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Bruin123

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Everything posted by Bruin123

  1. Bruin123

    NDSEG fellowship

    Well in that case, congrats to the winners!
  2. Bruin123

    NDSEG fellowship

    I'm starting to think it didn't happen...
  3. Bruin123

    NDSEG fellowship

    They could make it up to us by giving us all fellowships on Monday.
  4. Bruin123

    NDSEG fellowship

    169 Now 180...
  5. Bruin123

    NDSEG fellowship

    You're absolutely right! Oh wait, I'm on the west coast... at least it'll be 5 o'clock somewhere!
  6. Bruin123

    NDSEG fellowship

    Looking at past years notices, they seem to be emailed out during business hours. Probably just at the tail end of them this year. You know, it's too bad the notices tend to be when I'm at work/in class. I like the idea from the NSF GRFP forum suggesting that we take a drink every time we get an email that's not a notification.
  7. Bruin123

    NDSEG fellowship

    100 viewing!! Yay for not being alone in anticipation! Good luck everyone!
  8. Bruin123

    NDSEG fellowship

    I'm in class (17 people in the room), constantly refreshing this page on my smartphone. I feel bad for being rude...but paying attention is proving difficult.
  9. Bruin123

    NDSEG fellowship

    80 watching now...
  10. Bruin123

    NDSEG fellowship

    2:04 EST
  11. Bruin123

    NDSEG fellowship

    Wow, 72 people watching. It's a new record!
  12. Bruin123

    NDSEG fellowship

    From past forums, it appears that they send them out over the course of several hours. But maybe they'll have mercy on us.
  13. Bruin123

    NDSEG fellowship

    True, we're a smaller bunch. And sure, most of us watching this forum with enthusiasm likely faced recent rejection. The other side of it is that the fields eligible for the NDSEG are more likely to fund graduate students in general, as opposed to the NSF funding everyone from engineering to population ecology, anthropology, and psychology, many fields of which departmental funding is sparse. Many NDSEG applicants don't HAVE to have the money from outside to attend grad school. At least that's my thought in why this forum is less active....
  14. As far as programming languages go, R is a great one to know in statistics, and that will boost your application. The math GRE is intense on higher level mathematics (like analysis), so unless you think you can do exceptionally well on this test, I would focus more on bring up your regular GRE quant section first. As far as coursework goes, if you pick out a program you are interested, you can always call/email and ask if they recommend retaking any of the courses. I would say the C's and D's on your transcript in the core math/stats classes probably want to be brought up to an A/B level, but it also depends on which school you want to go to. Also check out the Summer Institute for Training in Biostatistics (SIBS) offered at many universities; these can be great experiences that will aid in an application to any biostatistics program, as well as give you a feel for what biostatistics is really all about. The other suggestion is to find opportunities to gain experience in using statistics in applied settings (like an internship). If you don't have the best math grades, it's not the end of the world, but most departments are going to want to know that you can handle the coursework and the challenges that the department has to offer, and you can show this in having successful experiences involving statistics outside the classroom. Hope this helps, and good luck!
  15. Often, a MS in Biostatistics with 5+ years of experience is considered to be roughly equivalent to a PhD when applying for jobs in industry. However, the potential for promotions is less for MS holders than for PhD. There is no shortage of jobs, however, for either degree as of yet. I would disagree partially with an above comment that degrees in pure statistics are more preferred than biostatistics; the strength of the department in the particular school matters more. For example, the Johns Hopkins, UW, Harvard, and UNC Biostatistics departments are all considered "better" than the pure statistics counterparts at the same university. Pretty much any of the top 10-15 biostatistics departments are excellent for finding a job after graduation. If you know you want to work in the health care, health insurance, pharmaceutical, or biotech industries, there are many courses in biostatistics that will prepare you better for the specific types of analysis in these fields.
  16. Nope, it opens a .pdf in another tab of my browser.
  17. Got my rating sheets. VG/VG, VG/VG, VG/VG yielded me an honorable mention. Only one reviewer actually included criticisms (completely constructive, not destructive, which is nice to my ego). Basically said I need to demonstrate how I intend to publish my research (because I haven't yet, only presentations), integrate education with research, broaden opportunities, and up the diversity. Those are fair assessments in my book. While it's great to see mostly nice things said, it would be nice to know why I got VG instead of E from the other two reviewers. Oh well, I would say there's always next year, but I'm a second year grad student. At least I feel honored by the HM. How did everyone else's rating sheets turn out?
  18. Try it again, mine was doing the same thing, but they're now up.
  19. Honorable mention as well, but hey, it's better than nothing! Congrats to all who got it!
  20. 299 viewing... we can break 300!! and apparently we did it....
  21. 222!!
  22. Depending on your area of statistics, major preference is actually given to domestic students. The bias is introduced by the fact that most of the students applying for statistics/biostatistics PhD programs are international students. In my field, biostatistics, the faculty on the admissions committees tend to actually weight more heavily communication skills in English and passion for the subject than just pure mathematics skills, and I know this to be true of several pure statistics departments as well. Being a domestic minority and female will probably work in your favor when applying to graduate programs, not against you. In regards to the math background, in my specific department, if the math/academic/statistics background is lacking for the PhD, many times they'll accept a PhD applicant to the MS program (and later the student can apply to transfer to the PhD after demonstrating success in the MS).
  23. I could be representin either NH (high school), CA (college/grad school), or Arkansas (wrote about growing up there in my personal essay). Here's to hoping NSF counts me as being from AR!
  24. To get into a decent MS program. The only required math is generally Calc I, II, and III, diff eq, and linear algebra. It is recommended that you know at least one programming language, but it surprisingly not required to have taken a statistics course (although it is highly recommended). Obviously decent grades in math/CS classes are essential, but admissions committees in Biostats also place a heavy emphasis on communications skills. Depending on the university, good grades in the MS is usually adequate preparation for a PhD with the exception of an additional course or two in real analysis.
  25. Congrats! You really can't go wrong with UNC, Berkeley or Hopkins. Berkeley has the best theoretical stats program (tied with Stanford), but it's biostats program does get hurt by the fact there is no med school on campus (thus fewer opportunities for applied research). From what I've heard about Hopkins program, it is very methodology intensive, but there are tons of opportunities for applied research as well. I hear UNC is fantastic (I also hear it is quite intense and difficult), and it's a great place to go if you are interested in going into industry. My advice is to look specifically at what you want to do and look at professor research interests and collaboratve research opportunities at each school to find some of the best matches. And compare the funding offers with cost of living in each area.
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