Jump to content


  • Content Count

  • Joined

  • Last visited

  • Days Won


bayessays last won the day on November 25 2019

bayessays had the most liked content!

1 Follower

About bayessays

  • Rank

Profile Information

  • Application Season
    2013 Fall

Recent Profile Visitors

7,392 profile views
  1. I would just ask them this, totally reasonable question.
  2. You'll have to look it up for each program - usually, if you have a degree from a US school, you can waive the test. If you attended University in a non-english speaking country, you'll probably have to take the TOEFL.
  3. Interesting. Usually there are a ton of people who post results on the results page (much more than participate in the forum). I wonder why that's not the case this year.
  4. Hey everyone, moderator here. There were a lot of complaints about RadNeuro's comments. They have been hidden and the user will no longer be able to post. For the sake of continuity of the thread and to prevent further derailment, I have deleted replies to his comments as well, even though some of them were very nice. Please continue about your discussions, and good luck to all of you!
  5. First Ohio State acceptance is up on the results page. Have any of you heard back from them? They usually send in waves over a couple weeks.
  6. There are hundreds of MS statistics programs in the US, and even more if you start talking about applied stat/biostat/data science/etc which you seem to be interested in. There are no rankings of MS programs, so it isn't possible to provide an easy answer to your question unless you narrow it down a little bit. I think you could apply anywhere if you raised your GRE score into the 160s. Even with your current score, you have a 4.0 from a US school with real analysis - I think you could probably apply to any non-elite program (not Stanford, Chicago, CMU, Ivy Leagues, etc) and have a good chance. I have seen some surprising results where people with good profiles get rejected, though. On the other hand, even some top MS programs like Michigan biostatistics admit a very large percentage of applicants. Some MS programs let in almost anyone who can pay.
  7. You're probably in good shape for most places, though it would really help if you could raise your GRE Q into 160s if you want to go to a top program.
  8. I would be reasonably surprised if you didn't get in everywhere.
  9. Usually some biostat programs and Ohio State start sending things out by now or soon, so hopefully we start getting some results later this week or next. Good luck, everyone!
  10. The most important things are grades, GRE and letters, so if you're set on those, I'm not sure there's a ton left to do. Going to a good MS program can definitely help you get letters from more known people, but if you have to pay for the degree, that's a lot of money for a small return. I'd apply to PhD programs and see how it goes. I'd also expand your range a little bit. There's some really solid programs in the 50-70 range too.
  11. I think with glowing letters that show things have really turned around, you could have some luck in the bottom end of the 50. Top programs are still probably going to worry that you couldn't hack it at a top school and that the MS isn't very rigorous. Your results will probably be mixed, but I think you'll find some success. Just as a warning though, I don't think industry is going to be what you are expecting. Research jobs are RARE - at places like Google and Facebook, there are only a couple statisticians doing research and those people could be/are professors at top schools if they wanted to be. The data scientist positions at these companies, which is probably nearly identical to what you're doing now, are the ones that are filled by people with PhDs in statistics. You'll have to be the judge of whether it's worth it to go to school to end up in a similar position to what you have now.
  12. https://projects.iq.harvard.edu/stat110 The handouts and practice/solutions tab have lots of good practice.
  13. Should I delete this? It's an interesting change of pace.
  14. The line between ML and statistics is pretty blurry, but if you want to do things like deep learning, computer vision, NLP, a CS department will probably be a better fit. You'll get plenty of practice doing things like linear models in statistics, if you consider that ML. There are obviously exceptions though.
  15. I'm not sure of the exact admissions data, but Berkeley has a biostat PhD with some very excellent crossover faculty like van der Laan that fit your research interests. If location is that important to you, it might make sense to apply to the biostat program (although I think the statistics program is bigger, and you definitely have a shot at it, so I'm not sure whether this is a good idea. UC Davis has a good program and is sort of nearby, and UCSC also has some really good people, but if you're open to going further from the Bay, you don't need to go to programs ranked this low. If you're staying in the US and want to go into industry though, you'll have good prospects coming from any decent PhD program, at least in the technology industry.
  • Create New...

Important Information

By using this site, you agree to our Terms of Use and Privacy Policy.