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About hcms1

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  1. hcms1

    Biostatistics v/s Statistics PhD

    I thought statistics and biostatistics have pretty much same math pre-requisites? I wasn't aware that biostatistics is considered "easier" or required less math and statistics coursework for admission.
  2. hcms1

    Biostatistics v/s Statistics PhD

    I don't quite follow. Why would it be better to aim for biostatistics over statistics programs?
  3. hcms1

    Unconventional background

    Do you actually want to do research in statistics, or do you want to do research using statistics? There is a difference, and it sounds like you are more interested in the latter.
  4. I certainly do not mind working with public health related topics. In fact, there are some that I actually find quite interesting. However, I do not want to be silo-ed into these fields and end up being stuck working with data from genomics, RNA sequencing, or stuff like that. Another concern is that I do not have academic or work experience with biology or epidemiology, which may seriously hurt my applications. Do most biostatistics programs care whether I have courses in epidemiology and biology?
  5. I will be applying to master's programs (NOT PhD) this upcoming cycle, and I would like to study/research causal inference. I've noticed that this topic seems to be more commonly found in biostatistics departments than a "plain" statistics department. However, I'm not that interested in working with biomedical/genomic/cancer data. It's certainly not a deal breaker, but I do not want to silo myself to only those problems. So, is it still worth applying to biostatistics programs even though I'm more interested in the statistics/math than health/life sciences? Or should i stay away from them? Thanks!
  6. Hello. I recently took the GRE and got a score that I thought was pretty good: 166Q / 164V / 4.5 AWA. I would like to aim for a top 10 program and I've heard that 166Q is too low for these programs and that 167/168 on GRE Quant should be the aim. Is this true? Does 1 or 2 points really make that much of a difference for operations research / management science master's programs? It seems a bit ridiculous to study another month or so just to bring up my score by 2 points, but I'm not sure whether this is actually what's required of applicants these days. Any input would be appreciated. Thanks!
  7. Yeah I was kind of thinking that adcoms differentiating between 166 vs 168 GRE quant scores seemed a bit too scrupulous to the point of being almost ridiculous. But again, I have no real reference point, so I wasn't sure. Thanks for the answer though!
  8. I recently took the GRE and got a score of 166Q (90th percentile) /164V (94th percentile) /4.5 AWA. I have a very good GPA (not to be braggadocios) and I think I can get some solid recommendations for master's programs in applied math and statistics, so I'm aiming for top programs. However, most of the top 8 or so programs have median/average accepted GRE scores of 168Q or higher, which seems ridiculously high. I'm not quite sure how to feel about my 166Q since it's right on the 90th percentile, so I feel that it may be just slightly low for these programs but otherwise a very good score. So considering this, should I retake the GRE just to increase quant score by 2 or more points? I feel like the marginal return might not be all that great, but I would like to get into good programs. I'm also domestic/US citizen so I'm not sure whether that's a factor in my application and how adcoms look at my GRE score. I'm quite new to the graduate application process and have no reference point from family or many friends that have gone to STEM master's. Thanks for any insights!

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