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About edward130603

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  1. Profile Evaluation -- MS/PhD Stat Fall 2018

    would something like this be a better fit for you than stat? http://www.qmss.columbia.edu/
  2. https://www.usnews.com/best-graduate-schools/top-science-schools/statistics-rankings
  3. Best Path for Masters to Biostatistics?

    not sure about that. i'd assume it helps but i also know of some people who did very well in master's program at top school but still weren't admitted to the phd
  4. Profile Evaluation, Statistics PhD/MS

    outside the top few schools, a lot of admitted students do not have several analysis classes. duke and penn are probably going to be pretty low chances ncsu has more applied research, good industry connections and has lots of students who aren't fresh out of college i believe penn and unc are both more traditional (i.e. more theory) programs
  5. Best Path for Masters to Biostatistics?

    Assuming you get your grades around mid-late December, your initial application probably won't have your fall grades, but most schools accept an update so you can send that in as soon as you get your grades. You are probably competitive for any master's program (and I think lower top 10 phd programs too with a solid gre/grade in analysis).
  6. probably competitive for any master's program
  7. think 90th percentile+ scores will make you start to be competitive at schools like NC State, but would definitely also look at schools ranked below that
  8. I think your chances will not be very high at top 10 schools without improvement to the GRE score.
  9. Biostat MS Profile Evaluation

    I think you'll be fine since you have good grades in more advanced math classes.
  10. Notre Dame Statistics

    I would just go through the schools that are well-ranked and see which have applied stats MS programs. And see if they have good placements in industry. If the program isn't housed in a ranked statistics/other department, it probably isn't very good.
  11. Could I get into a Ph.D. program?

    I don't think lack of stat research is a huge deal. A few admitted students I talked to had 0 or fairly minimal research. What classes are you taking fall semester? Ideally, it would be real analysis, linear algebra, probability, but at the same time, that is a very tough courseload, especially if you are new to proof-based math courses. Your second semester courses/grades will not really matter since the grad schools won't see them during the admissions process. Don't think getting rec from an employer where you do something that's not really related to stats is good.
  12. 1. With a strong GRE score, I think pretty good shot at top 15 schools (e.g. ncsu/ mich). Not sure about berkeley (I didn't apply there). 2. No idea, haven't seen any profiles like that. From my experience as a standardized test tutor, students who spend ~3 mo. seriously studying and take ~8 prac tests have all gotten at least 90 percentile (more often 95+ percentile scores).
  13. but is your goal to get a phd or to get hypsm on your resume people applying for master's mostly won't even have a single real analysis class, while op has take 2 and gotten A+s I think this profile looks pretty good, but at this point I'm just curious how grade inflation is at Canadian schools. OP as well as the other post on front page from @statscan9 (also Canadian) both have nearly perfect GPAs, so either they are both truly exceptional students, or schools hand out free A's in Canada?
  14. i think your profile looks solid aside from the low gre scores, definitely would advise studying more and retaking
  15. Will you be able to take algebra, analysis, and probability? Linear algebra will probably be required. Analysis and probability will likely be somewhere between recommended and required depending on the school. Without these by the time you apply, you will not be successful at more competitive programs. I'd say only about half the incoming/prospective students I met at visit days were college seniors, so you definitely won't be out of place if you wait a year. I was always pretty interested in biology / public health (was pre-med before). I worked pretty closely with some biostatisticians in research and currently doing a data science internship at a big pharma company. I don't think doing biostat rules out more data sciency careers in your future. A lot of biostats depts do interesting research in statistical learning and big data, and pharma companies are looking to upgrade their informatics/machine learning capabilities now so the outlook is good imo.