New York University Graduate School of Arts and Science 16 courses 72 total credits
Understanding the brain is one of the great scientific challenges. How does the nervous system allow us to sense, move, learn, decide, remember, and think? How are the underlying neural circuits built by genetic and molecular programs? How do neurons communicate via synapses to transmit and store information? What goes wrong in neurodevelopmental disorders like autism and schizophrenia, and in neurodegenerative diseases like Alzheimer’s and Parkinson’s disease? And how can we model neurons, circuits and systems to better understand the brain? Graduate students in our PhD program in neuroscience are addressing these questions at labs located across NYU, using cutting-edge tools drawn from genetics, molecular biology, biochemistry, electrophysiology, microscopy, computer science, data science, and mathematics. This website is designed for you to learn about graduate training in neuroscience at NYU. Our program arises from two cooperative centers located just a few city blocks apart: the Center for Neural Science (CNS) and the Neuroscience Institute (NI). CNS, located at NYU’s Washington Square campus, is home to core neuroscience labs, has affiliate labs in biology, psychology, physics and data science, and is NYU’s portal for undergraduate neuroscience education. The NI is located at NYU’s school of medicine and houses additional core neuroscience labs, as well as affiliates from clinical departments and the Nathan Kline Institute. Together, CNS and NI serve as the joint pillars of graduate training in neuroscience at NYU, with research spanning genetic, molecular, cellular, developmental, systems, behavioral, and computational levels. Prospective graduate students apply through a single online portal and applications are jointly reviewed by a single admissions committee that spans CNS and NI. Students in our PhD program receive comprehensive interdisciplinary training in all areas of neuroscience, with a strong emphasis placed on performing research at the highest level. Students in our program go on to do postdoctoral work in neuroscience, work in science, medicine, and other technical fields, and become research faculty at other institutions.
Major Requirements
Required during the first year:
Major Requirements
Systems and Computational Neuroscience
| Code | Course Title | Credits |
|---|---|---|
| NEURL-GA 2205 | Behavioral & Cognitive Neural Science | 4 |
| NEURL-GA 2207 | Mathematical Tools for Neuroscience | 4 |
Major Requirements
Molecular and Cellular Neuroscience
| Code | Course Title | Credits |
|---|---|---|
| BMSC-GA 2001 | Topics in Molecular Biology | 3 |
| BIOL-GA 2030 | Statistics in Biology | 4 |
Electives
Non-graded Courses and Electives
| Code | Course Title | Credits |
|---|---|---|
| NEURL-GA 3390 | Sem in Current Topics | 1-3 |
| NEURL-GA 3380 | Fellows Seminar | 1-2 |
| NEURL-GA 3305 | Reading Course in Neural Science | 1-3 |
| NEURL-GA 3306 | Reading Course in Neural Science | 1-3 |
| NEURL-GA 3321 | Research Problems in Neural Science | 1-3 |
| NEURL-GA 3301 | Dissertation Research | 1-3 |
| Total Electives | 38 credits | |
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