nyu computational neuroscience

Last Updated on August 28, 2023


What is this program about?

Trainees will do research in computational neuroscience and participate in additional training activities. Trainees will receive a stipend of approximately $12,000 a year.

What is Computational Neuroscience?

Computational neuroscientists try to understand how the brain and mind work by building mathematical models and computer simulations, and by comparing the resulting predictions with experimental data from humans and other animals. Computational neuroscience is a highly interdisciplinary field. Computational neuroscientists might have a background in neuroscience and/or psychology, but they also come from mathematics, physics, computer science, engineering, and other fields. Why would I do research as an undergraduate? Students who end up doing research are usually eager to learn beyond their textbooks and coursework, they ask many questions, and they are not satisfied with easy answers. Research experience is also a prerequisite for Ph.D. and many M.D. programs. You would do research in a laboratory, which will allow you to learn from your colleagues – not just your professor, but also Ph.D. students and postdocs.


For decades, NYU has served as a premier training ground for new generations of neuroscientists. With the addition of many new faculty and modern laboratory space, NYU has broadened its training mission. Neuroscience research at NYU spans molecular, cellular, developmental, systems, cognitive, behavioral, and computational approaches to understanding the brain. The breadth and depth of our neuroscience research arises from two cooperative centers located in lower Manhattan – the Center for Neural Science (CNS) and the Neuroscience Institute (NI). CNS, located at NYU’s Washington Square campus, is home to 28 core neuroscience labs, affiliate labs in biology, psychology, and physics, and is NYU’s portal for undergraduate neuroscience education. The NI is located at NYU’s medical school and houses more than 25 core neuroscience labs as well as affiliates in allied departments. Connected by a free university bus service, CNS and NI serve as the joint pillars of graduate training in neuroscience at NYU. Prospective graduate students apply through a single online portal and applications are jointly reviewed by a single admissions committee that spans CNS and NI


Minimum requirements for graduation include:

3 Neural Science Core Courses 

  • Introduction to Neural Science (NEURL-UA 100)
  • Behavioral and Integrative Neural Science (NEURL-UA 220)
  • Cellular and Molecular Neurobiology (NEURL-UA 210)

3 Neural Science Electives (Generally NEURL-UA 302)

9 Basic Science Courses

  • Biology I and II (BIOL-UA 11 and 12)
  • Chemistry I and II (CHEM-UA 125 and 126)
  • Molecular and Cellular Biology  (BIOL-UA 21)
  • Physics II (PHYS-UA 12)
  • Psychology Statistics (PSYCH-UA 10) or Substitution
  • Calculus I or Higher (MATH-UA 121)
  • 1 upper level elective course in either Biology or Experimental Psychology

Additional requirements for Honors Track

  • Honors Seminar (NEURL-UA 302)
  • 2 laboratory courses (2 pts each): Behavioral and Integrative Neural Science Lab (NEURL-UA 221), and Cellular and Molecular Neurobiology Lab (NEURL-UA 211)
  • Thesis (not registered for credit)
  • present their thesis work at NYU’s Annual Undergraduate Research Conference and the Center for Neural Science’s Undergraduate Research Conference

Recommended (but not required) courses include:

  • 1-2 courses in Computer Science (Intro to Computer Programming, Intro to Computer Science, etc.)
  • Advanced Math Courses (Linear Algebra, Calculus II, etc.)

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