Semester by coursework

The “semester by coursework” option provides an insight into the French approach to engineering. Students begin with the “Engineering Challenge term” (February-March) followed by the “Academic term” of elective courses (April-May), and end with a one-week “Intensive Week” course. Throughout the Spring semester, students must also validate the common core curriculum, which includes a semester-long team project and two related workshops. Finally, students must take up to two foreign language courses, among which French as a Foreign Language.

Course selection

The semester by coursework track is worth 30 ECTS (European Credit Transfer System), and involves around 450 hours of work, both in class and out. Upon completion of all the required exams, students receive a transcript that allows their home universities to transfer credits towards their home degrees.

The Engineering Challenge term (in February-March) comprises a coherent set of courses related to an engineering problem. All sets include an introductory module, a term-long course, and a “challenge week” devoted to a hands-on engineering problem that the students select upon arrival from a list of options provided by the program.

The Academic term (in April and May) comprises 3 courses students choose from a series. Some tracks offer several series, in which case students are required to choose only one elective from each series.

The Intensive Week (which takes place in June) offers courses on a wide range of specific issues, both in engineering and management and in the social and human sciences. Students choose one course/issue on which they will focus all week.

In addition, students must complete the semester-long core curriculum, which comprises a semester-long team project and two workshops (the “engineering skills workshop” and the “professional practice workshop”).

Finally, you will have the opportunity to brush up your French with our language course.

Seven tracks

Paris-saclay campus

This track focuses on the use of physics to solve various engineering challenges. These challenges range anywhere between reducing our environmental footprint, and producing energy with the lowest environmental impact, to communicating wirelessly through antenna-based systems, and using physics and mathematics in digital communications and data processing.. 

wirelessly through antenna-based systems, to use physics and mathematics in digital communications or data processing, to produce energy with the least possible impact on the environment, and much more.

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This track is designed to train civil engineers to reduce the environmental impact of the construction industry. The program features courses such as Optimizing the Cost of a Seismic Exploration Campaign, Optimizing Civil Engineering Structures in Concrete Additive Manufacturing, Energy Conversion, and Multi-Physic Coupling Simulations.

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This track focuses on artificial intelligence, scientific computation, object-oriented software engineering and cloud computing. Students typically focus on issues such as energy optimization and the acceleration of a cloud financial calculation graph, parallel numerical methods, and parallel & distributed algorithms and programming.

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This track is focused on optimizing network infrastructures for smart cities, complex systems of robotics interacting with humans & their environment, physics in information processing, and energy production that is least damaging to the environment.

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This track focuses on mechanical engineering and its application to aerospace engineering — and specifically on how the optimization of shapes and the reduction of drag in aeronautics, to reduce its ecological footprint. Students also learn how to optimize aeronautical parts using additive manufacturing, scientific computation, interactive robotic systems and multi-physics coupling simulations.

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Rennes campus

This track is designed for students interested in the services provided by digital technologies. From 2D and 3D image and sound analysis, to the automatic analysis of non-verbal behaviors, smart grids & energy management in isolated areas, radiocommunications, and virtual & augmented reality.

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Metz campus

This track is focused on the processing of information using neuro-inspired physical systems, smart photonics systems, chaos, fractals & complexity, and the collection of big data — how it is stored and analyzed on clusters and clouds.

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