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poopyhead

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About poopyhead

  • Rank
    Espresso Shot

Profile Information

  • Gender
  • Location
    United States
  • Application Season
    2017 Fall
  • Program
    CS, Data Science, Statistics
  1. If you're interested in statistics, have you thought about machine learning (or deep learning) or big data management/analysis?
  2. What are your research interests? I'm guessing robotics and AI are one of them?
  3. It looks like someone just posted a rejection from the UMD iSchool PhD program. However, when I checked my application status, it still says "under departmental review." Has anyone else heard back?
  4. I applied to their INSTORE program and am still waiting for an official response. However, I emailed them a few weeks ago and they said they already sent out their first round of acceptances and probably won't be sending out any more (although if enough people pass on their offers then they will).
  5. Already shared in the other thread, but oh well. Undergrad Institution: Private top-tier research university in the US. Often ranked #1 in applied mathematics. Also known for not having a statistics department. Major(s): Mathematics, Physics. Minor(s): None! GPA: 3.2 Type of Student: Domestic male GRE General Test: Q: 170 V: 164 W: 5.0 GRE Subject Test in Mathematics: M: 670 (did not send anywhere) TOEFL Score: N/A Grad Institution (MS): Tiny state school, doesn't provide a PhD in mathematics or statistics Concentration:Mathematics GPA: 4.0 Programs Applying: Statistics, Machine Learning, Data Science Research Experience: Tiny research project over the summer as an undergrad, no publication, involved stochastic modeling of problems derived from physics. 15 month research assistantship at a data science research center that's contracted by the USDA, paid for tuition and living expenses while doing my MS, no publication. Awards/Honors/Recognitions: $25,000 stipend + $2000 scholarship that got me through my MS. Pertinent Activities or Jobs: Taught at a public high school for a year after finishing undergrad. Worked at DEKA as a QA software engineer/developer for a bit before starting grad school. Worked as a data mining research assistant while at grad school. Currently employed as a data scientist at a San Francisco data science startup that was bought out a couple years back. Current job is research-oriented (as far as industry work goes, anyway). Letters of Recommendation: One from my current boss, two from professors from my MS program, one of whom I keep in touch with regularly (we're Facebook friends). Applying to Where (Stats and related only): New York University, Data Science Waiting (but definitely a rejection since I wasn't invited to the campus visit event) Stanford University, ICME Rejected Indiana University, Statistical Science Rejected (but accepted to the MS program) UNC INSTORE Waiting (but notified that they already sent out their first round of acceptances) Also applied to Computer Science and Information Science programs
  6. Congrats! Do you know if their PhD program already sent out acceptances?
  7. Sorry about that, I realized that my original post was quite ranty and pessimistic, so I tried to reword it in a more neutral tone without changing the question. To address the rest of your post: I would say I'm definitely happy with where I am right now in my career. I have a research-based job in data science, and if I happen to leave my current job I'm confident that I have the necessary background and experience to find another data science position with ease. I've been working for several years now and I have a good idea of where I stand. That said, I'm looking to join a PhD program not because I'm looking to advance my career but because there's so much research going on in applied statistics and data science that I want to participate in. I'm especially interested in data science/quantitative methods in the social sciences and text mining. I'm well aware that as far as my career and financial gain are concerned, a PhD would be detrimental compared to gaining 5 years' worth of industry experience. That's also why I didn't apply to any MS programs--most of them are career/industry-focused rather than research-focused, and I don't think I have much to gain from additional schooling in that regard. I'm going to ask, although my suspicion is that they'll say something like, "there's no way to know until August." I guess I could, but I don't know if I want to go through this (very painful) process again ... It was also kinda awkward asking my boss for recommendation letters (basically asking for his blessing to pursue another job that may or may not happen and if it doesn't happen just continue working at my current job as though nothing had happened), and I can see that being even more true the second time around. Anyway, I'm sounding ranty/whiny again ... I guess my best move right now is to just keep at it at work and then choose whether to try applying again by sometime around August of this year?
  8. There's one program that was high on my list (Indiana University, Statistics) that recently rejected my PhD application but offered me a spot on their MS program. Normally I'd say no--I have a MS already as well as a job in data science (that listed having a MS as a minimum requirement in the job listing when I originally applied). But I'm on the fence for two reasons: Apparently most PhD students at this program were MS students at this department--it seems like they look mostly at their MS students when choosing PhD students They said teaching assistantships "might" be available for MS students. I can't afford to go to grad school without some type of assistantship + tuition waiver, which normally isn't available to MS students. So do you think it's worth going for it? Or should I consider other options?
  9. Given that Andrew Gelman is at Columbia, I'd expect that they're very much Bayesian. That said, if you're one of 320 MS students (assuming it's a two year program), good luck getting any time with him.
  10. Well, I mean, I didn't get in anywhere, so ...
  11. Well, I also applied to some CS and IS programs. Like I said, there's still one IS program I'm waiting on, although I'm not optimistic about my chances. There were two issues with applying to more programs: 1. At ~$100 per application, it was a big financial burden, and 2. I failed to get in touch with/get a response from professors from the majority of schools I was considering (although I did apply to some places where I did not receive any responses anyway).
  12. Welp, it's (nearly) official, I won't be going to grad school for math/stats. There's still one program I'm waiting on, but it's in information systems, and given how late in the cycle it is now, I'm not exactly hoping for the best. Graduate Application Summary/Retrospective Undergraduate background: Top tier private research university (often times ranked #1 in applied mathematics). Weak GPA of 3.2. Majors in mathematics and physics. Had a brief funded summer research project in applied mathematics/stochastic modeling (no publication). Graduate background: MS mathematics at a small state school, GPA 4.0. Completed in 15 months (summer-fall-spring-summer) with a $25k research stipend, which involved working with a government-contracted data science center. Industry experience: Taught mathematics at a public high school for a year. Briefly worked at a robotics and medical devices company writing automated QA tests. Currently working as a data scientist. GRE: 170 Q, 164 V, 5.0 AW, 670 math subject (took this as an undergrad, did not send anywhere) Recommendations: Two from professors from my MS program with whom I still am in contact, one from my current boss Acceptances (math/stats and related only): None Rejections (math/stats and related only): Stanford ICME, Indiana University Bloomington Statistics (offered a spot on their MS program with teaching assistantship but I won't be going since I already have a MS) Waiting but are basically rejections given Survey data and contact with department (math/stats and related only): UNC Chapel Hill Stats/OR, NYU GSAS Data Science All in all, I thought I had a decent chance of getting in somewhere. I guess I just wasn't meant for academia. /rant
  13. 1. Should you get a PhD? If your interest is in research, then yes. If not, no. Don't be tempted by the fact that many job posts list PhD as "recommended"--you'll get more out of 5 years' industry experience than a PhD if your main goal isn't research. A MS might still be worthwhile (but also extremely expensive). 2. Should you get a PhD in statistics? You're going to have to look at programs on a case-by-case basis. Two statistics departments could end up being very different in terms of what they research. Find the ones that does the kind of research that you're looking to do (deciding which programs to apply to is already not a simple task). In your case, expand the search to computer science, information science/informatics, IE/OR, and applied mathematics programs that specialize in data science, machine learning, and "big data." There are even data science doctorate degrees now (see: NYU, WPI).
  14. Thanks for the info. I wonder who that lone acceptance is from ...
  15. Tandon. I also applied to GSAS (data science PhD) and haven't heard back, which is essentially a rejection since they already had their invitational on-campus event.