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mathmollusk

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  1. Thanks for the responses. It's a good point. My main thing is that, given it's so competitive, I'm not completely sure I want to do the PhD yet. The Master's I'm looking at is actually a MST which includes 5 graduate-level math courses, which I'm thinking could help me decide/improve a possible PhD application. It's also at the same university I just finished up my undergrad at so it should theoretically help me bolster my rec letters from the graduate courses. It's good to know that if I do end up doing it, it won't be a black mark and I could always go back to teaching after the PhD.
  2. Is it a bad idea to get a masters in math education and teach for a few years before doing a pure math PhD? I'm looking ultimately to teach at a university. However, I know that the job market right now is trash. So I intend to get some high school teaching experience and the M.Ed. first, and have that to fall back on after the PhD. Is this a good idea or something that would only really work "in theory"? Would the M.Ed. be a black mark on my transcript for Ph.D. admissions?
  3. Thanks guys. I definitely will be reviewing some undergrad math at the bare minimum. I guess I was mainly thinking of if there are any jobs that people typically do for a year before grad school, espeically in stats. For example, is there such a thing as interning as a data analyst for a year etc. ? Some sort of post-bac, part time research? Or is this generally not a thing/wouldn't really impact my application? Would a year without some sort of steady employment be frowned upon by admissions committees?
  4. Does anyone have any good ideas on what a 2020 math grad could do during one gap year while awaiting the next (2021) application cycle (starting statistics grad school the year after next)?
  5. Hi, does anyone have any information on the reputability of the Brown Data Science Masters program? The coursework looks a little thinner than Harvard and UVA's program and the website is vague about employment statistics.
  6. I'm applying to grad schools next year, but I'm taking analysis for the first time this coming fall. However, I do have good grades in two courses of abstract algebra that I took this past year. How much will not having analysis hurt me in PhD stats or bio stats applications? What about MS? Also...are people who apply directly to MS programs given precedence over those who apply to PhD programs but whose applications are later deferred to the MS pool? Or are they given equal consideration? Thanks.
  7. Is it possible to apply to multiple different PhD programs at the same university? For example, say I wanted to apply to BU's Math PhD, Stats PhD (both of which are offered through the math department), or Biostats PhD (offered through the public health department). Do schools allow this? Or is the case more that it's "technically allowed" but would look seem to demonstrate lack of focus? Thanks.
  8. There are only two professors in math who I know could give me strong recommendation letters for stats graduate school (probably masters). Would admissions committees frown upon my application if my third rec letter was from a professor who I know really well in a non-math (and non-STEM) discipline? Or, would I be better off getting my third letter from a math prof whom I only had for one class? Thanks.
  9. How important is having two semesters of analysis for stats grad school? At my school, there are two options to fulfill the analysis requirement for the math major: a two semester sequence called Analysis I-II, or an "intro to analysis" course. The I-II sequence covers the same topics as the intro course, though in much greater depth. It is also known to be virtually impossible to get A's, or A-'s, in the two course sequence, as it is not curved. So, my question is: would doing only one semester with the intro course look bad for stats grad school? Would the risk of taking a GPA hit with the two course sequence be worth it in the long run? Do stats grad programs typically expect students to have two semesters? Thanks.
  10. Our math department offers opportunities for undergrad math majors to grade problem sets for lower-level math classes (up to linear algebra). Would doing this look good on an application to grad school? Or does it really not matter at all, and would my time be better spent studying? Thanks.
  11. I'm a junior math major looking to ultimately get a masters or phd in stats and trying to figure out how to spend this summer. I'm between either trying to get into an REU to get some research experience under my belt, or taking some Computer Science courses over the summer. (Unfortunately, my schedule constraints are such that I can't fit Computer Science classes into my schedule during the year, but I have heard they are important for stats). Which do you think would be a better use of my time? (If it matters, I will have an opportunity to do research through an undergrad math thesis the last semester of my senior year, but I guess I wouldn't really be able to report this on grad school applications unless I take a year off after undergrad). Also, one more question: I've heard that if I get a terminal masters degree in stats first (and do a thesis to show research experience), and then apply to PhD programs, I can actually be at a disadvantage for admissions into the PhD programs since undergrads going right into PhD programs are judged less harshly and aren't expected to have as much research experience as people who already have masters degrees. Is this true, and if so, (leaving out the question of funding) is it to my advantage to apply to PhD programs right out of undergrad rather than masters programs? Thanks!
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