The Master M2 CNS program exposes students with state-ot-the-art skills and approaches to model cognitive processes and neural mechanisms, hence both behaviour and neurophysiological observations. The program covers cutting-edge methods for empirical hypothesis testing, that is analysing and interpreting experimental data. Designed for a diverse audience, it welcomes students with backgrounds in biology, medicine, mathematics, physics, engineering, and related sciences. The entire course is taught in English, preparing graduates for international careers at the intersection of neuroscience, data science, and computational modelling.
This Master program in Computational Neurosciences combines a solid theoretical foundation with hands-on practical work. Students will develop practical skills through project-based learning. During the first semester, students progressively specialize. Initial courses focus on the fundamentals of neuroscience, mathematics, programming, and statistics, providing the foundation for advanced topics in the last part of the semester. Optional units allow students to explore cutting-edge areas, including clinical neuroscience, cognition, artificial intelligence, or neurotechnologies. The second semester is instead fully dedicated to laboratory internships.