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theduckster last won the day on October 7 2018

theduckster had the most liked content!

About theduckster

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  1. theduckster

    Fall 2019 Statistics Applicant Thread

    Rejected by Yale for MA Statistics. @ducky500 hopefully you have better luck!!
  2. theduckster

    Fall 2019 Statistics Applicant Thread

    @StuartLittle I'm in the same boat as ducky500. You were mentioning something about different "waves" of acceptances for Yale MA Statistics; is it really typical for there to be multiple waves like this, and if so how are they spaced apart? Thanks!! Looking through the "Results" thread it seems like most previous admits received their acceptances late Jan/early Feb, so I'm not too thrilled about my chances at this point...
  3. theduckster

    School Prestige for Industry

    @fireuponthedeep I'd be careful about making implications like "PhDs dominate the top of X industry" ==> "Getting a PhD will help me climb up X industry". Lots of correlation vs. causation issues here, plus confirmation bias. Most billionaires have somewhat eccentric backgrounds, but doesn't mean we should start emulating them in that regard! The biggest cost with PhD is opportunity cost. Those are six years where, if you had stayed in industry, you could have gained valuable experience, a fair amount of money, and moved up the corporate ladder. But if you truly love research and want a research-based position, then going for a PhD makes complete sense.
  4. theduckster

    PhD vs. Microsoft applied scientist

    I would also be shocked if Microsoft didn't help fund your PhD (conditional upon your return to Microsoft as research scientist, of course). They clearly want you and see your potential as a researcher, so it would be a winning strategy for them to hire you up front and incentivize you to join them after completing your PhD. Seems like a no brainer to accept the job, but that's just me
  5. theduckster

    Fall 2019 Statistics Applicant Thread

    Wow. If UC Irvine got 400 applicants, then how would they be whittling that number down? Over-accepting using predictions based on yield, or just having a historically low acceptance rate and pulling people off the waiting list later?
  6. Basically, I am asking if I have the green light to go full "Senioritis".... ....All joking aside, the reason I ask is so that I can see how to prioritize the various things I might have on hand for the remaining semester (such as internship apps and extracurriculars). Is a B the end of the world? What about a C? None of my remaining courses are math/stat courses, to provide additional context for answering the question. Thanks!!
  7. theduckster

    Rec letter from non-math professor?

    As others will tell you, you should always go for the professor/faculty member that has directly worked with you and can say something strong about you. If a letter is just reiterating your transcript or CV, then it will probably be next to useless (unless the letter writer is a really good embellisher). Just make sure that at least one of your recommenders is a tenure-track professor (or academically-known individual) in a quantitative discipline. It seems like you've already got that covered, so no worries here.
  8. UIUC is very well known by large tech companies. It is a top 5 school in computer science for crying out loud!
  9. theduckster

    Whether to Report Fall Grades

    Agreed with bayessays. Also, if a school explcitly asks you for your fall grades and you omit them, then it might look like you are deliberately hiding something (like a semester of Fs). It's not worth that risk over one B+.
  10. theduckster

    Fall 2019 Statistics Applicant Thread

    Congrats to everyone who has gotten acceptances already, and for those of you who haven't keep your heads up - you'll get them soon! I have to admit that I am more than a little jealous as an MS applicant that you folks are getting your results in so early
  11. theduckster


    Is there any specific reason as to why you want to do a Master's in Math? Perhaps a Master's in Applied Math may suit you better, since you performed better in more applied-type classes. The latter is far more applicable in industry anyways, whereas the former only brings to mind PhD dropouts and those who want to go into math education. To be honest, I'm not familiar with the competetiveness of these programs but I think you almost certainly have a shot at some mid-tier schools, most likely the ones that are cash cows. Find those mid-tier programs that advertise themselves ad nauseam and you'll probably get in. If you want to improve your odds, I'd strongly recommend studying for the GRE Math Subject test and getting a percentile of at least 70%. This might convince a couple ad coms that your grades in math are to some extent flukes, and that you are actually qualified for a Master's in the subject.
  12. theduckster

    2019 Statistics MS profile evaluation.

    It's tough to say, but I think you have a strong chance at all California schools except Berkeley and Stanford. UCLA would normally be tricky (since they apparently get a lot of applicants), but since you already did undergrad there and did so with a high math GPA I would be shocked if they didn't accept you. I think you may also have a shot at Berkeley and Stanford. Do you have strong letters of recommendation as well as an A in Real Analysis and/or grad-level quantitative classes? Or perhaps an elite data science/tech internship? Any one of those (especially the first and last) would help tremendously with getting into the top MS programs. Edit: I just looked at your earlier post. Congrats on improving your GRE scores! And you should definitely still apply to Berkeley/Stanford, as I still think you have a shot.
  13. theduckster

    Prestige vs. Fit

    Stat PhD's answer is great. I want to add that if you are set on joining industry, prestige matters a lot more than it does in academic hiring.
  14. Many of my apps allow applicants to update materials, but I am a bit concerned that since my Fall grades are only posted around the 28th, programs might not consider them that late in the cycle. A minor concern, of course, but a concern nonetheless.
  15. theduckster

    Effect of Low Real Analysis Grade?

    It's hard to say that any school will be "off the table". The B in Real Analysis will be a major ding for the top PhD programs (and a minor ding for other programs), but nothing that can't be overcome with strong letters/research. You already have strong math grades elsewhere (including in proof-based classes) as well as a 170 on the Quant section of the GRE, so I think you will almost certainly be competetive at good programs provided you have sound letters and some research experience. For an MS? A B in a Real Analysis will almost certainly be considered as a plus by all but Berkeley/Stanford, who will at worst view it neutrally (or slightly negatively). Nothing to sweat about here. And some words of encouragement, if I may: You should hold your head up high for getting a B in Real Analysis. It's a difficult class (even for most pure math majors), but you chose to persevere through it despite not technically needing to for many programs (especially MS programs). Keep your head up high and know that you are on track to getting into some very respectable programs, something that most people won't be able to say for themselves!

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