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).

December 2016:

1. Introduction to Neuroscience
2. Fundamentals of Biology

January 2017:

1. Introduction to Computer Science
2. Introduction to Computational Thinking and Data Science

February 2017:

1. Introduction to Computer Science Programming in Python
2. Sensory Systems

March 2017:

1. Intro to Computer/Electrical Engineering

April 2017:

1. Intro to Comp and Elec Problem Solving

May 2017:

1. Introduction to Neural Computation

June 2017:

1. Cellular Neurophysiology

July 2017:

1. Intro to Neurorobotics

August 2017:

1. Cell NeuroBio