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  1. I don't see any particular reason for that. The only prerequisite for the full treatment of Casella is an introductory probability course (which some freshmen take here). As a sophomore having done the full Casella + some of Lehmann, I can say with confidence that there was no point where I felt my background was lacking.
  2. I believe it is not too uncommon to see mathematical statistics taught with Casella/Berger in undergraduate programs. UCSD may be one such program, based on what I saw when I visited. It is a good introduction to statistics, but there are certainly books with the required about of mathematical rigor for research that are not seen until graduate-level programs, such as Lehmann. Although the statistics program is in the applied mathematics department, it is not quite at the level that the rest of the department would appear to be at, based on the NRC rankings.
  3. Wine, those exams look like something our undergraduates would take here in Boston U. I don't believe that passing these exams determines competency at the Master's level, even. Edit: Having taken a closer look, it seems like BU freshmen could easily ace that general qual. And sophomores could do the same with the stats exam. I agree. Red flag.
  4. Cyberwulf, I have some trouble wrapping my mind around the first half of your argument. While the math/stats department at my undergrad offers some PhD-level coursework, we do a significant part of our learning through supervised reading courses or reading groups. I was under the impression that most departments are the same way since few departments have the resources to offer a very wide range of electives. I was thinking that stony brook's program certainly offers "less" classes, but since graduate students in math and stats learn so much through focused readings, I do not see a lack of fix
  5. Can I raise again the question of why your boyfriend was interested enough in biostatistics departments to apply to them, if he is so dead-set on quant jobs now? There are financial mathematics programs that would probably prepare him better for such jobs. If he really, really wants to get a job in Wall Street, it seems like the program at SB will not provide an easy path to his goal, as all students who studied under the statistics faculty wound up in biostatistics positions. If he is given the freedom of working with the financial mathematicians and doing his coursework and and dissertation
  6. The way I do it is by asking faculty at my department about professors I'm interested in working with. I don't know of any other way, besides finding the H-index of each professor. Some biostats guys do get jobs as stats professors but they tend to come from more mathematical programs, so I've heard. I don't know about non-biostatistical placement outside of academia but I can try to find out if you'd like to know (not to sound like a broken record here, but job placement records will answer this question for you even better than any of us can). Was your boyfriend admitted to the gen
  7. This is absolutely correct. There are advisors at Ivy-league departments that are less-known than the faculty at, say, Florida. The institution by its own right does not say too much about the quality of the individual; there are many factors that determine this, but a strong advisor is more important than a strong department. What this says about your boyfriend's dilemma is that it seems like he will be doing biostatistics at either school. And biostatistics research does not necessarily lead to quant jobs on Wall Street, but neither does a statistical background. I would ask your boyfri
  8. At this point I don't feel that I can tell you which program is better unless you have a good list of job placement out of both programs; and this is something that your boyfriend and you can look at for yourselves. There are some pros/cons to both (although Ivy-league background does not mean stronger faculty). You have strong reasons to prefer the other program but job placements will say for sure.
  9. You mentioned that the other program he is considering is a biostatistics program; is it at a ranked or unranked biostatistics department, or is it, again, a part of another non-dedicated department? (Not that there is anything inherently wrong with this, as Boston U's reasonably strong statistics group is in the mathematics department as well; it just makes it harder to compare the relative strength of each quickly.) Would you be willing to give the name of the other school? I am hesitant to comment on the marketability of the Stony Brook name; again, it is certainly not Ivy, in a region rela
  10. I was told while visiting some programs that first-years mostly take the same courses that an MA student would take. Having directed reading afterwards in lieu of potentially irrelevant courses in different kinds of applied regression does not sound like a downside to the program on its own. Having seen the work being done by the statistics faculty at SB (it is all biostatistical), I would say that, if the other program has better job placement in the types of jobs your boyfriend is interested in, then he should attend the other program.
  11. I would not personally consider "self-learned" mathematics to be any less rigorous than "lectured" mathematics (especially if it is directed by a faculty member). In fact, directed reading tends to be far more productive for mathematics students than lectures... OP: I would suggest that your boyfriend ask the two departments what their (entire/recent) record of job placement is for their doctorate students.
  12. I don't think that Washington University has a statistics program (or rather I haven't heard of it before), and you hardly ever hear of Princeton's since it is tucked away in a different department. Are your uncle and father statistics Ph.D.'s? I know that in other very close fields, such as mathematics, it would be suspicious to hear of a program with no difference between MA and PhD coursework (in particular since a pure math MA isn't very common), but in biostats/some stats I feel that this is the norm. I could be wrong about that, but this is just what I've seen at the various departments
  13. Courses are not a very important part of a Ph.D. program. And it is certainly not uncommon to be able to graduate in three years or less if one already has graduate-level coursework completed. I was told at UF (ranked 22 on US News) and at UConn (ranked 40) that it might be possible for me to graduate in three years or less, even though I'm only about to complete my BA. This is because I have already taken measure-theoretic probability and Master's/Doctorate-level mathematical statistics at my undergraduate institution. Departments often have qualifying exams both at the end of the academ
  14. I definitely preferred the last school I visited. I'm not sure if it altered my opinion enough to convince me to commit to a school without visiting the others (especially when all of the visits are absolutely free), but it certainly made me think about the certain school more. Or it could be a consequence of my poor memory...
  15. Not sure if this applies to Canadian exam-takers, but as of ~June 2012, I've been able to use ScoreSelect to only send the scores I want to show to each institution. This means you can (realistically) take it as many times as you'd like and not send any scores but your very best, or you could even decide to not send your score at all. So it wouldn't hurt to try! Also, the Math GRE would not be a suitable replacement for a poor analysis grade. The GRE is a multiple-choice exam that doesn't assess your ability to work out proofs. Real analysis is really the standard for understanding an app
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