This is what <a href="https://mcgovern.mit.edu/profile/ed-boyden/">Ed Boyden</a>, my PI, sent me after we talked about on required courses to learn that would be akin / equal to a degree useful for good science research (not quite specific to just neuroscience). He called it: &quot;The ‘dropout curriculum’ for becoming a great bioengineer rapidly. &quot;
<h2>Required Courses</h2>
He called this list of MIT courses the bare minimum. Course numbers are old ones, I think some of the Course 6 ones have changed around at this point.
Chemistry:
<ul>
<li>5.11 Principles of Chemical Science</li>
<li>5.12 Organic Chemistry I</li>
<li>5.60 Thermodynamics and Kinetics</li>
</ul>
Biology:
<ul>
<li>7.012 Introductory Biology</li>
</ul>
Physics:
<ul>
<li>8.01 Physics I</li>
<li>8.02 Physics II</li>
<li>8.03 Physics III</li>
<li>8.04 Quantum Mechanics I</li>
<li>8.05 Quantum Mechanics II (if you want!)</li>
</ul>
Calculus:
<ul>
<li>18.01 Calculus</li>
<li>18.02 Calculus II</li>
<li>18.03 Differential Equations</li>
<li>18.06 Linear Algebra</li>
</ul>
Computer Science:
<ul>
<li>6.003 Signals and Systems</li>
<li>6.042 Math for Computer Science</li>
<li>8.044 Statistical Mechanics I</li>
<li>6.011 Comm., Control, and Signal Processing</li>
</ul>
Neuroscience:
<ul>
<li>9.00 Introduction to Psychology</li>
<li>9.641 Introduction to Neural Networks</li>
</ul>
You can find content for all of these courses on MIT OpenCourseWare.
Note: Maybe his full list of courses he ended up taking might be useful?? Unsure lol. Anyways, this list is kind of what I’m planning on using as a way to figure out what to self-study and what to take.