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dmacfour

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About dmacfour

Profile Information

  • Location
    Soon to be Colorado
  • Application Season
    2018 Fall
  • Program
    Applied Statistics

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  1. dmacfour

    Unconventional background

    I have a masters in psych and went in to statistics. Same reasons for you. You'll have to take the entire calc series and linear algebra to get in to most programs (even the applied statistics program I went in to). Even after that, I felt barely prepared for the theory sequence in my program. If you want to a theory heavy masters (which you'll want to do if you're interested in a PhD), then you'll probably want to take a lot more math than that. By the way, what's your endgame for getting a PhD in stats? What academic statisticians do can be quite a bit different than what you're doing as an analyst and how you use stats in research. I chose the applied stats route because it better lined up with my career goals.
  2. I finished my first masters at 24, and I'm finishing up a second this year in applied statistics at 30. I'm researching PhD programs in Quantitative Psych and Applied Statistics, but I want to spend several years working as a statistician or data scientist before applying.
  3. We all were, but we weren't getting many call backs. This was in 2013 so it's possible that things have changed a bit since then.
  4. Man, that would have been nice. Only one person in my cohort had a job lined up (at a place he was already working). The rest of us took 1-2 years to land jobs. I think location had something to do with it - the closest major city was 6 hours away, and it had a small market for UX and HF.
  5. Do you know of any resources on placement rates in HF? Only about half of my cohort managed to break into HF or UX after graduating, and I'm wondering if that's part of a larger trend. The ones who broke into the field have awesome jobs, but they had to fight tooth and nail to get them.
  6. What do you mean by "pretty damn high"? In my current masters program that means that you're doing a lot of mathematical proofs, but in my previous masters program that meant that you used calculus and linear algebra. I'm wondering if I need to take more proof based classes (like real analysis) to excel in a quant psych program.
  7. As of this summer I'll have masters degrees in both applied statistics and experimental psychology, and the idea of bringing those two domains together for a PhD is very appealing. That being said, I don't know much about the field yet and was wondering if anyone here could answer a few questions: 1. What does the profile of a competitive applicant look like? 2. What are some hot areas of research to consider? 3. What level of mathematical ability is recommended to excel in a quant psych program?
  8. dmacfour

    should i withdraw from real analysis?

    For what it's worth, I have at least 7 W's on my transcript and I didn't stop me from being admitted to grad school for psychology or for statistics. In my opinion, there's a lot more room for justifying a W than there is for a grade less than a C.
  9. I installed Linux over winter break and haven't had a reason to boot Windows back up. The biggest annoyance I've encountered is that Adobe Acrobat and MS Office have no Linux support. Another annoyance is that Ubuntu doesn't have a tablet mode like Windows does. Not a problem if you're okay with open source alternatives. R seems to run a hell of a lot faster on Linux than it did on Windows. I would explore virtualizing Windows if you need it for a particular task.
  10. I think people seriously overestimate how bad W's look. I have several and I've never been asked about it.
  11. Have you taken multivariable calc? That would be calc III at most schools in the US, not sure how it's split up in Canada though. If you haven't I'd see if you could take it to bolster your math grades. the B, B-, and C+ in your math classes might cause you problems.
  12. dmacfour

    Non-traditional PhD students?

    Non-tradition kind of loses its meaning when talking about grad school. I'd guess that about two thirds of the students in my program are fresh out of undergrad and one third are between 25 and 40 years old. I'll be 30 in a couple of months (holy crap!).
  13. One thing that influenced my decision: Even though statistics and data science are the hot thing right now, do I really want to wait 5+ years to enter the field? I've already experienced starting school when a field was hot and graduating (with no work experience) after it was saturated. I'm not willing to go through that again so I'm going to work for a few years after getting my masters and then evaluate where I am at.
  14. I took a linear algebra class that said it was computational, but you couldn't tell that from the transcript and there were proofs on just about every page of the textbook. You could do what I did and study the proofs, even if they aren't required.
  15. One of the bigger considerations is if it's applied or not. Applied statistics programs replace a lot of the theory with programming, consulting, and projects. This is good if you want to go straight into industry, but doesn't help you much if you want to get a PhD. I chose an applied program because it fit in with my career goals. Pay attention to the prereqs if you're looking at applied stats programs. Some have the same requirements as regular stats programs, and others require very little math (a single semester of calc). The applied program I'm in is using multivariable calc and linear algebra from day one, so I'm skeptical of what the programs with fewer requirements are teaching students.
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