I’m thinking about going for my PhD in neuroscience, specifically computational neuroscience. With a BS in neuroscience, and working on my second BS in computer science, I need to do all I can to boost my grad application and make sure I have the coursework that will make me an attractive student.
So, I turned to MIT for their undergraduate and graduate neuroscience curriculums, and created this new self-study curriculum for the next year. (I plan on applying in December 2017, so I’ve got a year to refresh on undergrad neuro and teach myself a few graduate neuro topics/courses).
Introduction to Computer Science Programming in Python |
Introduction to Computational Thinking and Data Science |
Introduction to Computer Science |
Introduction to Neuroscience |
Introduction to Neural Computation |
Intro to Computer/Electrical Engineering |
Sensory Systems |
Fundamentals of Biology |
Intro to Neurorobotics |
Cognitive Neuroscience |
Brain Structure and its Origins |
Perceptual Systems |
Neural Circuits |
Neurobiology of Learning and Memory |
Cellular Neurophysiology |
Animal Behavior |
Developmental Neurobiology |
Neuroendocrine Systems |
Intro to Comp and Elec Problem Solving |
Genes, Circuits, and Behavior |
The Brain and Its Interface with the Body |
Cell NeuroBio |
Systems Neuroscience |
Cell and Molecular I |
Cell and Molecular II |
December 2016:
January 2017:
February 2017:
March 2017:
April 2017:
May 2017:
June 2017:
July 2017:
August 2017: