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Bayesian1701 last won the day on March 25

Bayesian1701 had the most liked content!

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About Bayesian1701

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  • Application Season
    2018 Fall
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    Statistics PhD

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  1. I'm not an expert on MBAs or MHP but my impression from spending a lot of time on this forum is that they are generally unfunded and $80,000 seems like a typical cost for a dual masters degree at an out of state or private university with no funding. If you search for ”negotiating funding” on the site you should find a lot of old posts with tips. I know some people have successfully negotiated but others were not sucessfull. Maryland might have limited funding as a public university but if John Hopkins was almost half the price that seems like a better deal unless Maryland is better than Hopkins for MPH/MBAs.
  2. Bayesian1701

    BU PhD Stats Profile Eval

    Your grades and GPA are good. Ideally you would have another semester of both math stat and real analysis by now if you are applying for fall 2019, so you might want to consider taking those this fall. Coming from a small LAC might hurt you depending on how prestigious it is. There is a difference between Amherst and some place few people have heard of. Not a lot of people have stats research experience so you don't have a huge disadvantage. I would drop the comp sci letter and one of the research letters and get a letter from your stats professor and one of your math professors. To show that you can handle the math since an adcomm might be concerned about your mathematical preparation if you don't have any more proof based courses than you listed. If the Statistics program at BU is a specialization in the Math PhD program, looking at BU math admissions might help you gage your chances there. Regarding your other programs I wouldn't apply to CMU unless it's your close second choice you also love. CMU is arguably the one of the most competitive stats PhD program in the country to get into. CMU is definitely a reach for you. If you are looking at the northeast for programs, you could add UConn which should be realistic. Columbia’s MA program is a cash cow with hundreds of students in a cohort, and you will get in but you would probably have a better experience and more attention at another programs. My two questions for you to better refine my advice are how prestigious of a LAC do you attend and if you have any more proof based math like Abstract Algebra, Topology, Set Theory, Complex Analysis, or a second semester of Mathematical Statistics or Real Analysis.
  3. Bayesian1701

    Where should I look to apply for PhD in statistics?

    How important is it to you to have options or run the risk of no offers. Some people prefer to be cautious to manage stress/anxiety and others aren't bothered by that during the waiting game. On ideas for where to apply, your grades are a little low (probability and calculus are important, but USC may have a reputation for grade deflation I am not aware of. Try to get an A in real analysis because it could really help you out.
  4. Bayesian1701

    Where should I look to apply for PhD in statistics?

    What are you grades in your undergraduate math/stats classes specifically real analysis, calculus, mathematical statistics, probability, linear algebra, and any other statistics courses. It's hard to answer without context on grades. There are also dozens of programs and where to apply depends on research interests, location preferences, and risk tolerance.
  5. Bayesian1701

    Stats/Biostats Applicant 2019

    Your list for stats PhD programs is good, but I think you are aiming too high (maybe?) for biostats. I don't know much about biostat programs, so someone better experienced would need to comment on that. What do you think your rec letters from research advisors will look like? Your ability to handle coursework may be a minor concern, unless there are some more Bs in math/stats courses you didn't list. You did get a B+ in real analysis, but I think that adcoms would know that grades almost have a margin of error since they are a single observation from an unknown distribution. Your quant GRE score is on the low side for top programs, but about average. You need to sell your research experience. If you really have a first author statistics publication in the works with a rec letter that says you are a great independent researcher, then you are way ahead of the pack (at least among domestic students). I think independent research experience and defined research interests can help compensate for a mediocre undergraduate institution and average GRE and GPA. I want to leave a word of caution about doing a top masters program. Yes, masters programs are great stepping stones that can improve your chances of getting into a top Ph.D. program. But, you will spend a lot of money (you probably not get any funding) and time. You will probably not get to all of your credits when you transfer to a Ph.D. program. And you are really only going to have the first three semesters before you apply again if you go straight through. On the other hand, if you get into a Ph.D. program, you won't have to pay (if they don't fund you as a domestic student they don't really want you) and it would be more efficient to stay in one program.
  6. I would not apply to Columbia’s Statistics masters program. It has the reputation of being a cash cow that accepts a lot of students. You could definitely get in, but I am not sure if it is worth it. I am not familiar with masters admissions so I won't comment on your chances.
  7. Bayesian1701

    2019 Stat Ph.D. Profile Eval

    I would consider adding Mizzou for an MA application or possibly a Ph.D. depending on whether you want more of a backup plan or want to be more risky. They fund some domestic MA students (and all their Ph.D., not in the applied masters track though). They have some professors doing spatial research (mainly environmental) , and the MA program is flexible enough to take some Ph.D. courses. At my visit day, one of the other admitted students was admitted to their MA with funding, and another current student was also a funded MA student, and there have been other reports of MA funding on here. I don't know how helpful it would be to get a masters at a MU for going on to a Ph.D. program. However, at both of the admitted student days I attended (UT and Mizzou) almost all of the people with a masters (about half) had one from a low ranked or unranked university (Arizona, Arizona State, Northern Illinois University, some other state schools I forgot) except for two international students from Columbia and Duke plus some people from UT’s masters program accepted at UT, but I don't know how their profiles compare to you. I am pretty familiar with Florida State. I had two professors/recommendation writers who got their Ph.D. there. In one of my conversations about my chances (specifically about what GRE score I should shoot for), I was told that there admissions aren't nearly as competitive for domestic students as it international students. Their average is influenced by the higher GRE scores and GPAs of their international acceptances and people with below average GRE/GPAs do get in, so I wouldn't count yourself out. FSU is probably realistic. I would recommend the Magoosh online course and Nova GRE math course (a book) to help you raise your quant score. I could see some Ph.D. program taking a chance on you because of your research experience even though your grades aren't good.
  8. Bayesian1701

    2019 Stat Ph.D. Profile Eval

    On the coursework side I would go with Calc 3, real analysis, and stat theory, but pair that with one or two (preferably one) easy non-math classes (to be a full time student) and prepare to spend 30+ hours a week on your math classes. Real Analysis and Stat Theory should require a lot of work outside of class. Ideally you would make in A in all three classes. Since you are an international student, you are correct that it will be very difficult to get a fully funded masters at PhD granting institutions. So you probably have to apply to Ph.D. programs to get funding, even though your profile isn't that great for an international applicant. Basically you should apply to the lowest tier of programs. I don't know what your chances would be and anywhere that is realistic since I know that some of the less competitive programs are smaller programs without a lot of funding.
  9. I am not against going internships, but I suspected it would be a better idea to do a couple and not every summer. I want to take the first summer and work on preparing for measure theoretic probablity and quals and prepping for independent teaching my second year. It’s good to know that I don’t have to worry about finding something my first year, but I will probably put in a few applications anyway.
  10. Your profile is good so you could probably apply anywhere you wanted as long as you don’t apply to only the top 10 programs. You could get into a top 10 program but there is a lot of randomness in the process. I agree with @StatHopeful that if you balance top programs with some of the larger programs (NC State, Florida State, Texas A&M) you should have options.
  11. Bayesian1701

    What are your 4 dream jobs? Are you qualified for any of them?

    1. Professor 2. Survey Methodologist 3. Statistical Consultant 4. Data Journalist I am not qualified for 1-3 yet, but if I finish graduate school I would be qualified. I could possibly do 4 if my blog went viral and people thought I was good at it (I am not sure if my blog posts are good).
  12. I will be starting my first year of a Statistics PhD program this fall. I am living with my parents and we had a discussion the other day what I will do in the summers during my Ph.D. program. My plan was to send out internship applications for internships I want, but my parents are encouraging me to apply for internships I don't want because they think I need the experience. I don't have any relevant non-academic work experience, all I did in college was tutor, do research, and last summer I had a job with student housing. I am going straight into graduate school, so I haven't had a ”real” job. My dad is an engineer and he thinks I should be getting internships instead of TA/RAing (or just working on research in general) in the summers. I am heavily leaning towards a career in academia, but if I work in industry, I would probably want to work in survey methodology or maybe data journalism (which I know would be a weird thing to do with a Ph.D. in stats). I looked into internships for this summer (to get a few for what's out there) and it seemed like I would not have many options as a first year for internships that would match up with my passions and career goals. I don't want to do a biostatistics or a tech big data internship (which seemed like the majority of the internships I found) because that's not what I want to do with my life. Also, I could probably get an internship at my dad’s work but he is an engineer and it would probably be analytics on part failure or inventory control which I definitely don't want to do. I know it will be a few months before I apply for internships but I will probably need (right?) to start looking for one in the fall if I want one after my first year. Should I even apply for internships for things I am not interested in for the summer after my first year (and beyond) or focus on research and teaching instead? I will likely not need the extra money an internship might bring. Part of me wants to invest my summers in things that will help me get a good postdoc and hopefully later a tenure-track position because that's what I want, then possibly help my backup plan. On top of this, if I get an internship, it will have to be formally approved by my department and the graduate school due to a condition in my funding package restricting outside employment. I think they would probably approve it since technically summer funding is separate from the academic year. I want to do internships, but I want to know if I should consider internships where I am not interested in the work just so I have more ”real” work experience (not teaching or research). I will seek advice outside of gradcafe, but I wanted more perspectives.
  13. Real Analysis for sure if you are going for a PhD or a top masters. Even you already have a semester or real analysis, real analysis would be better. You don't need a biology background for biostats, but you need a math background. If all you have are the basic prereqs (calculus, a stats course, linear algebra), you are going to be at a disadvantage to math majors with 10+ math courses. It is important to note that most Ph.D. applications will be due in December and January so you might not have fall grades, but even taking real analysis and having an in progress on your transcript will help you. For Masters applications you might have more time to include grades.
  14. Thanks for the advice. My main concern that is driving me to ignore my burnout is that I currently need leveling courses and I want to try to avoid taking them. I don't know how many of the students in my cohort will be coming in with a background less than mine. But I do know that I am coming in with less preparation than other students historically. Since I know that part of me feels like I need to work really hard this summer so that I won't be behind. The Ph.D. program I am entering is very much designed for students who already have a masters, since the majority of students do have one coming in. The first year coursework has a graduate level prerequisite I don't have. Since I don't have this class, I will be on a different schedule unless I can cover all of that material (a two-semester course) this summer. Part of me wants to just relax and prepare maybe 10-20 hours a week; then another part really doesn't want to start behind and do whatever it takes to attempt to cover a two-semester graduate course over the summer even though that's crazy. I have no idea how I got in. I am afraid that others in my cohort (and potential advisors as well) will think I don't deserve to be here because I can't handle the typical schedule and will be delaying qualifying exams. My choice is to recover from burnout and do the leveling courses (which will count as elective hours for my degree) or attempt to bypass the leveling courses through intensive self-studying.
  15. Without knowing more details (which I totally understand why you don't want to reveal), it sounds like your application is very strong. The main issue is how strong is your research compared to other applicants. There are a ton of different combinations of places to apply to. If you are clueless on where to apply, use the US news rankings to get some ideas in which universities have a Ph.D. program. I would go through the websites of any statistics program you would be interested in applying to. Ignore places that have dealbreakers (climate, location, etc.). I wanted a southern program with a direct flight home, preferably in a college town, and was only willing to sacrifice those things if everything else was perfect. I also wanted at least two Bayesian statistician, sand that was how I came up with my list. I found 15 programs that met my criteria and cut some to have a balanced list. I really think you gain a lot from building a preliminary list because then you know if programs have what you want. You could probably apply to anywhere you want and still have a reasonable chance, but I wouldn't stick to just top 10 programs.

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