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bayessays

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bayessays last won the day on August 12

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About bayessays

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  1. Your route to a PhD program is going to be pretty tough and you would definitely need a MS first to have a chance at getting in. You need to prove that you can get As in classes like real analysis and a MS-level prob/stat class. You also need to improve your GREQ significantly - as of now, you might struggle getting into an MS program. I don't really see a route for you getting into a ranked program. I do not want to sound condescending here, so please do not take this the wrong way, but have you looked at what getting a statistics PhD really entails? You will be doing advanced math, orders of magnitude harder than your undergraduate classes, for hours every day. Some people get Cs in undergrad math classes because they're lazy, or a 157 on their GREQ because they have trouble taking tests, but if these are truly representative of your math ability, a PhD in statistics is not going to go well. Many people (who got all As in undergrad and high GRE scores) start a PhD in statistics because they like analyzing data and then end up quitting because they can't handle the math. I don't want you to waste years of your life and $50-100k getting a masters degree that won't help you.
  2. I think Washington is going to be a huge reach for you and probably not obtainable. Your upward trend in grades helps a lot. A school like Michigan is probably a more obtainable reach - they have a lot of imaging people though, so I'd stress your interest in that. I could see you getting into a few of those schools, but honestly, I could also see any or all of them rejecting you because of your GPA - and your research experience is good but won't make you stand out in a way that makes up for that. My recommendation would be to nix Washington from your list and add a few schools slightly lower in the rankings as safer options. I would also consider if you could get a funded master's at any of these schools - if you can continue your trend of grades by doing awesome at a MS program, maybe getting a paper published, I could see that improving your results immensely.
  3. If you haven't done so already, you'll get better advice about math programs on mathematics GRE forum, this tends to be mostly statisticians here. Do you have any interest in statistics? There are some probabilists in the top few programs (Berkeley, Chicago, some other top 10 programs) and some lower ranked programs (UNC, Michigan State, maybe Yale) have some probabilists. A lot of departments will have one or two faculty members who still do probability, but it's really not a big thing. If you don't have any interest in being a statistician, a math program will probably fit you better. That being said, I'd look at those programs I mentioned. With a good profile, schools like Chicago and Berkeley might be obtainable and you could probably be happy there.
  4. Casella and Berger is the core of your first year of courses in a MS/PhD program and will be theory-based. I'd recommend you take that because it will 100% help you in a PhD program. Machine learning is likely to be more of a survey course with some applications and coding. It might help you become familiar with some common methods and get some experience coding, but it's unlikely to provide that base of knowledge that will help you in a PhD program. On the other hand, it is always helpful to know the ML buzzwords if you want an industry data science job. I highly doubt an undergraduate ML course will go into much depth of the theory.
  5. Looks reasonable to me. I'd be pretty surprised if you didn't get into Iowa State, Purdue and Illinois, but they are good schools so I wouldn't say you have any true safeties on your list. Most programs will have an option asking if you'd like to be considered for their master's if you aren't accepted to the PhD and you can simply check that box. I don't see a master's degree helping your profile much and wouldn't recommend it unless you are independently wealthy. Since a MS takes two years and the PhD program that accepts you will at most only transfer one year of those courses, you are equally well off just reapplying if you aren't happy with your results. Instead of worrying about masters programs, I'd add another couple big programs in the match range (think OSU, TAMU, PSU) and a few lower ranked schools or biostat programs.
  6. It's hard to say exactly without knowing the extent of your communication and how interested they seem. I'd lean towards expressing how interested you are and asking what you can do to improve your chances and stand out to the admissions committee, which would lead into that sort of conversation where they might say "I'll let them know we have talked and there seems to be a good match." Asking someone you don't know well to put in a good word might be too forward and come off poorly, but if they have agreed to fund you with their money, obviously they would let the adcom know that. I'd use your judgement and steer the conversation by asking what you can do and seeing how they respond to that.
  7. I think you're doing the right thing already by trying to become more than a number to them and forming those relationships. Unfortunately, the funding situation in Canada heavily favors Canadian citizens and permanent residents, much more than US programs. My only suggestion is to keep doing what you're doing. If it's possible, you may be able to apply for Canadian permanent residence in the meantime and if you don't get in, you can reapply after getting PR when you are easy to fund.
  8. Brown doesn't have a statistics PhD program, so I'm not sure which program you're referring to (applied math probably? Biostat?) I definitely would not submit your subject GRE score. I'm going to be a lot less optimistic than the above. I think your 161 GRE Q is going to really hold you back. Yes, you have good grades, but grad-level course grades are known to be heavily inflated. As said above, this would be mitigated if you were taking grad classes at Harvard, but not so much if you're at Villanova (49). I could maybe see a big school like TAMU taking a chance on you, but I think you're going to struggle getting into a top 20 program with a 161. I would do whatever possible to raise that score - even a 163 would help you significantly. I think Washington, Cornell, Brown and NYU are not realistic targets. If you improve your score to a 165, I think they could be in your "reach" list and schools like Florida and PSU could be targets.
  9. I'm sure you'd get into a top 10 program if you applied to all of them. I'd also probably apply to a couple of the bigger state schools ranked 10-20 like NCSU, PSU as relatively safe options. You won't have to go lower than that. I wouldn't worry about the third letter. If you have two strong ones from people who know you well, a letter just saying you are good at math won't hurt you. If you're dead set on going to Stanford, you'll need to take the math GRE, but even schools like Chicago don't really require it, so I don't think there is any reason for you to delay applying unless you would like to take a year off for fun.
  10. Definitely agree with above, those schools you added and schools like Minnesota/Wisconsin should be the bulk of your applications, with a couple reaches like Duke. Penn State also has a great statistics department, so talk to professors there. Those last three schools I would say are in the safety range (though nothing is guaranteed), so I don't think you need to apply to many schools at that level.
  11. What sort of state school do you go to? Berkeley vs Montana makes a difference. Also, it's hard to say without your GRE score and those future math grades if they'll be submitted. Do you expect to get a 165+ GRE Q and do you think you'll get an A in analysis? So much depends on these 3 questions that I'll refrain from giving too specific advice right now, but I'd say those top 3 schools are going to be your reaches (but perhaps obtainable) and the bottom 3 are probably low matches - there's a big gap where you skipped like 30 spots in rankings that are probably your best fit.
  12. Measure theory will be more essential, but any type of analysis will help you if you want to do theoretical research. The exact subjects you will need to learn will depend on your research area. As an international applicant, I would recommend taking as much math as possible if you can get As. That will help you more than a non-research internship.
  13. Your grades in calc and linear aren't great, but your grades in prob/math stat are even more concerning. Even if you got an A in real analysis, I would say Oregon State is the only school that's close to the realm of realistic and I would be extremely surprised if you got in there. You will probably need an MS to get into any reputable statistics PhD, but even then, it will be around the level of Oregon State. Those other schools are simply not realistic for someone with your math grades. Edit: to clarify so that this isn't misinterpreted as B+s being disqualifying, I am talking about the pattern of Bs in core, low level prerequisites with no higher level As to prove that you can do math. Lower grades early on are not disqualifying and common, but if your math education stops there, not good. OP would probably have to take a few semesters of real analysis/numerical analysis and proof based courses and get As in them all, and take a grad stat sequence and knock it out of the park to convince PhD programs he can handle the coursework
  14. Almost all programs allow you to master out. Since you think you might want a PhD, I would definitely apply to PhD programs - your profile is so good that a master's will not help you. With your math background, high GPA at a school known for grade deflation, and amazing GRE score, I don't think you'll have to go outside the top 10 programs, with some safeties in the top 15. If you can get a very high score on the math subject GRE, that will help for a few of the top schools - if you can get a 90%tile, it would be worth it, since you definitely have the profile for the schools that want it.
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