Coordinator: Jason Zevin, PhD
The computational neuroscience major is designed for those students with an interest in applying mathematical and computational methodologies toward understanding the structure and functioning of the nervous system. The major will provide progressive training in interdisciplinary and inter-faculty aspects of neuroscience, and serve as a foundation for students interested in pursuing post-graduate education in graduate or professional schools or career opportunities in technically advanced occupations. Research is integral to this major and students are encouraged to engage in research with neuroscience faculty as early as possible in their undergraduate years.
A grade of C- or higher is required to count toward major requirements.
The major requires twelve core courses (45 units) and six or seven electives (minimum 22 units) for a minimum total of 67 units.
The degree requires a minimum of 128 units.