qpoiz Posted March 18, 2016 Posted March 18, 2016 I received a BS in biochemistry in 2014 and took a gap year to knock out basic math/CS/physics courses. The goal was to specialize in ML/statistics to get involved in AI but have realized going to school to learn hardware (over software) would be more valuable long term. That being said, I've looked into BSEE curricula to get a general idea of the work ahead me, and it looks like I will need to crank out at least 40 credits of EE courses (10 courses) to be competitive for a MS/PhD. Logistically it seems too little, too late for me at this point to get an EE MS/PhD, but I was hoping there may still be solutions that I am not aware of to reconsider. I would love to hear your experience. Thank you for your help. EDIT: I completed calc 1-3, linear alg, diff eq, combinatorics, statistics, physics 1/2, data structure, algorithm: 4.0 postbac, 3.3 bac. I can knock out 5 freshman/sophomore EE/machine learning courses this summer.
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