Computational Neuroscience Major

Click here for a PDF checklist of the course requirements for the major.

Lower division courses (8):

  • MATH 110 - Calculus I
  • MATH 111 - Calculus II
  • MATH 280 - Differential Equations
  • CS 110 - Introductory Computer Science & Programming
  • PHYS 110 - General Physics I (with lab)
  • PHYS 111 - General Physics II (with lab)
  • PSYC 110 - Introduction to Psychology
  • BIOL 120 - Introduction to Cell Biology (with lab)

Upper division courses (7):

  • NEUR 250 - Introduction to Neuroscience (with lab)
  • PSYC 374 - Topics in Neuroscience
  • PHYS 330 - Biophysics of the Brain (with lab)
  • PHYS 300.3 - Digital Signal Processing (with lab)
  • MATH/NEUR 300.3 - Dynamical Systems in Neuroscience
  • 1 from the following (Behavioral & Cognitive Neuroscience):
    • PSYC 343 & 344 - Behavioral Neuroscience (with lab credit)
    • PSYC 342 & 300.19 - Cognitive Neuroscience (with lab credit)
    • PSYC 345 - Psychopharmacology
    • PSYC 300.16 - Affective Neuroscience
  • 1 from the following (Molecular & Cellular Neuroscience):
    • NEUR 300.12 - Molecular & Cellular Neuroscience (with lab)
    • NEUR 300.9 - Neurobehavioral Genetics [requires BIOL 271 or ZOOL 351]

In addition to the major requirements, the following courses are recommended for students’ preparation for graduate study in Computational Neuroscience:

  • CHEM 110 - General Chemistry I (with lab)
  • CS 210 - Intermediate CS and Data Structures
  • MATH 230 - Applied Statistics
  • MATH 270 - Linear Algebra
  • MATH 380 - Applied Mathematics
  • CS 340 - Artificial Intelligence