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Paris-Saclay University offers a Master of Engineering in Computational Neurosciences and Neuroengineering, a one-year full-time on-campus program designed to provide students with a deep understanding of the intersection between neuroscience, engineering, and computational modeling. The program covers key areas such as neural network modeling, brain-computer interfaces, neuroimaging, and neuroprosthetics, preparing students to work at the forefront of neurotechnology and computational neuroscience.
Graduates will be well-prepared for careers as neuroengineers, computational neuroscientists, and neurotechnology developers, with the skills to design and develop systems that enhance understanding of the brain and contribute to innovations in neuroprosthetics and medical devices. The university’s interdisciplinary approach and cutting-edge research facilities ensure that students gain valuable hands-on experience and are equipped to address the challenges of this rapidly advancing field.
Semester 1
Semester 2
Graduates of the M2 Computational Neurosciences and Neuroengineering program are well-prepared for careers in neuroscience research, brain-computer interfaces, and neurotechnology. They can work as neuroscientists, neuroengineers, computational researchers, and neurotechnology specialists. The field of computational neuroscience and neuroengineering is rapidly growing, with professionals in high demand for developing brain-machine interfaces and advanced neural technologies. Graduates often work in research institutions, medical technology companies, and healthcare organizations, contributing to innovations in brain-computer interaction and neuroengineering.
The M2 Computational Neurosciences and Neuroengineering program provides students with a deep understanding of the brain, neural networks, and computational techniques. Students gain expertise in neuroengineering, neuroimaging, and computational models of the brain, preparing them for careers in both research and technology development. The program’s interdisciplinary approach ensures that graduates are ready to contribute to advancements in neurotechnology and neuroscience.
For further information, please contact the admissions office at:
Phone: +33 1 69 15 54 00
Email: contact@universite-paris-saclay.fr
Address: Paris-Saclay University, 3 Rue Joliot Curie, 91190 Gif-sur-Yvette, France