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sknzr

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  • Application Season
    2017 Fall
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  1. Hi- I recently applied to graduate school in both Statistics and Applied Mathematics and have been accepted to both types of programs for a Master's (hoping to continue on to a PhD). I often see people tying Machine Learning, Data Science, etc together with Statistics, but have also seen these areas mentioned in Applied Mathematics programs which do not include Statistics as a part of the department. I was curious how one might differentiate the careers for Applied Mathematicians versus Statisticians in these particular areas and how the research in Statistics and Applied Math on ML and Data Science is different? Thanks!
  2. Hi- I have a background in Computer Engineering and seek an eventual PhD in Statistics. Knowing I lacked some of the math courses necessary for a PhD, I applied to PhD programs where you could be considered for the Master's program if not admitted to the PhD. I have been admitted to UCLA, UCSB, and University of Michigan for Master's, and am hoping to attend one which is going to prepare me best for continuing on to a PhD program. I know, for example, that Michigan's Applied Statistics Master's seems somewhat more catered to preparing students for industry, but I had also seen that a few of their students do in fact continue on to do a PhD. I was curious if anyone could provide insight on these programs and inform me of the program's reputation in addition to how focused each Master's is on preparing a student for industry versus continuing on to a PhD. Thanks
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