kingduck Posted December 21, 2020 Share Posted December 21, 2020 I typically lurk on the mathematics and statistics section of this website. I've been noticing recently that ML seems to be more housed in CS departments, while still drawing upon knowledge in stats, e.g. CMU's ML PhD has a couple courses on statistics as part of their curriculum. The last two years, I worked in analytics while I earned an MS in Stats from a large state flagship, ranked USN top 50 in the field. I am contemplating on earning an online MSCS from UT Austin or GATech since I have always had an interest in programming and studying efficient algorithms. I have also taken a few into to CS courses, and I have had to code extensively at my job. Given my stats background, I am also interested in ML and the overlap between stats and CS. A couple programs that I've seen offer ML are GATech PhD in ML, CMU PhD ML, and Stats+ML in the UK (i forgot with universities were involved in this group). I finished undergrad with a 3.3 in economics (low econ and gen ed grades, high STEM grades) at a top 20 USNR private school, and I finished my masters with a perfect GPA. As the computer science field is very much new to me, is there any advice for me on performing doctorate level research ML? Would I have a chance at applying into CS departments that have a focus in ML? What is the consensus on the OMSCS approach? Link to comment Share on other sites More sharing options...
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