Main navigation
- Programs
- Subjects
- Universities
- Destinations
- Advice
The University of Chicago boasts a rich history of groundbreaking neuroscience research. Pioneers like K. C. Cole invented the voltage clamp technique here, while Stephen Polyak and C. J. Herrick made seminal discoveries about retinal and brain anatomy. Jack Cowan and Hugh Wilson pioneered mathematical modeling of cortical neuron dynamics using nonlinear systems. Today, the Committee on Computational Neuroscience carries forward this legacy by uniting faculty across the University's four graduate divisions for interdisciplinary neuroscience studies. This emerging field investigates how nervous system components interact to generate behavior in animals and humans. Through quantitative modeling approaches, computational neuroscience aims to decipher nervous system functions, natural behaviors, cognitive processes, and to engineer artificial systems that replicate biological behaviors.
The computational neuroscience curriculum equips students for careers in neurobiology, psychology, mathematical sciences, or engineering. Program graduates pursue paths in academia, biomedical research, engineering, or corporate sectors.
Students with undergraduate degrees in biology, neuroscience, cognitive science, and psychology, any of the quantitative sciences or any of the engineering disciplines are invited to apply to the Graduate Program in Computational Neuroscience.
Computational neuroscience is inherently interdisciplinary, and most students doing graduate work in this area will have strengths in one of the relevant areas and weaknesses in others. Program requirements are designed to address background deficiencies, so students with uneven backgrounds should not hesitate to apply. A year of college level calculus is an absolute prerequisite. Ideally, applicants should have some collegiate level course work in biology (optimally including an introductory neurobiology course), an introductory psychology course, and some mathematics (such as linear algebra and elementary differential equations) beyond calculus. Students who have not had prior exposure to linear algebra and differential equations may be asked to take appropriate courses in these areas before taking the mathematics sequence within the computational neuroscience curriculum.
English language requirements:
The minimum required score for the TOEFL is 104 overall, with 4 sub scores of 26 each. Minimum required scores in the IELTS are an overall score of 7, with sub scores of 7 each.