given theme, with the support of Sopra Steria Next.

Assessment methods

  • Grade per module: midterm tests, personal assignments, lab grades, and final exam.
  • Final grade: weighted average of each module.

Key scientific and educational leaders

  • N. Hascoët - Manager
  • F. Chinesta

Practical information

  • Level: Graduate
  • Course Language: French
  • Period: First semester
  • Number of hours: 150 hours
  • ECTS credits: 13

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