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About BL250604

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    Double Shot

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  • Program
    Statistics Ph.D.

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  1. I personally looked (only) at the Dell XPS and the MacBook Pro. My MacBook Pro is the 13" that I upgraded. A lot of students in my cohort love the Thinkpads. I think those are the three most popular in my cohort. I know other students that have the surface (or some variety of the surface), but I don't know much about it.
  2. Absolutely. I have 16 GB for that exact reason. I think 8 GB could do just fine, but for the minimal upgrade charge, I upped it to be safe. I'd say that 16GB i7 or better is probably the best way to go. That tends to be pretty standard with some of the more heavy duty models, so there should be plenty of options for the OP.
  3. I agree with @StatsG0d. Frankly, as long as your computer is fast enough to run some code for research and big problem sets, you're fine. For some of the heavier research you'll be doing, you'll be sending it to the cluster, at least in my department. Get a laptop you'd like. I got a MacBook Pro with the student discounts and upgraded it. I love it, and have always been an Apple user so I prefer the macs for many reasons. Takeaway: Get something you want that's light, fast (enough) and won't cripple you financially. As long as you don't mistreat it or download some seedy parts of the internet, you'll be okay.
  4. Usually I would say a score that is solidly within the 80's (as a %ile), or above, will always improve your chances. Unfortunately, at the top schools, most folks will have very solid scores, but I think that a score in the mid 80%ile or above will certainly boost your already solid profile!
  5. You have a very solid profile, I think your list is fine. If your MGRE score is good (worth taking with your profile imo), you could even aim for the tippy top departments.
  6. Can't agree with this more. That being said, there are very good cost of living calculators. For instance, the south is incredibly cheap compared to the north east and west coast. A stipend of $1800 - 2500 can get you a very nice apartment (without roommates) and gives you money for things you enjoy down south, while in other places, that can barely cover housing. Just another thing to think about, while you're looking into the matter.
  7. Yup, I agree. You're in some great programs, no need to even consider an unfunded offer, even from a school like UNC. Pick a program you like with research areas you like and you'll be happy.
  8. I can't echo @bayessays's sentiments more. It's imperative, during this time to explore! Really make sure you want to do statistics, and if you do, start your research early. It appears you've been looking into programs already, which is great. Try and read up on things to see if they interest you. If they do, you might want to consider those as potential research areas that you will look for in programs. But, at the end of the day, it's perfectly fine to not know what you want to do research in! Plenty of people change their minds, as well, so be open-minded and find a place that fits your interests, needs and goals.
  9. Here is the foreign language requirement, check under "Language Requirement." It seems now you may choose a "computer language," however this was not the case when I spoke with the department before my application cycle. https://www.stat.rutgers.edu/graduate-academics/phd-degree-program
  10. They have a strong industry focus but are a very solid department. Last time I checked, I believe they still had a foreign language requirement? I'm not positive, however if that still remains... I know some of the professors there are and some grad students as I have a connection with DIMACS at Rutgers.
  11. I think also a school like South Carolina would be worth a look. if you have questions about it, feel free to reach out. I think it fits into your range, and fits your southern disposition. Virginia tech also may be worthwhile. Perhaps George Mason as well. Or, some of the UNC- schools are worth a shot, such as UNC-G, UNC-W, etc.
  12. Did your program also have a separate class on more advanced statistical computing? We go through Casella Berger (1-5 in Semester 1 as well) but stay pretty far down in the theory and actually briefly cover E-M lasso, etc.. We have a year long (required) sequence in measure theoretic probability (Billingsley + Resnick, and others) which goes further into the theory. But, we also have another required course that is essentially dedicated to computing methods such as E-M, MCMC, Optimization methods, Bootstrapping, etc. It certainly gives you different flavors of everything and keeps things pretty compartmentalized at the first year level. Just curious to see how your program compares/compared!
  13. I respectively disagree. I got into a handful of top masters programs (5/6) and only into 6/14 ph.d. programs. I'd be willing to argue that masters programs are far less competitive. All of my 6 M.S. applications were to top 15 schools, 3 of which were top top tier (Yale, NYU, Columbia, etc.)
  14. I wouldn't exactly say this is the case. You get paid a living wage to work very hard and grapple with complex ideas. Reading wiki, while sometimes is a supplement, is certainly not the main activity of a Ph.D. candidate in Statistics.
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