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gm758

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Everything posted by gm758

  1. Stanford is the best and it's not even close. Especially for what you want to do.
  2. Just wanted to submit an update. I took the GRE this afternoon and scored 165 on Verbal and 167 on Quant. Is this in range for top tier master's programs?
  3. That's not a bad idea. I'd probably have to aim lower if I want to get a PhD though, right? Maybe the best thing for me to do is apply to a combination of higher ranked Master's programs and lower ranked PhDs to keep my options open. Thanks for the advice!
  4. Undergraduate: UC Santa Barbara B.S. Mathematics, Anthropology minor 3.76 cumulative GPA 3.65 major GPA (much higher grades in second 2 years) Other Experience: Two semesters of independent study in the mathematics department (not stats related) with excellent LOR from advisor. Programming experience in Python and R. Research/Presentations: Two years as a medical research assistant. Work involved a combination of designing/coordinating clinical trials and conducting epi research using monte carlo simulation models. Coauthor on two abstracts (one clinical, one model-based). Several publications in the works, including one first-author data analysis. Not sure these will be published by the time I apply. Letters of Recommendation: One from Mathematics professor who I conducted independent study with. One from Biochemistry professor I got to know quite well. One from PI from research assistant position (biostatistician at top medical school). Interests: I am interested in computational statistics and machine learning. I want to work as a data scientist and keep the door open for a PhD down the road. Despite my background, I am not particularly interested in biostatistics programs. Considering Applying to: Columbia - MS in Statistics University College of London - CSML UCLA - MS in Statistics Georgia Tech - CSE Edinburg - Statistics and OR UNC - INSTORE UT Austin - MS in Statistics UCSB - MA in Statistics (alma mater) Am I aiming too high? Are there any programs I am missing that I might have a good shot at that emphasize the computational aspects of statistics?
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