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GoPackGo89

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Everything posted by GoPackGo89

  1. We can make a list of top 15 right now and fill in what we know! I'm doing PhD admits (numbers are from Petersons.com or department pages) Rank | Program (stat/biostat) | Size of entering cohort: 1. Stanford (stats)- 10-12 2. Berkeley (stats) - 3. Harvard (biostats)- 15 enrolled in DrPH in 2014 3. Washington (biostats) - 20-30 offers to Masters and PhD applicants 5. Johns Hopkins (biostats) - 17 enrolled (from petersons.com, includes masters and PhD) 5. Chicago (stats) - 8-10 7. Harvard (stats) - From pettersons, 16 were admitted to the department of statistics (includes masters and phd) 7. Washington (stats) - 13 admitted to the department 9. Carnegie Mellon (stats) - 10. Duke (stats) - 10. Penn (stats) - 12. Michigan (biostats) - 12. Chapel Hill (biostats)- 15. NC State (stats) - 15. Texas A&M (stats) - 15. Berkeley (biostats) - <10 Michigan (stats) - 14-5
  2. Without knowing how funding goes it seems like a great way to save money. Find out who is willing to come work for free
  3. Barely related but michigan has a big data summer institute summer program. I'd think that supports the idea they are a good school for machine learning. Personally turning down a top 10 offer (if you like the school) to spend thousands for a top 5 is way risky
  4. If you haven't aready, it may help to ask this same question and provide the same information on the forums at: wilmot.com quantstart.com quantnet.com
  5. University of Nevada, Reno has a funded masters program. Everything is housed in the Mathematics and Statistics department. They also just started a PhD program in Mathematics as well as in 'Statistics and Data Science' so good changes should be happening at the masters level.
  6. It's my understanding that for math/stats/biostats the funding is through the department and not through individual faculty.
  7. I think Berkeley did the same thing but with only specific masters programs. I can't imagine it was due to lack of applicants. Maybe more funding than they thought?
  8. Good advice! Based on what you said it seems the only difference between you and Marmle (who has gotten 4 acceptances/waitlists in the top 10) is your undergrad institution (he lists top 35 undergrad). I wonder how much undergrad institution reputation is hurting. Also what upper level math courses did you take?
  9. The forum vets like cyberwulf, biostatprof ect will give you the best feedback but until then id say if you finish with As in thosr upper level classes and nail the GREs your list of schools is good. Check out Penn state and Minnesota too.
  10. Any guess when these rankings will be updated? Ever since I've referenced that list it has been from 2014 so I am not sure how often it is updated
  11. Maybe I should search harder but do biostatistics programs offer NIH training grants? Friend of mine just got into a microbiology program and they offered him a stipend and two year NIH training grant which sounds very awesome.
  12. Almost every elementary probability theory and statistics textbook will cover those topics. I used: Larsen and Marx An Introduction to Mathematical Statistics
  13. I wonder if programs are becoming increasingly competitive. Yikes
  14. Hey congrats on the acceptances! NCSU is a great school and one of my top choices as well! Depending on where you go maybe a change of location will help with your mental health!
  15. Assuming you continue doing well in your math classes I don't know how you wouldn't get into at least one of those masters programs
  16. If you are even thinking of pursuing a research job I think it would be a mistake to pass up the opportunity to go to a place like NCSU where their students not only consistently end up at top companies in industry but also find great positions in academia. At worst you decide a research job isn't for you and either finish your PhD at a great program or you drop with a masters depending on how far along you are. Check out the placement of NCSU and Minnesota PhDs, it's impressive. Just my two cents.
  17. That's interesting...similar to how when you put an item in your online shopping cart a few days later you might be sent a coupon or offered free shipping? Or did I misunderstand
  18. For those who have attended a SIBS, what was your experience like? What were the backgrounds of your peers? Those now in graduate school in stats or biostats, did you feel SIBS helped you prepare for grad school? Thanks for taking time to answer
  19. Those waiting to hear from NCSU would you mind sharing your profile?
  20. Are incoming classes at ivy league PhD's generally smaller than most schools? Are they more selective than say schools like Berkeley, Washington, UNC?
  21. I was hoping to get input on which course would be the best use of my time whether in terms of preparation for stats/biostats PhD, looking favorable to adcoms, or both. 1) Functional Analysis- Normed vector spaces, Banach and Hilbert spaces, linear functionals and operators, the Hahn-Banach, closed graph and uniform boundedness theorems with applications, dual spaces, self adjoint operators, compact operators 2) Multivariate Data Analysis (graduate course) - PCA, Factor analysis, SEM, cluster analysis, canonical correlation analysis, ect. 3) Measure Theory Thanks in advance for your time and recommendation!
  22. Would you, @cyberwulf or @footballman2399 mind elaborating on why @mcaleste isn't a top applicant? He has great grades in upper level math classes and assuming he gets an A in graduate real analysis there is another. Decent GRE scores, research experience which I am assuming will lead to great letters. I have looked at past profiles on this site for a year and mcaleste looks great to me. Just wondering what I am missing
  23. It's helpful for those that evaluate profiles if you list the grades in your math classes. If you're looking at this cycle for PhD programs take the GRE ASAP as priority funding deadlines are closing soon!
  24. He has As in the required courses and a strong biology background, what would it take for him to be a lock? More math?
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