Hi forum!
I’ve been out of college for a couple years, and wanted to go back for a degree that would help me get a job in Data Science. I’ve been working as a Data Analyst, and the job originally promised a Data Science role (working with Hadoop, Hive, Pig, etc. and performing machine learning) but that has since changed for the worse. I do have a Machine Learning publication I’m getting out of it though, so not completely unrelated to my goals.
I’ve noticed that most Data Scientist positions require a Master’s degree in Statistics as a baseline, but I wasn’t sure if I could get into a high-ranked Statistics program. I was a Cognitive Science (B.S.) and Statistics (B.S.) major, and I had a rather higher GPA (3.98), but I had run out of time to take some of the advanced math classes (Advanced Linear Algebra, Real Analysis, etc.) that a lot of Statistics programs seem to want as pre-requesites.
So my question is two-fold:
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Is there a way for me to take some math courses, and demonstrate that I can handle the academic rigor of a top-ranked Statistics Masters program? I guess the best parallel I can think of is a post-bac program, but for math. Do those exist
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If I do a Quantitative Psychology Ph.D., how are the prospects for Data Scientists? Most of the positions I’ve seen on LinkedIn seem to go to Physics or Engineering Ph.D.s. On the other hand, my background (in terms of college research and post-college work) seem much more suited to this choice.
I have to take the GRE first anyway, so I know I have some time to think about this, but I’d like to be settled on a gameplan soon. Thanks for any and all help!