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 an “Intensive Week” consisting in an elective activity. 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.

Nine tracks

Paris-saclay campus

The construction industry having a strong impact on the environment, civil engineers need to take into account the carbon footprint of the works they build and of the construction process. The programme features courses such as Optimising the Cost of a Seismic Exploration Campaign, Optimisation of infrasonic wave detection for verification of the Comprehensive Nuclear-Test-Ban Treaty, and a Bridge Building Challenge.

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This track focuses on artificial intelligence, object-oriented software engineering, information processing and interactive robotic systems. Students typically focus on issues such as energy optimisation and the acceleration of a cloud financial calculation graph, parallel numerical methods, and parallel & distributed algorithms and programming.

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As our lives are becoming ever more connected, cities need to adapt to autonomous vehicles and other connected objects. This leads telecommunication networks to become smarter as well. This track will deal with the optimisation of 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. 

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Additive manufacturing can be used to optimise the production of various parts for different industries - biomedicine, civil engineering, aeronautics, etc. Students will learn about this method, as well as how to manage the supply chain, how to implement a predictive maintenance approach and how to develop a software using the object-oriented programming paradigm.

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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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