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theduckster

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theduckster last won the day on October 7

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About theduckster

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  1. Your profile looks great for Biostats. Where are you thinking of applying?
  2. theduckster

    Choosing a professor for a LOR

    Are you applying to PhD or Master's? If the latter (and you did well in the class), then it might help for the Stats professor to talk about it (though I'm not sure how much that would help since your grade is already there for everyone to see on your transcript). If PhD programs, definitely go with the quantitative marketing professor. He can speak to your overall character, intellectual curiosity, research habits, etc - all qualities that I would presume are heavily considered during applications. Regardless of programs, I would personally lean on the former professor than the latter. But go with your gut!
  3. Thank you for your comment @cyberwulf. In my case I am applying to Master's programs, so would the letter still be okay if the letter writer (a lecturer) is talking about my class performance as he taught the advanced math class?
  4. Thank you for your reply @ResilientDreams! I totally agree, but I am worried that the admissions committee will see it differently (even the faculty member in question warned me of this). Do any folks on this forum know how Statistics ad coms specifically would react in this situation?
  5. I took a really enjoyable advanced math class at my university (proof-intensive) and the teacher was a postdoc at the time (now a "lecturer", and not yet a professor). I know his status might harm the letter, but he was a great teacher and I am also pretty sure I ranked top 3 in the class (and he is aware of this and will bring it up in the letter if he writes it). My question is: Should I still get this letter given that he is only a lecturer? Will admissions committees take it seriously?
  6. Thanks for the help @CarolinaSmash! Since you've already done a lot of research (as I partially have), do you mind if I ask you for a list of great programs you've found that aren't either "cash cows"/schools that accept everyone, no questions asked, and schools that are a crapshoot? Having a great deal of difficulty finding such "target" schools since there are very few admissions statistics that I've found online
  7. Sorry if I'm asking a bit of a personal question here, but I am just really stressed with regards to picking schools. I am an odd applicant with great math grades but a poor major grade (non-Statistics/math major here), and I am unsure if the schools I am picking are all a reach or not (I've already got chanced but cue paranoid me - I feel that seeing live data would be more useful!) Moreover, I did some research online and it seems that some of these programs are more competetive than people are letting on, though there are also those "cash cow" programs that are giving everyone acceptances. Extremely hard to tell which is which from the program websites alone, hence another reason for my stress. If you felt comfortable posting some profile information and your previous acceptances/rejections to good-great schools for an MS in Statistics, then I would be extremely grateful! (I already went over to the previous admissions threads and most of the posts are with regards to PhD programs.) If not, then that's okay too! Have a great rest of your day, and good luck to all applying for programs commencing in Fall of 2019.
  8. I did some research in computational neuroscience that used a decent amount of math but have no completed research in statistics. Given that a lot of programs encourage applicants from outside of Statistics, how would such research experience be looked upon by admissions committees?
  9. Just wanted to make sure you were asking at least 2 people within Stats/Math department or related fields, instead of asking someone in, say, Middle Eastern Art.
  10. theduckster

    2019 Biostatistics MS Profile

    Wanted to change my above response to "You'll get into at least a couple of your schools". I was previously answering with the assumption you were applying to Master's in Statistics as opposed to Biostatistics (where the latter is less competetive and requires less mathematical rigor out of its applicants).
  11. theduckster

    2019 Biostatistics MS Profile

    Your GRE quant score is great, but your math grades are underwhelming to say the least. With those grades it is unlikely you will get into a top school as they are all highly competetive. I think you'll probably get into at least one school on your list (probably UC Denver), but it is my understanding that the posters on here are kind of understating the competetiveness of Master's apps. People are applying to Statistics Master's programs en masse nowadays while university resources have not similarly increased, and the only downward pressure on that trend is the strong job market (which in a way might be exacerbating that trend, since the strong job market has accelerated the posting of data scientist jobs that require a professional degree). Case in point: I literally just got back from an email thread where the Purdue office said their Master's acceptance rate hovers around 15-20% (Purdue for crying out loud!) In light of all this I strongly recommend you diversify your applications and add more mid-tier schools (possibly substituted in for some of the top schools where you stand little chance). Your best bet overall to maximize acceptances? Apply to programs that specifically encourage applicants from industry. You can highlight your actuarial exams and work experience to great effect there.
  12. Really? Interesting; this must vary vastly across departments. I've seen a PDF from a Stanford admissions committee member that LOR's can make or break an applicant as long as they are above a certain GPA/GRE threshold. In your experience, how do you distinguish applicants who are all within a relatively tight range of "qualified", academically speaking? Thank you for your insights!
  13. And if so, are they still very important or just somewhat important? Just curious.
  14. A Master's program is usually quite broad and applications seldom require you to pick an "area of interest". The latter is even true to some extent for PhD programs. Your GPA is great, but your GRE will definitely hurt you. Try to retake it and study hard. If you only have time to study one section, study for Quantitative.
  15. Who are the recommendations from if you don't mind me asking? (General info, not personal details.)
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