Elective courses

The common core provides you with the scientific foundations you need for your subject and integration electives.

You can personalise your training by choosing most of your courses. These elective courses allow you to take classes in areas that appeal to you, so that you can gradually build up your career plan.

60 disciplinary electives

In semester 6, you will take 6 subject electives. You must select a subject elective in each of the five training departments and a sixth elective in the department of your choice.

In semester 8, you are free to choose 6 new electives that allow you to either diversify to strengthen your integrative profile, or to delve deeper into a particular subject area.

The electives offered are common to 1st and 2nd year students and some of them are taught in English.

  • Simulation of unit operations
  • Full metal module
  • Materials science
  • Heat and matter transfer
  • Advanced physics
  • Aerodynamics
  • Wave Imaging
  • Transporting fluids
  • Biorefineries
  • Quantum Theory of the Solid State

  • Rapid prototyping of Sensor Systems
  • Multi-physics design of complex electrical systems
  • Smart Decisions
  • Electronic systems for telecoms
  • Electricity for renewable energy
  • Real-time estimation for engineers
  • Systems modelling and control: application to robotics
  • Embedded systems architecture for control and supervision
  • Electric mobility
  • Electronics for Biomedical Engineering
  • Smart Systems
  • Telecommunications systems
  • Intelligent Systems Engineering
  • Smart Grid
  • Electricity for sustainable housing
  • Design and control of a robotised production line

  • Deep learning
  • Collaborative intelligence
  • Information systems
  • Random modelling and scientific computing
  • Object-oriented programming
  • Mobile programming and augmented reality
  • Systems and Networks
  • Mathematics Degree course University of Lille
  • Signal representation and inverse problems
  • Web 2.0 technologies
  • Performance evaluation and advanced optimisation
  • Optimisation and Prescriptive Analysis

  • Mechanics in the service of living systems
  • Numerical simulation applied to structural sizing
  • Dynamics of Mechanical Systems
  • Characterisation and modelling of materials behaviour
  • Quality and statistics in production
  • The digital chain: from idea to production
  • Modelling and sizing mechanical systems
  • Construction of civil engineering structures
  • Experimental Methods in Mechanics
  • Manufacture of parts by plastic deformation
  • Calculating civil engineering structures
  • Product specification and manufacturing
  • Rapid prototyping and additive manufacturing
  • Geotechnics and tunnels for smart cities
  • Design, ergonomics, and complex surfaces in mechanical design
  • CAD of mechanical systems

  • Innovation management
  • Getting to know yourself and developing your project
  • Market finance
  • Involvement with associations
  • Strategic management
  • Engineers and their environment
  • Change Management and Human Resources
  • Sustainable Entrepreneurship
  • Sustainable Project Management
  • Introduction to economic analysis

18 integration electives

In semester 7, you will choose two integration electives, during which you will experience the complexity related to integrating multiple disciplines.

The programmes are developed across several teaching departments.

Guided by the teaching staff, your learning is periodically marked – every four weeks – by intensive challenges such as Imagine&Make, business games, or learning about leadership in extreme situations.

  • Eco-design for positive energy housing
  • Biomechanics
  • Autonomous transport systems
  • The sound of Science
  • Construction 4.0
  • Modelling for organisational management
  • Development of DeepTech products
  • Creation of high-tech start-ups
  • Bioeconomy
  • Energy transition and the electricity grid
  • Architectural design and sustainable development
  • Biomimetic flow control
  • Reverse engineering & design thinking
  • Sink-or-swim learning
  • Energy approach and power transmission
  • From Generative Design to manufacturing
  • Artificial intelligence and health
  • Sport and Science