Master in Biomedical Engineering: Bioengineering and Innovation in Neuroscience (BIN)

The BME PARIS master’s program is designed to provide a 2-year education program in the field of bioengineering, at the crossroad of biomedical and engineering science. It is based on an educational policy that fosters both an interdisciplinary, international perspective as well as the students’ initiative. It combines the top-level and complementary expertise of three partners: engineering science represented by three engineering schools within PSL (Chimie Paris, ESPCI Paris and Mines Paris) and Arts et Métiers on one hand, and biomedical and health science at Université Paris Cité, on the other hand. Teaching faculty comes mostly from the partner institutions. Guest lecturers include hospital clinicians (APHP), and researchers from other schools and universities as well as from private companies (e.g. GE Healthcare, Philips Healthcare, Renault, Sanofi, Thalès, Materialise Medical, etc.).
The 1st year is a common path for all BME students (with individualized choices of courses according to their background). The 2nd year is intended to specialize student’s capacities in dedicated engineering and biomedical tracks. Five specialization tracks are proposed, one of them being the BioEngineering and Innovation in Neuroscience Track (BIN).
The Bioengineering and Innovation in Neuroscience (BIN) training program, like the other tracks of the BME PARIS master’s program, leaves a wide part to interdisciplinarity. It is designed both for engineering school students, and for university students having a robust initial training in basic science or medicine. Courses will mesh engineering, mathematics, and computer concepts with molecular, cellular and systems neuroscience.
An introductory teaching unit will mainly provide a comprehensive overview of the structure and function of the nervous system. The focus will be both on systems and cellular neuroscience, providing the biological notions required for engineering students to follow the BIN track, while refreshing and/or complementing knowledge previously acquired by science and medical students.
Other courses will cover human-machine, brain-machine and brain-computer interfaces (from principles and design to practical implementation and a wide array of « neuroengineering » applications), the imaging and manipulation of neuronal and brain activity, predictive chemistry for neuroscience (from design to clinical testing), microfluidics and other innovative miniaturized biotechnologies for the nervous system, statistics, computer modeling of neuronal networks and their applications.
Our ambition is that through courses, seminars, social events, conferences and collaborative interactions, BIN students will contribute to bridge the gap between basic, clinical, and engineering neuroscience.