biostatboi

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  1. You should contact the school for more information, but as far as I know, there is no thesis option for Biostatistics. Instead, MMath Biostatistics students prepare a 'Research Paper' which is given a numeric grade on their transcripts. I think MMath theses have an oral presentation component and typically you'll need to do a defense. See more info here: https://uwaterloo.ca/math/current-graduate-students/mmath-thesis-procedures You could also consider the MMath Statistics program which has both 'Research Paper' and 'Thesis' options. Although the thesis option has slightly fewer coursework requirements (4 courses instead of 7), 2 of them must be 900-level courses. The 900-level courses are presumably more advanced, and are not jointly held with undergraduate courses (whereas most 800-levels are held with 4th year undergraduates). I'm no authority on the subject, but my hunch is that the thesis option would be far better preparation for a PhD: you will spend more time doing original research, yet the courses that you do take will be more advanced. If you decide to go the MMath Statistics route, there shouldn't be any problems working with faculty members in Biostatistics since everyone's housed in the same department (again, better to ask the school). One last thing to consider: I'm not sure how it is at Pitt, but my impression is that American MS programs are typically unfunded and rather expensive. Waterloo will not admit you to a research-based masters without funding. The catch there is that getting admitted is slightly tougher.
  2. Specifically for PhD programs in Statistics, is there a consensus on when (if ever) extra letters of reference should be submitted? I have 5 potential letters, and I think they'll each be quite strong. If the schools I'm applying to allow for additional letters, do you think it's a good idea to submit all 5? It feels awkward talking about my research experience with a particular professor in my SOP and then not having a letter of reference from them. On the other hand, I don't want to irritate the committees with so many documents to read through. Let me know your thoughts. Thanks!
  3. Stat MS Profile Evaluation

    The University of Waterloo has a MMath program in Statistics with either thesis, research paper or coursework options. Funding is available to thesis and research paper students. I am not sure about coursework though. I also think it's possible to transition to a PhD if you find someone to supervise you. This might work in your favour since you say you are interested in a finance PhD, and the department at Waterloo has a lot of people working in Quantitative Finance and Actuarial Science (it is the department of Statistics and Actuarial Science after all). You can search for faculty and filter by research interest: https://uwaterloo.ca/statistics-and-actuarial-science/our-people
  4. A little update: I took the GRE scoring 161 and 158 on quantitative and verbal sections, respectively. This was frustrating as I took multiple practice tests and scored 165+ on Q consistently so I didn't study too much. Oh well, c'est la vie. Now the question is, how does this hurt my chances? It's possible but difficult for me to retake it. Should I just focus on Canadian and European schools?
  5. From the sounds of it, you go to Waterloo. If this is true, then while I agree that grade inflation is less of an issue here, I find it very hard to believe that "almost all" of your classes had averages in the low 60s. That may have been true in first or second year but in almost every math course I've taken past 200-levels, the average has been in the 70s (and maybe the occasional high 60). Just read that you're at UWO.
  6. Do you know which schools these might be? I remember reading somewhere that state schools prefer domestic applicants but I can't confirm that.
  7. Thanks for the reply. Yes I've checkout the previous threads and applicants with profiles similar to mine do pretty well. However, these are usually US applicants. Here in Canada, it is much easier to get in to grad school as a Canadian. I assumed that a similar phenomenon might exist in the US. Is this not the case?
  8. Hey, I am a Canadian looking to apply to (Bio)statistics programs for the Fall 2018 term. I think my profile would do pretty well at some Canadian universities, but I have no clue what my chances are at US universities and I don't want to spend too much money on a bunch of schools that will likely reject me. So here's my profile. Please let me know what you (honestly) think. Undergrad Institution: One of the big Math/Statistics schools in Canada (one of U of T, U of Waterloo, UBC) Major(s): Statistics and Math Minor(s): GPA: Cumulative: 3.89/4.0, Major: 3.93/4.0 Type of Student: Canadian Male Calculus 1-3 (A+, A, A-). Linear Algebra 1-2: (A, A-). Advanced calculus / introductory real analysis (A+). Abstract Algebra 1-2 (A+, A+). Mathematical Logic (A+). Mathematical Statistics (a la Bain/Engelhardt, A+). Regression (A+). Computational methods in Statistics (A+). Introductory stochastic processes (A+). I haven't taken the GREs yet. GRE General Test: N/A Q: V: W: Programs Applying: Statistics and Biostatistics Research Experience: One part time RA with a Statistics professor. One full time RA with a different Statistics professor. Awards/Honors/Recognitions: NSERC USRA (I believe this is similar to REUs in the US) Pertinent Activities or Jobs: Worked as a Software Engineer at a couple tech companies and as a Junior Statistician at a medical institution. Letters of Recommendation: Probably 4. Did research in some capacity with all 4. At least two of them should be very good. Any Miscellaneous Points that Might Help: Dropped a math course to make time for part-time research. This might be seen as a bad thing. Also, I am currently working on a paper but it likely won't be published until after I submit my application. However, one of my letters of rec will likely speak about it. Applying to Where: Have not decided yet. I'm looking for input here. I am heavily biased towards universities in (or close to) larger cities and schools that accept many applicants. As such, I've currently thought of: (All Statistics and/or Biostatistics PhD) Columbia Harvard UWashington-Seattle University of Minnesota - twin cities UCLA Boston University Emory North Carolina State University UChicago UPenn I'll also apply to a few Canadian schools. Thanks for your help!