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  1. I'm planning on submitting applications for master's programs in statistics/bio-statistics this fall, and I'm not quite sure how to approach the statement of purpose. I have a relatively good idea of how it works for PhD programs (i.e. research experience, professors or labs to work with, etc.), but if my goal is not a PhD, how do I write this? Most terminal master's are not too research-heavy so I'm just not sure how I can approach this when statements of purpose tend to be mostly about research experience and research goals. Any help will be appreciated. Thanks!
  2. I'm curious about some Canadian universities for their statistics programs, but I've heard numerous times that the way master's programs work in Canada is much different than the ones in the US. A few questions I had was: 1. Generally, are Canadian programs usually funded and geared towards research careers? I'm personally not looking for a research career. 2. As an American, do I have to apply with a TOEFL? 3. Am I ineligible for any kind of Canadian federal/provincial funding or aid as an American? Can I take out loans in the US and use them toward Canadian programs? 4. Most statistics programs in the US consist of international students. Is it similar in Canada? And is it much harder to get in as an American (or international) student to master's program in Canada? Any other thoughts or comments are welcome. Thanks in advance for all the advice!!!
  3. Is 166Q competitive at top schools? I see admission averages that are like 168-169. Also, I'm afraid that even when they see a 4.0, they'll say something along the lines of: "So what? You studied at a CUNY, not an Ivy." I don't know if adcoms are that mean against non-prestigious degrees, but... I hope not.
  4. Hi all, With schools starting to open up their applications in the next 2-3 months, I've been wondering what schools I should aiming for. I want to get into healthcare using math/stats so most of the programs I was considering are bio-statistics or operations research with a focus on health systems. I have a pretty good academic profile but some concerns I have are that 1) my undergrad has zero prestige; 2) my GRE score seems a little low for the top programs; 3) I have no direct healthcare experience (currently work in unrelated economic research). Below are my stats but I'm not sure how competitive my profile would be. Obviously, I would love to get into top schools like Harvard Biostats or Stanford MS&E, but I have no idea whether my GPA/GRE is really enough. Given my profile below, what type of schools should I be aiming for? Am I being delusional for thinking that I should even apply to a place like Harvard? What "tiers" should I be aiming for? Any help would be greatly appreciated. Thanks so much!!! Undergraduate Institution: CUNY - Hunter College Major(s): Math GPA: 4.00/4.00 Type of Student: Domestic Asian Male GRE General: 166Q (90%); 164V (94%); 4.5 AWA (82%) Programs Applying: MS Biostatistics, Statistics, and Operations Research (health systems focus) Letters of Recommendation: 1 from my mathematical statistics class professor; 1 from my epidemiology class; don't know my third letter writer yet. Relevant Coursework: Calculus I, II, III; Linear Algebra; Ordinary Differential Equations; Vector Calculus; Discrete math; Real Analysis I ; Complex Analysis; Abstract Algebra I ; Stochastic Processes; Numerical Methods & Analysis; Mathematical Statistics; Intro to Probability Theory; Intro to Epidemiology Skills: R, Stata, Python, SQL (I have an active Github portfolio with all my code) Relevant Research: None, but I'm not aiming for a PhD Work Experience: Software Engineer for 2.5 years, and now currently doing data analysis doing economics research
  5. 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.
  6. I don't quite follow. Why would it be better to aim for biostatistics over statistics programs?
  7. 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.
  8. 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?
  9. 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!
  10. 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!
  11. 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!
  12. 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!
  13. So I've talked to a few people who've applied to computer science master's programs. Whenever I talk to international students, it seems really tough to get into a decent program. However, when I talk to my American friends, it didn't seem like they had too much trouble getting into good programs. I'm not saying that it was easy for them, but the Americans who had been accepted had good profiles, but were not stellar, geniuses. On the other hand, the international students' profiles seem much more impressive, on paper at least. Are my observations true? Is it easier for Americans to get accepted into MS CS programs? I could imagine public universities doing this, but do private schools do it as well?
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