I’m not sure if this is the correct stack overflow site to be asking this question, if it isn’t please point me in the right direction and I’ll close this question. Also if anyone could point me somewhere that would be just as beneficial to ask with more traffic that would also be great. Thanks!
Anyways, I just had some questions concerning what degree I should pursue in order to become a machine learning engineer. I recently graduated with a B.S. in Computer Engineering and I ended up taking 2 courses in machine learning that I really enjoyed and got me thinking about if I could transition my career to a new job in a couple years. After researching jobs related to machine learning, there were 2 that seemed to peak my attention (and I understand that the differences between the two aren’t really existent since the job titles are so new) and they were data scientist and machine learning engineer. So, I was looking at different masters programs that would aid me in this transition and I came across a dilemma, for some universities, they offer masters degrees in programs that seem very similar and I’m not sure which I should apply to. For instance, at John Hopkins, they have 3 degrees that are all very similar M.S. in CS with a focus in Data Science, M.S. in AI, and M.S. in Data Science. These all have significant overlap and I’m not really sure which would be the most beneficial to me when I would be applying to machine learning engineer/data scientist jobs in the future.
Also, I have seen something similar when applying to other schools but different. Georgia Tech only offers a M.S. in CS with a specialization in machine learning, whereas UC Berkeley only offers a M.S. in data science. Would these two degrees both help me equally when applying for the aforementioned job?
I really appreciate any help anyone can give me, even if its just pointing me to somewhere else to ask my question. Thanks and have a great day!