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statstudent

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  1. Hello, I hope everyone is doing well and staying safe. I am finishing up my applications right now and I have seen that many offer an optional section in which you may provide information about yourself and how you contribute to diversity. Diversity and inclusion are important to me and, with everything going on in 2020, I figured I would miss a valuable opportunity by not answering these sections. These tend to be very brief statements (<1000 characters), so I was wondering if anyone would be willing to provide me with any feedback on mine. Thank you! "Through my personal experiences, I have developed an intimate understanding of the pervasiveness of discrimination. *personal anecdote here; removed for the sake of anonymity*. Consequently, I believe I hold unique perspectives that allow me to pose meaningful questions and address pressing issues concerning social inequity and racism. Beyond my ethnic background, I believe I contribute to diversity through my intellectual motivations. My interests in interpretability and methodological statistics may be seen as a divergence in the age of big data - but are driven partially by its social implications. Particularly, I recognize that big data and complex decision-making methods can not only be often superfluous but also potentially harmful. They can inadvertently perpetuate structural racism in their applications, e.g. algorithms disproportionately denying minorities loans, and I seek to develop methods to resolve this issue."
  2. ETS recently announced that it will not hold the September and October administrations of the GRE Math Subject Test, due to the pandemic. Given that many PhD Stat programs recommended/required it in the past, does anyone have an idea about how this might affect admissions and application evaluations for the current cycle? Thanks in advance!
  3. I see, thank you for your responses! As a follow up, if I were to not submit my score - say if I got <75% or just didn't take it - would that have an adverse effect on my application for those programs? Thanks again!
  4. Now that I'm looking more into PhD programs I see that many applications, particularly top 10, "strongly recommend" submitting GRE Math Subject Test scores. Would anyone mind advising me on how taking the exam and getting ~75% - 80% percentile would affect my application for those programs? Similarly, how would not taking the exam affect my application? I haven't even began studying for the exam yet, so I am trying to determine whether it is worth the effort. I'd be very grateful for any advice! Thank you!
  5. Hi, thank you so much for the quick response and encouraging words! I thought the same about what one would gain out of masters programs, but I figured I didn't have enough coursework in statistics to apply. I'll certainly look more into PhD programs in that case, and take your advice on the recommendation letters. I do have a follow up question regarding masters programs. Do you think I am competitive enough to get into a top 10 masters program? If so, would it be worth considering completing a masters at one of those institutions, and then applying to higher ranked PhD programs? Thank you again!
  6. Hi, I hope everyone is doing well and staying safe! I plan to apply to graduate statistics programs soon. I'm primarily interested in masters programs, as I don’t feel competitive/competent enough for a PhD. I would love if someone could help me understand where I stand and if my feeling is correct. I also am very nervous about the kinds of schools that are a viable, given my background. I‘d greatly appreciate any advice! Type of student: Rising 4th year domestic mixed male Undergraduate Institution: Large public, no grade inflation (USN top 20 statistics department) Undergraduate Major: Applied Math - Stat concentration, CS minor, honors (not sure if that means anything) GPA: Cumulative: 3.90, Major: 3.95 GRE: Haven't taken yet; estimate: ~169Q, ~163V, ~4.5W Relevant Courses: (all undergrad level unless specified; all A's, except B's in ODE's and databases) Math: calc 1-3, real analysis, linear algebra, ODE's, mathematical probability, numerical methods, combinatorics, dynamical systems Stat: intro stats, linear models, data mining (grad level), sample survey/experiment design, intro operations research, topological data analysis, statistical computing, databases (grad level) Computer Science: intro programming, intro DS&A, analysis of algorithms, computer organization, programming languages Letters: average, but maybe below average - didn’t form very strong connections with professors Research Experience: 1 year of statistical modelling with biomedical science application; 1 year of work with a CS professor on a project with statistical focus in deep learning; no publications Internships: (not sure if this is relevant) one SWE/AB testing internship at local startup; one ML/NLP internship at a large public, but also relatively unknown, IT company Misc Experience: one TA position for a senior level math class; a lot of eclectic self imposed machine learning projects For masters I plan on applying to: (in order of descending perceived chances?) Texas A&M University, UNC, UWisc, Columbia, UMich, Duke, CMU, UW, UChicago, Harvard, Berkeley, Stanford. I have no idea if I am competitive enough to apply to these school though. They all seem super competitive, so I will likely apply to more schools. A big worry I have is that many of the masters programs in statistics are targeted toward industry/data science, rather than preparing for research/PhD - so idk if it is even worth applying to them. I am also unsure whether I have enough rigorous statistics courses to apply to PhD programs. Would love any advice! Thank you! p.s. sorry if you saw this on reddit, I thought it would be valuable to get specialized advice from here
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