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About fireuponthedeep

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    2019 Fall
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  1. No problem! And I totally understand that impulse, I'm excited at the prospect of teaching basic calc again lol. Best of luck in your program!
  2. I feel somewhat like the blind leading the blind since I don't know for sure, beyond what I've been told and seen on the UMN job boards, so take this with a grain of salt! But I think that that is a definite possibility. The UMN internal job search portal lists available graduate assistantships that anyone can view and apply for. They looked like normal job applications, you submit your resume and if you have the requisite skills potentially they'll hire you. So if you were to see a RA/TA position in the Chem E department and you have what they're looking for, I don't see why you couldn't apply for it! Additionally, I know Emory has a similar portal to look for RA/TA positions, so I'd imagine they're fairly ubiquitous across American universities, but I can't definitively say that every school has one. That would depend on your school, but there's still the option of manually searching through the Chem E department and finding professors you think you could help, then emailing them. Worst case scenario they ignore you, assuming you're polite and respectful in your email. I will say that it seems likely that preference might be given to students w/in their own department, and I'm sure there are downsides to seeking positions outside the biostats/stats department if you're looking for research opportunities specifically w/in biostats/stats. But for my part I just want my masters to be cheap and don't really care about the research since I'm gunning for an industry job after I'm done. UMN is so big that there seem to be a surplus of GA positions available, you just need the skills for them and they don't seem to care what department you're in if you can help. Obviously in an ideal world you'd find something in the biostats/stats department, but life ain't always that idyllic. As far as the licensed engineer question, I honestly don't know, but I guess that would depend on the specifications of the individual position. If it's a TA position, it doesn't seem like you'd need one? But I have no clue, I know nothing about engineering lol. Maybe try posting on one of the engineering subforums and see if they've been required to have engineering licenses for those postions?
  3. I can't tell you exact figures, since they didn't provide those during my visit. But all the Masters students I met while visiting campus had some sort of graduate assistantship, whether as an RA or TA, and they indicated that it wasn't particularly hard to find them, especially since MS students are likely to have skills that researchers in other departments need, mainly using R/SAS to clean and analyze their data, but frequently don't possess themselves. The only issue with that is gaining those skills might take the 1st or 2nd semesters worth of courses, so that might not be an option until then. It can totally be a different department, and frequently is! One masters student I met was a TA for an online course in social work (idk the exact school/department) since that was her undergrad specialty. It seems like it's honestly dependent on the strengths of the individual student and whether they're willing to reach out and find those opportunities. It's definitely not taboo to reach out between departments looking for those opportunities. As I actually find out for myself this fall, I am more than willing to let ya know what that entire process looks like tho
  4. I can corroborate this being somewhat common, for UofMN at least. The biostats department and the public health career services department both bluntly stated that incoming masters students should essentially cold call professors that aren't a part of the biostats department and ask about opportunities, especially for the first semester. Since masters students aren't guaranteed assistantships, whatever you can secure for yourself is what you're gonna get. As far as harming your chances of getting aid, well, the worst that'll happen is being ignored. I'm planning on reaching out to math/biology/psychology department professors and seeing if there are lower level courses I can get a teaching assistantship for, since I did it for 2 years in undergrad and have some experience. However, I don't imagine spamming all those professors with the same email begging for a TA position would be looked charitably upon, so I'm going to practice my due diligence and individually email those that are teaching courses I know I could help with lol. Idk the specifics of how funding works at other schools, but getting an assistantship for x hours a week equates to y% of your tuition being waved, e.g. if I worked 10 hours a week then 50% would be waived, and that's standard procedure for all UofMN assistantships. Getting money beyond tuition being waived would necessitate a PhD
  5. Undergrad Institution: Top 60 Liberal Arts (according to super accurate USnews lol) Major(s): Mathematics Minor(s): Biology, Psychology GPA: 3.76 Major GPA: 3.79 Type of Student: DMW GRE General Test: Q: 164 (86%) V: 168 (98%) W: 5.0 (92-94%, Can't remember exact percentage tbh) GRE Subject Test in Mathematics: M: N/A Programs Applying: (Biostatistics MS, Wisconsin Statistics MS - Biostats option) Research Experience: Lol literally none Awards/Honors/Recognitions: Magna Cum Laude, Dean's List most semesters, few academic scholarships Pertinent Activities or Jobs: Math TA for several semesters Letters of Recommendation: Letter of rec from Psychology professor, Biology professor, Classics professor, and my college swim coach. Psych professor is the most prolific researcher, but even they're not particularly well known. Undergrad was wayyyyyyyy more teaching focused than research intensive. Math/Statistics Grades: Calc I-II (A-/A-), Linear Algebra (A-), Abstract Algebra (A), Multivariable Calc (A), Combinatorics (A-), Euclidean/Non-euclidean Geometry (A), Numerical Analysis (A), Probability Models (B), Statistical Models (A). About half of my courses were primarily proof based, from spring semester sophomore year onwards, which I think was very beneficial to my application. Didn't take Real Analysis unfortunately, didn't like the professor. Any Miscellaneous Points that Might Help: None that I can think of relating to actual biostatistics/statistics. I'd like to think I was a unique applicant, I swam varsity collegiately for all 4 years in undergrad, served an AmeriCorp term after I graduated, really interested in Public Health and that shone through in my SOPs. But I have no clue if any of that made a difference lol. Also got a D in physics my first semester due to mental health issues + lack of readiness for college, so that tanked my GPA pretty hardcore, would've been 3.85 w/o it. Idk if it was beneficial to my applications that my GPA would've been drastically better w/o that one disaster, or if they were damaged by doing so spectacularly poorly. Or made no impact. At the very least, future applicants know that they can eff up in a non math stem course and get into someplace lmao. Applying to Where: School - University of Minnesota/ Admitted / Accepted School - UNC Chapel Hill / Admitted / Declined School - Emory / Admitted / Declined´╗┐ School - JHU / Rejected School - Wisconsin / Rejected School - Colorado / Admitted / Declined School - IUPUI / Admitted / Declined School - Vanderbilt / Applied to PhD with assumption I'd get auto-rejected and hopefully be considered for MS lol. I was asked to Interview for one of 4 MS spots, but declined to do so due to Minnesota acceptance Overall I was pretty satisfied, UMN was my top choice. In retrospect, maybe getting letters of rec from my mathematics professors would've been smarter, but I was closer with the others and naively thought LOR were just intended to be like "Hey, this person is cool, let them into your school" rather than speaking on research suitability and whatnot. Although I'd like think my Psych/Bio/Classics professors actually wrote letters that were very complimentary of my research potential. Plus for just an MS I don't think LORs really matter too much lmao, as long as they're not damning. Seems like a numbers game, get the GRE/GPA/Course Prereqs, launch those apps into the abyss and you'll probs get in somewhere. I also feel like I lucked out as far as coursework and grades, I had zero inkling wtf biostats was in undergrad, and sorta stumbled into the math major path cuz I like being tortured by proofs and it turned out everything I took ended up being necessary or helpful. But yeah, best of luck to everyone at your respective programs!
  6. @Stat PhD Now Postdoc okay, sounds like I will be poring through linear algebra done right and understanding analysis for the next couple months! And I'll just review Calc with some sort of open course ware, good to know I can ignore trig and polar coordinates tho haha. Coursera has a few R programming courses offered through JHUs Biostat department I can audit for free, but I think just jumping into would be a good idea too, that's usually how I learn best with programming. Maybe mix and match if I need more help/guidance. As an aside, thank you for all your help, both on this post and the others I've previously made. It's been indescribably beneficial to get an informed opinion!
  7. Hello all! I have been researching topics to review prior to the beginning of my program, and wanted to know if these were good places to start? -Basics of Linear Algebra -Calc I-III, u-sub, chain rule, etc. -Gain familiarity with R -Dip toes into Measure Theory/Real Analysis if feeling particularly ambitious I took Linear Algebra 4 years ago, and have been reviewing the textbook I used (Introduction to Linear Algebra, Strang 5th ed) and it's coming back quickly. However, I'm (now) realizing it's mostly applied, and it seems a proof based text would be more appropriate? Is there a specific proof based text (I've read that Matrix Analysis and Applied Linear Algebra by Meyer is a good proof based text?) I could use instead, or will that be overkill and just reviewing Strang/basics enough? None of my calc courses were hard to understand when I took them so I'm not particularly worried about reviewing/regaining the info, but how in depth should I go? Just review some problems, or should I redo my textbooks? Any specific books/courses for learning R? I was planning on using 'The Art of R Programming' by Matloff. I have literally no experience with R lol. Is trying to learn Measure Theory (Casella & Berger) and Real Analysis (Either Rudin or Understanding Analysis by Abbott) total overkill? I didn't take Real Analysis in undergrad, but planning on taking it during my program. Feels like a decent idea to at least get some basic understanding beforehand. And I just wanna hit the ground running for my program, been out of undergrad 2 years and worried about being behind the curve. If there are any areas/topics I didn't mention and definitely need to cover, please let me know! And any other tips, advice, or good texts to use would be greatly appreciated!
  8. I think UNCs honestly not too bad compared to those schools (especially Harvard/JHU/berkeley once cost of living is factored in), out of state is 15k a semester for UNC, far higher at the other places. I receive in state tuition to UMN, so it will be nearly half as much to get my MS, which is a no brainer to me. And that's assuming I don't get a graduate assistantship lol. Plus I'll be closer to my family and my dogs need cold weather! If the costs were closer I'd definitely consider UNC, but regardless I'm sure happy to get an admit!
  9. I guess the actual admissions email was just slow to arrive, I received it this morning. If the cost wasn't so prohibitive I'd love to go, but still nice to be admitted! Best of luck to everyone else waiting on admissions decisions!
  10. Did anybody get a weird email from UNC today? I reached out a few weeks ago about my MS Biostatistics application, and they responded with Hi [me], I am sure you have been notified of your admission! Congratulations! So that seems like an admit? But also that was all it said, the application hadn't changed on their website, and I haven't heard anything else from them lmao. It doesn't really matter since I'm going to UofMN, but it would feel good to know I got admitted to UNC too lol.
  11. I appreciate the advice! I ended up picking UMN, I just wanted some confirmation that it was the better option between the two.
  12. Hello all! I was admitted to both Emory and Minnesota's MS Biostatistics programs. Minnesota would be significantly cheaper, Emory would be roughly 2x as expensive. I would love to go to Emory, received a decently large scholarship (even that brought the cost down to only 2x Minnesota) but am having difficulty justifying the price. I know they're both ranked roughly the same, and I wouldn't be lacking for job opportunities from either school, would I? I want to go into industry but potentially pursue my PhD later down the road. If anyone has advice, insights or comments they would like to share I would greatly appreciate them!
  13. That explains the crickets I heard when I emailed them last week lol
  14. @theduckster that's a good point, just getting a PhD wouldn't necessarily boost me to the top. I'm basing it more on the job descriptions the companies put out, all the senior level stat/biostat positions list having a PhD as a prerequisite. Maybe the x years of experience + a masters would make up for that, but I honestly have no clue as I've not even entered the field yet lol. I think it's safe to assume that having a PhD would at least give me more options for advancement, based on those job descriptions. I have zero clue how I feel about research, went to a small liberal arts college so had minimal opportunities to do it there (wasn't really on my radar either) and where I'm currently living is pretty rural so no chances here. Figured I'd get exposure to research during my masters and figure out how I feel then, but it felt a little bold to apply for a PhD with no idea whether I'd enjoy the final 3~4 years. Didn't really consider the path of going for a PhD but only staying long enough to get my Masters and essentially getting it paid for. Feels kinda disingenuous to plan to do it that way, not sure if there's a stigma attached to it but seems iffy to me. But I'm probably thinking that way to feel better about not even considering it lol
  15. @Stat PhD Now Postdoc Yeah, that lines up with what I've heard on here/elsewhere, but it's good to have it reaffirmed. And money is primarily an issue with only Emory, if I got into Minnesota/Wisconsin I would get in state tuition since I live in Minnesota so it would be drastically cheaper, but haven't heard back from either yet so operating with Emory as my top choice. Emory would be about 2~2.5x more expensive than either state school. Honestly I applied to my Master's without any thoughts of getting my PhD, more interested but it's too late to change that decision lol. And it's a very lukewarm interest, not sure I'd enjoy research since I've never done it. I know I want my Master's, but iffy on a PhD at this point in my life. I say I want to get my PhD, but it's primarily so I could advance up the ladder in industry and get more leadership roles, from what I've heard PhDs dominate the top in industry, but maybe I'll enjoy not having responsibility, hard to say lol. To me it's a big commitment to go for my PhD with zero clue if I'd enjoy the final 3 years due to research focus, whereas my Master's is going to be coursework primarily and I know what that's like. I'm going to reexamine how I feel about a PhD in 5 years, see how life is and whether it makes sense to continue on for it or not. But for now it's not something I feel comfortable pursuing. I don't mind the cost of a Master's since I know it'll increase my earning potential, but I would like to make it as cheap as possible, with other factors being considered. And if I do end up wanting to get my PhD, I want my Master's choice to not torpedo my chances of going someone good lol
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