Return to: Office of the Provost
Director: Pat Levitt, PhD
Application deadline: December 1
Breadth of interests and training are major features of the graduate program in neuroscience. Wide and varied skills in many research areas characterize the faculty of the program. Close contact between faculty and students is considered of major importance in this highly interdisciplinary field.
Training is given in several areas of specialization: behavioral and systems neuroscience, cellular and molecular neurobiology, cognitive neuroscience, computational neuroscience, neuroengineering, brain diseases, and neuroscience of aging and development.
Applicants should normally have defined an interest in one or two specializations. A final choice of the specialization will be made during the first year through laboratory rotations.
A baccalaureate degree in a field relevant to the student's graduate goals is required.
Appropriate fields would include neuroscience, biology, chemistry, computer science, linguistics, psychology and many areas of engineering. Undergraduate study should provide evidence of substantive research experience, and proficiency in mathematics, including statistics. Students planning to enter the specialization in computational and mathematical neuroscience should have taken course work in calculus and, where possible, linear algebra and computer programming. Applicants who are accepted with minor deficiencies are expected to correct these during the first year.