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statsafari347

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  • Gender
    Man
  • Interests
    Monte-Carlo simulation, bootstrap methods, reliability statistics, machine learning, data science
  • Application Season
    2020 Fall
  • Program
    Statistics

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  1. Thank you for the reply! I want to take RA but it won't really serve my purpose if I do poorly. A mentor of mine mentioned I should take RA, but I'm really in a bind with my major switch. I think I'm more interested in machine learning and computational statistics anyways. I'm primarily looking for Master's programs with operations research departments. Perhaps I could take RA in grad school if I decide to do a PhD later on.
  2. Hello, I am a rising senior majoring in statistics. I changed my major sophomore year from engineering, and I am on a time crunch to graduate in four years. I want to attend a Masters program in Statistics in Fall 2020. For my courses, I have the option to take real analysis or survival analysis in the fall (but they are offered at the same time). I have heard that taking a proof heavy course shows my mathematical ability to graduate admissions. This would be helpful since I have had no upper division math courses. I did well in my intro to proofs class and discrete math courses, but I am worried that taking real analysis on top of Statistical Methods I, Mathematical Statistics I, and Clinical Trials will spread me too thin. Should I take real analysis or opt for survival analysis? Thank you.
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