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Signature Omelette

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  1. I am glad I could help! I am new here at Grad Cafe, so I don't know if there is profile evaluation for business here. Also, I don't know much about Business PhDs. I think I can't help any further, but I wish you the best of luck on your search! Maybe, one last thing I would like to say that I recommend you looking for programs all over the spectrum connecting business to stat/math. Sometimes they go by different names. For example, there's one in Princeton called Operations Research and Financial Engineering. This one is heavily quantitative/mathematical, but it is more applied than a program in Statistics ( I believe).
  2. Hi Hedy, I have to agree with Casorati in that it would be much better if you had already taken real analysis (or at least some other heavily proof-oriented course). I am assuming that the courses on mathematics engineering you took are mostly based on Calculus, differential equations, complex analysis, am I right? I believe a course in Mathematical Statistics or theoretical probability would be a big plus too. One option is spending more time on your current program and take more pure math courses. Another is looking for programs in between business and statistics, since you have done a lot of coursework in there (and probably have recommendation letters from people there). I am talking about Operations Research, Decision Sciences, or some more quantitative programs of Business/Marketing and such. You might end up doing a lot of statistical research in a Marketing dept, for instance, although you will be in a very different environment. There's probably some programs in statistics that won't require from you a very strong background in math, but I don't know much about them. Also, maybe your recommendation letters will be able to convince the admissions that you are able to grasp math without problem, although it might be hard for the admissions to believe that you know what deep math if you haven't been exposed to it via coursework or research. Sometimes people don't understand when I talk about deeper math and think it is just undergrad math (Calculus and so on). To make sure what I mean by it, just take the book of real analysis by Rudin and read the first and second chapters. If you don't know the stuff in it, it's ok. But if it scares you, then it is a sign that you need to learn it. I don't want you to loose hope on your application. Reality depends a lot on small details that I and grad Cafe might not address properly. So I recommend you to talk to as many people as you can (students and profs in STAT depts you would like to go to), preferably people that know you.
  3. Oh, and there's a website you might find useful: http://www.phdstipends.com/ People fill in their programs and stipends there so that others can check it. I find it useful, but it should be taken with a grain of salt since anyone can enter there and put any gibberish.
  4. I took a look at McGill's webpage ( https://www.mcgill.ca/ahcs/graduate/funding ) and found this: `` The department offers competitive multi-year funding packages that are comprised of a variety of sources such as internal and external fellowships, research stipends, research assistantships, teaching assistantships, and course lectureships. '' This means that you won't have to pay for tuition and will receive some stipend, for which you probably will need to work as a Teaching/Research Assistant, a common thing in graduate programs worldwide. Notice that not needing to pay for tuition is not a rare thing. I don't know of anyone in Grad school having to pay for tuition and I have only heard of some programs in England that have students paying. I believe these programs are ``less academic'' and more aimed to the industries (I might be biased on this, though). Something relevant to know is that the mechanisms through which funding happens varies a lot from program to program, and even within a program. Some provide you funding directly from the department and regardless of your choice of advisor. Others require you to contact your (future) advisor first for you to agree on a research project and for him to arrange funding for you — I believe this is more common in Europe. There's also the possibility of getting funding from some government agency, and this is very nice if you can get it by the time you apply to places because the department won't have to spend money on you, which increases the chance of getting accepted everywhere (of course, these fundings have their requirements). For this last type of funding, I recommend you talking to the students and professors of you area, because the availability of these funds and how they work depend a lot on the area and basically on who you are (if you are american, first generation, in some underrepresented minority, etc).
  5. Hi adjunctlifer, For PhD I am sure that there will be fully funded programs in Canada, meaning that you won't have to pay for tuition and will even get some stipend. Well, at least I believe so because that's true for PhDs in exact sciences (such as Math, Stat, Computer Sciences, engineering). I am, as an example, an international student currently in a fully funded PhD here at the US. Maybe you could post here some of the universities/programs you are interested in and I can help you interpreting the vague platitudes. Lastly, a possibility is emailing some of the professors in the department you are interested to check that. Not only you most likely will get the information you want, but you also will get a chance to interact with professors there.
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