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bayessays last won the day on November 9

bayessays had the most liked content!


About bayessays

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  • Application Season
    2020 Fall

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  1. A master's degree in statistics will care about your measure theoretic probability grade about as much as plumber school cares about your grade in fluid dynamics. You have so much more math than is necessary for these programs, and regardless of the Cs, nobody in their right mind will reject you because they don't think you can handle the coursework. I'm not sure where you'll be able to get funding, but those two grades are not a big concern.
  2. Most SOPs are filled with pretty cringey stuff, so accidentally leaving in a few extra letters would be pretty low on my list of bad things you can do. If anything they'll assume you also applied to TAMU and know that you want to be in Texas! Usually if you email admissions and just send them a new draft they will update the file and then the people actually reviewing your file might never even see this. I think it's most helpful to remember when asking questions like this that adcom members are just humans so you can just ask yourself whether you would hold something like this agai
  3. I think these are definitely big reach schools. To completely make up for those math grades, you'd need to see more consistent A performance in harder courses. Can you continue in the PhD program at your own program? That would probably be your best shot at a top 10 program.
  4. Big Ten Alliance https://btaa.org/resources-for/students/freeapp/eligibility All of these schools have at least one of a stats phd/biostat phd/math phd with stats focus. Success may vary by school and some will have stricter requirements, but I've gotten a ton of free apps this way. University of Chicago University of Illinois at Urbana-Champaign Indiana University University of Iowa University of Maryland University of Michigan Michigan State University University of Minnesota University of Nebraska-Lincoln Northwestern University Ohio State University Pennsylvania State Universit
  5. Can't get much better than a profile like this, so you can definitely apply anywhere including places like Stanford. No need to apply outside the top 20 unless you really like a certain program (like UT-Austin for Bayesian statistics). I think schools like Duke and CMU are good targets.
  6. I think these definitely fall in the "safety" range, definitely below where you should be aiming. I would apply to literally any biostat program. Top few aren't guaranteed but your profile is very good so I'd apply to most schools in the top 10.
  7. I imagine you will be in the conversation at both Michigan and Minnesota biostat departments but probably not their stat departments.
  8. You can just mention some broad areas like that (biost/finance) and it's fine. Most people getting an MS in stats are going to be interested in applied topics, and lots of Stanford PhD students are doing "applied" work that fits in those topics but also involves a lot of math. It won't be a big deal
  9. What's the master's in, statistics? I'd probably include a sentence explaining the B- in real analysis but you basically have straight A's otherwise and I think people will be understanding. Schools like UCLA, UIUC, Duke Biostat, FSU seem like good targets. Other big state schools like OSU, TAMU, Iowa State. I think you'll also have a really good shot at most Biostat programs outside the top few. I'd apply to a few more schools than other people because your results might be a little more variable with the real analysis grade, but don't sell yourself short - your profile is strong.
  10. For biostatistics, real analysis is fine, meaning that many applicants won't have more than that and also you don't need any extra math knowledge to be successful. Obviously, on the margins, more math might give a stronger signal that you will be successful - somebody who completed Harvard's PhD math curriculum as an undergrad would have a leg up because there would be no doubt he could successfully pass qualifying exams. I don't think it's worth taking extra abstract math classes (algebra, topology, etc) if you're not interested in them. Some classes in probability, statistics, computer sc
  11. I think it's probably not a big deal either way - your profile is very strong, so I would've assumed you could achieve that score, so I don't think it will help much but also definitely won't hurt.
  12. The DC area does have some respectable programs like George Mason and GWU, but yeah, with your profile I think the smarter move would be to just go to a program that has research that interests you and is solidly ranked.
  13. The federal hiring process is so different than academia/industry (and also location-limited) that I'm not sure any department has a huge number of people go into government positions, but programs in the DC area are probably good to find those connections. University of Michigan has the survey research center, so there are opportunities there for biostat/stat PhD students to do related research. CMU has the stats+public policy concentration. But agreed with above, that your research area will matter somewhat. For instance, I know some people who do statistics+privacy research, and that is
  14. Even if the topics are similar to your undergraduate class, I'm sure Wharton's PhD mathematical statistics class will cover them at a much deeper level. That will be the most useful for your future (will make the PhD classes+exams much easier for you and help your application by showing you can succeed in these classes). The machine learning and analysis classes are also reasonable to take if you really do not want to take the mathematical statistics class. I don't see Harmonic Analysis being as useful.
  15. I think even 40-60 might be pretty big reaches with these math grades from a non-elite school and no research experience.
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