Master in Electronics, electrical energy, automation

Master in Electronics, electrical energy, automation

Electrical Engineering and Control Systems / CompSEE 2nd year

Presentation and goals

Over the last 25 years, the global population using electricity has increased by 10 points, from 74 to 85%, while the per capita power consumption increased by 50%. This increasing demand for energy and the necessary fulfillment of environmental constraints are driving the development of renewable energies and renewed electrical systems and devices.

On one hand, the integration and use of intermittent energies require profound technological changes of power grids to ensure an optimized, secure and reliable production and distribution in any conditions.

On the other hand, electromagnetic devices are also subject to multiple constraints. Development of electric transportation systems (car, plane ...) impose the use of high-performant and energy-efficient on-board devices. These devices will be submitted to intense multi-physical solicitations (electromagnetic, mechanical and thermal). The rising of the Internet of Things (IoT), key element for the deployment of smartgrids, smarthomes and smartcities, requires energy recovery devices using several physical, storage elements as well as specific sensors and actuators.

In a scientific and industrial context engaged in the search for innovative solutions, it is vital for the modern electrical engineer to model and describe more finely the response of devices and systems, on several scales (from the geographical territory to the microscopic material scale). This program is therefore conceived as the convergence between three training areas: electromagnetic modeling and circuit theory, numerical computations, multi-scale and multi-physics studies of a wide range of systems and devices from transmission power grids to electrical actuators. The extensive training provides a multidisciplinary culture that allows students to acquire high-level scientific knowledge and skills for research and development (R & D) in electrical engineering, from the latest theories to their applications.

Programme

Programme

    Master 2nd year

    • Semester 9
    • Semester 10
Knowledge check

The grading policy comprises homeworks and lab assessments plus partial and final examinations. The grade of a module is the weighted average of the marks of each assessment, and the overall mark of the Master’s exam is the mean of module grades weighted by the credits of the modules.