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Found 162 results

  1. Undergrad: Nankai University (top 5 maths in China)Major: MathematicsGPA: 3.4 Classes:real analysis (B+) Probability theory (B+) Masters: Columbia UniversityMajor: StatisticsGPA: 4 Type of Student: international male gre: v:151 q:170 aw:3 I don't know if my maths background is good . As a maths major,I have taken almost all maths classes but my gpa is not high. In my master years, I got all As in stats classes. Unfortunately, I don's have any research experience in statistics, my only research is in number theory. I plan to apply for top 50 stat PhD in fall 2018 and i need funding. Are there any suggestions? What are my safe picks? Programs I'm Considering: Purdue, BU, UFL,UIUC Any advice is greatly appreciated!
  2. wn votefavo I took the GRE General earlier this year and got a 160Q/156V with a 3.5 writing. I am hoping to apply to mid-level ranked statistics M.S. programs (ranked 15-50ish), does anyone think that those scores are strong enough to be competitive or should I retake it? I'm having a hard time finding admission statistics aren't incredibly vague (Competitive applications have done well on the GRE..., etc.). I know a lot of depends on how strong the rest of your transcript is, fwiw I graduated with a B.S. in Biochemistry with a 3.3 GPA and have worked in a biostatistics lab.
  3. Hi, I am a student of an Indian Institute majoring in Mathematics. I want to pursue my MS/PhD in Statistics in US. Please evaluate my profile and suggest me suitable universities. Details:- GPA 7.9/10 (I don't know the 4-scale equivalent) GRE General test- Verbal - 153 (61 percentile) Quant - 166 (91 percentile) AW - 4.0 (60 percentile) Will appear for TOEFL next month. Thanks in advance.
  4. Hello, this is my first post here:) I am an international applicant and planning to apply for the 2018 Fall Statistics program. I am currently browsing each school website for some information which could be helpful for my school list. I have a question here: Though ranking is the most important aspect when deciding which school to apply, just in terms of admission strategy/possibility, will it be helpful or meaningful to apply for schools whose faculty and research fit me well and strongly emphasize that point in my SOP or CV? I heard stat/math phd admission process cares more about quantitative record(GRE, gap, etc.) than SOP/CV. Also there is possibility that my research interests may change over time and the information I get from websites seems somewhat uncertain and glimpse. I just don't know what would be a suitable strategy deciding schools. I need some advice and help from here.. Thank you.
  5. Specifically for PhD programs in Statistics, is there a consensus on when (if ever) extra letters of reference should be submitted? I have 5 potential letters, and I think they'll each be quite strong. If the schools I'm applying to allow for additional letters, do you think it's a good idea to submit all 5? It feels awkward talking about my research experience with a particular professor in my SOP and then not having a letter of reference from them. On the other hand, I don't want to irritate the committees with so many documents to read through. Let me know your thoughts. Thanks!
  6. Hi all, I would really appreciate some feedback on the below, re my chances of admission. I have applied for Jan 18 admission. Undergrad Institution: Top university in Ireland Major(s): Statistics Minor(s): Mathematics GPA: 3.76/4.2 (Award), final year GPA was 3.87/4.2 Type of Student: International male Programs Applying: Statistics MS, McGill Research Experience: Final year research project for which I received an A-. Project took 12 weeks in all. My supervisor wanted me to enter into a European undergraduate research competition, but this wasn't possible in the end. I have also continued on this research in my own time. In my statement I also stated two more areas which I would like to research. Awards/Honors/Recognitions: None to speak of. Pertinent Activities or Jobs: I have just completed a one-year graduate program at a large insurance company's data science centre. I stated in my application that I built an outlier detection algorithm for insurance data in this job. Courses: Final two years (courses which contributed to degree classification) Research Project A- 3.8 An Intro to Coding Theory C+ 3.0 Actuarial Statistics II B+ 3.6 Categorical Data Analysis A+ 4.2 Multivariate Analysis A 4.0 Applied Statistical Modelling A 4.0 Models - Stochastic Models A+ 4.2 Actuarial Statistics I A+ 4.2 Nonparametric Statistics B 3.4 Monte Carlo Inference A 4.0 Data Programming A- 3.8 Data Prog with Python (online) A+ 4.2 Cryptography: Theory & Practice A 4.0 Ring Theory C+ 3.0 Statistical Data Mining B 3.4 Design of Experiments B+ 3.6 Bayesian Analysis A- 3.8 Economics and Society A 4.0 Functions of One Complex Variable 5.0 5.0 B- 3.2 Metric Spaces 5.0 5.0 B+ 3.6 Research Methods for the Social Science, Business and the Humanities A+ 4.2 Time Series A 4.0 Models - Survival Models D 2.2 Letters of Recommendation: One of my letters is from my research supervisor who knows me well. They are relatively young and have their PhD 4/5 years. My second letter is written by a much more senior lecturer, head of the statistics department, who taught me two courses, in both of which I got an A grade. Programs considering: Only the MS at McGill for now. Concerns: My grades were very poor for the first two years. I have addressed this in my application and explained that this was the case as I was also working a job to finance my studies. For the final two years I made the decision to quit my job. Thanks,
  7. Hello, I did a bachelor's in biology and environmental science, with only one 400 level statistics course. I'm taking further math classes at a community college right now, before applying for an MS in Biostatistics. I know my limited math background already puts me in a bad spot, but I'm unsure about my picks for recommendation letters as well. I was wondering if it matters that my writers dont all have PhDs, esp since only 1 is in math. Right now, I have one biology professor (PHD bio), one environmental science professor (MS env sci) and the stats lecturer (he wasnt a professor. MS applied math) They all know me well, but is that good enough?
  8. Hi all, I'm a rising senior this year double majoring in Statistics and Psychology. I really love both of these fields and want to pursue doing statistical research in the social sciences in graduate school (specifically masters programs). The only problem is I'm not sure what programs or field would best combine statistics and social science for me. From what I've seen, most psychology/stats programs are about psychometrics which mainly concerns working in the field of education which I have no background in and know very little about. I've taken a class on networks and social network analysis and I'm very very interested in that, but unsure what graduate programs would specialize in that or what kind of career that would lead to. I excelled in my Psychology Research Methods courses and really like doing that kind of research, but there are very few quantitative psychology masters programs. Does anybody have any advice for potential career options and for strong masters programs? Again I'm really interested in applying statistical modeling and methods to study human behavior and population trends. Thanks for your help!
  9. Undergrad Institution: Large State School Major(s): Mathematics Minor(s): Statistics GPA: 3.95/4.00 Type of Student: Domestic White Male Grad Institution: Same Large State School Concentration: Mathematical Statistics (Masters) GPA: 4.00/4.00 GRE General Test: Q: 167 (92%) V: 165 (96%) W: 4.0 (60%) Programs Applying: Statistics PhD Research Experience: 1 Peer-reviewed publication, 2 summers of research as an undergrad, presented at local/state conferences for undergraduates (won some minor awards), Graduate Research Assistant for one year, which I assume will lead to a publication Awards/Honors/Recognitions: Phi Kappa Phi Outstanding Scholar, wrote grants which resulted in $5000 in funding for my research, Goldwater Scholarship Nominee, Honors College "Excellence in Research" Award Pertinent Activities or Jobs: Math tutor when I was an undergrad, Teaching Assistant for one semester, Research Assistant for three semesters in grad school Letters of Recommendation: Two from professors I have done research with (one young in her career, one a bit older with a good reputation), one from either my department head (who is on my committee) or from another prof on my committee with a good reputation Any Miscellaneous Points that Might Help: my masters degree (and the qualifying exams I have taken) are the first part of the PhD program at my institution, so I have proven myself in some advanced courses (Measure Theory, Computational Statistics, Asymptotic Statistics) Programs considering: Personally, I am from the middle of no where in the midwest, and I would ideally like to move to a location with better weather, more interesting terrain, and/or a good music/art scene. Academically, I am interested in machine learning/computational statistics, and, in particular, like working with text data. On the side, I am also interested in data visualization. Academia could be in my future, but I would like my program to have good industry ties. If possible, I would prefer a small-medium department to a large one. Very interested: New York University (NYU) (Data Science PhD) (My favorite program that I have seen. I like the research areas and industry ties, are there other programs like this I could apply to?) University of California, Los Angeles (UCLA) University of Texas at Austin (UT Austin) Interested: University of Washington Columbia University Iowa State University (Visualization group is very interesting) University of California, Irvine Also Interested but, I haven't done a lot of research into these departments University of Chicago Duke University Rice University University of Michigan Do you think I am competitive at these programs? I would like to remove some of these schools from my list and replace them with some safer schools and ultimately end up with 5-7 to apply to. These are also all fairly larges departments, and I think I am much more suited to a smaller one. Any suggestions are welcome.
  10. Hi all, I'm in the process of teaching myself a new stats programming language to add to my resume for applying to grad school. Most people have told me to learn R, which is what I'm leaning towards, but I'm wondering how beneficial learning R is for jobs outside of grad school? For instance does anyone have any data on salary differences for people in stats/research fields who are proficient in R vs. people who aren't? Or even salary differences for proficiency in R compared to SAS, SPSS, etc.?
  11. Statistics/Social Science Fields?

    Hi all, I'm a rising senior this year double majoring in Statistics and Psychology. I really love both of these fields and want to pursue doing statistical research in the social sciences in graduate school (specifically masters programs). The only problem is I'm not sure what programs or field would best combine statistics and social science for me. From what I've seen, most psychology/stats programs are about psychometrics which mainly concerns working in the field of education which I have no background in and know very little about. I've taken a class on networks and social network analysis and I'm very very interested in that, but unsure what graduate programs would specialize in that or what kind of career that would lead to. I excelled in my Psychology Research Methods courses and really like doing that kind of research, but there are very few quantitative psychology masters programs. Does anybody have any advice for potential career options and for strong masters programs? Again I'm really interested in applying statistical modeling and methods to study human behavior and population trends. Thanks for your help!
  12. Hi, all, This might be some kind of unusual application. I've been out of school for more than 5 years, and been a data analyst for that long. And I got very low under GPA(2.4) but good MS GPA(3.9). I'm wondering what my chances would be of getting into a phD program, or where should I aim based on my profile. Should I retake my GRE (since only 148 in verbal), or should I take a GRE math subject test even it's not required? Any suggestion would be appreciated, thanks! Below is my profile Undergrad Institution: Top 1 university in my country GPA: 2.38 (very low...) Type of Student: international, female GRE General Test: Q 170; V 148; AW 3.5 Graduate Institution: Top 1 university in my country Major(s): Epidemiology Degree: Master of Science GPA: 3.95 Research Experience: 3 journal publications, but all not first author Pertinent Activities,Jobs: 5+ years data analyst (3+ biostatistician) Letters of Recommendation: 1 from a professor of biostatistics (my master advisor), 1 from my former employer and 1 from current employer. They should all be good. Computing Skills: R and SAS Programs Applying: PhD in Biostatistics/Statistics Want to Apply to: - John Hopkins (Biostat) - U Michigan (Biostat and Stat) - U Minnesota (Biostat) - Emory (Biostat) - Iowa State (Stat) - NC Stat (Stat) - UC Davis (Stat) - U Pittsburgh (Biostat) or any other suggested institution
  13. Undergrad Institution: Low-ranked non-flagship state school Major: Mathematics, CS minor GPA: 3.95 (4.0 in math) Type of Student: DWM Upper Division Courses: Real I/II, Mathematical Statistics, Categorical Data Analysis, Abstract Algebra, DEQ, Set Theory (grad level) GRE: 169V/170Q/5.5W Awards/Honors/Recognitions: Generic math department awards/ high gpa awards Research experience: Past summer at top 15 biostatistics department in clinical trials, two working papers in stat, one r&r in graph theory Pertinent Activities or Jobs: Student teaching assistant in math department Letters of Recommendation: Math department chair, young stat professor from department, leader of data coordinating center from top 15 biostat department Research Interest: Clinical trials, specifically Phase I and Phase II (I want small grant hell for the rest of my life), and structural neuroimaging (Plan) to apply to (PhD Biostatistics Programs): Harvard Johns Hopkins UNC Michigan Emory Minnesota Florida State (hopefully safety) SMU (hopefully safety) Possibly (PhD Statistics): Purdue Texas A&M South Carolina (safety) Random: Notre Dame AMSC (one adviser in particular) I worry I may be aiming too high on the biostats side. I would love anyone's opinion/advice! Thank you all in advance.
  14. Here is my profile, Undergrad Inst.: 1st in my country Major: Computer Science GPA: 3.78 Grad Inst.: 1st in my country Major: Computer Science GPA: 3.88 I wrote my master thesis in Bayesian statistics. I should mention that I did not take any real analysis course. Type of Student: International male GRE General: 150V, 169Q, 3AW TOEFL: Not taken yet, but expected ~100 Programs Applying: PhD in Statistics Research Experience: 1 paper was submitted and presented, 2 will be submitted before the application. Letters of Recommendation: One is from my thesis advisor, two are from math&cs professors Computing Skills: Fluent in many PLs: Python, C/C++, Java, Matlab, R, .... I've written many statistical inference programs. Applying to Where: This is where i need your suggestions. I do not know where to begin. My only criteria is I need funding. What would be my safe picks?
  15. I work for a company in Michigan and we're looking for a statistics course that members of the company could take remotely or have a representative come on site and teach for a certain number of hours a week. I'd love some recommendations for good reputable programs or institutions that can help us. Thanks!
  16. Hello, I am looking for honest advice about graduate programs that I might have a chance of getting accepted to. I am an upcoming senior majoring in pure math at a small mid-tier private institution. I nearly have a 4.0 GPA (except for an A- in philosophy) and will be taking both the general GRE and math GRE in October. I have taken a variety of proof-based math classes, two comp sci classes, and will be taking probability and statistics soon. I've participated in an REU at my home university and am currently doing research with a different professor at my home university (both these projects were for pure math). I recently submitted a paper (not yet accepted) to a respected journal. I have a strong relationship with many of my professors and I will hopefully have a few good letters of recommendation. I am planning to apply for three fellowships, including the NSF-GRFP. Looking into PhD programs in Statistics, I am unsure if I would be a competitive applicant given that my school is not well-known. I have talked to a Statistics professor from my school who suggested that taking more stats classes would help my application. Because I am pessimistic about getting into a top-tier program for Statistics, I am wondering if anyone has any advice about what schools I could apply to. I don't want to aim too low and prevent myself from getting into a good school. But I am afraid that I might not get into any school at all if I aim too high. Honest feedback and responses are welcome. Thank you!
  17. Hi, I was wondering what my chances would be of getting into a top 25 statistics phd program? as well as a top 50? Below are my stats: Undergrad Institution: Large public university Major(s): Statistics Minor(s): GPA: 3.82 Type of Student: Female, White, Domestic GRE General Test: 149V, 157Q, 3.5AW Programs Applying: PhD in Statistics Research Experience: One semester of statistics research at home university, two summers of statistics research at national lab. Currently have 5 published journal/conference papers. Have presented at about 4-5 conferences. Awards/Honors/Recognitions: Deans List, Omicron Delta Kappa Honors Society, Pi Mu Epsilon Honors Society, Mu Sigma Rho Honors Society, Honors College Pertinent Activities or Jobs: Have worked as both TA and RA for home university and intern for national lab two summers in a row Letters of Recommendation: One is from my advisor at national lab (wrote multiple papers together) and other two are from professors I had for my entire junior year (assuming will be good) Relevant Courser Work: Math and Stat Courses: Combinatorics (A), Mathematical Reasoning (A), Statistical Computing (A), Mathematical Computing (A), Linear Algebra (A), Differential Equations (B), Probability Theory (B), Advanced Calculus (B), Multivariate Calculus (B), Nonparametric Statistics (A), Regression (A), Statistical Methods I (A), Statistical Methods II (A), Mathematical Statistics I (A), Mathematical Statistics II (A), Linear Models (A), Statistical Inference (A), Applied Statistical Computing using R (A), Time Series Analysis (A), Real Analysis (A) Computing Skills: R, MatLab, SAS, SQL, SPSS, LaTex, VBA, Python, C Applying to Where: Purdue NC State UC Davis UC Berkeley University of Connecticut University of South Carolina Columbia Univ of Illnois at Urbana-Champaign Rutgers University of Kentucky UNC (INSTORE) University of Michigan University of Pittsburgh (assuming good sop) Also, any advice/words of wisdom would be great! Thank you!
  18. Hey, I am a Canadian looking to apply to (Bio)statistics programs for the Fall 2018 term. I think my profile would do pretty well at some Canadian universities, but I have no clue what my chances are at US universities and I don't want to spend too much money on a bunch of schools that will likely reject me. So here's my profile. Please let me know what you (honestly) think. Undergrad Institution: One of the big Math/Statistics schools in Canada (one of U of T, U of Waterloo, UBC) Major(s): Statistics and Math Minor(s): GPA: Cumulative: 3.89/4.0, Major: 3.93/4.0 Type of Student: Canadian Male Calculus 1-3 (A+, A, A-). Linear Algebra 1-2: (A, A-). Advanced calculus / introductory real analysis (A+). Abstract Algebra 1-2 (A+, A+). Mathematical Logic (A+). Mathematical Statistics (a la Bain/Engelhardt, A+). Regression (A+). Computational methods in Statistics (A+). Introductory stochastic processes (A+). I haven't taken the GREs yet. GRE General Test: N/A Q: V: W: Programs Applying: Statistics and Biostatistics Research Experience: One part time RA with a Statistics professor. One full time RA with a different Statistics professor. Awards/Honors/Recognitions: NSERC USRA (I believe this is similar to REUs in the US) Pertinent Activities or Jobs: Worked as a Software Engineer at a couple tech companies and as a Junior Statistician at a medical institution. Letters of Recommendation: Probably 4. Did research in some capacity with all 4. At least two of them should be very good. Any Miscellaneous Points that Might Help: Dropped a math course to make time for part-time research. This might be seen as a bad thing. Also, I am currently working on a paper but it likely won't be published until after I submit my application. However, one of my letters of rec will likely speak about it. Applying to Where: Have not decided yet. I'm looking for input here. I am heavily biased towards universities in (or close to) larger cities and schools that accept many applicants. As such, I've currently thought of: (All Statistics and/or Biostatistics PhD) Columbia Harvard UWashington-Seattle University of Minnesota - twin cities UCLA Boston University Emory North Carolina State University UChicago UPenn I'll also apply to a few Canadian schools. Thanks for your help!
  19. Stats PhD Chances

    Need some help, thought I'd make an account an ask...Do I have any chance of getting into a decent Stats PhD? I'm a junior attending an "elite" US institution (top 15), but don't have a solid GPA (3.54). I'm majoring in Stats and Economics, and my major GPA is around a 3.6. I've taken calculus and linear algebra, but have no advanced math classes, although I do plan on taking real analysis in the Fall. I have no research experience. I don't have a great relationship with any of my professors. ...All that said, how screwed am I? I literally never considered a PhD before this month, so I never bothered to research or do anything. At this point, I'm left coasting on my university's name, which I'm still not sure will get me anywhere. If anyone could chance me in general and recommend me schools that I could actually get into, I would be highly appreciative. My top two schools are Rice and UTAustin at this point, but I'm not sure I could get into either... Edit: Haven't taken the GRE yet, but I'm expecting a 90% percentile+ in the Quantitative section...I feel like the only thing I can do is standardized tests. I'll probably look into the Math GRE subject test as well and try to study over the summer...
  20. I'm a Canadian entering my fourth year of undergrad and I think I'll get into any school I desire in Canada. I'm looking at top US schools that are in cities I'd enjoy living in, and have research interests matching mine. For instance, my one supervisor is close with some people at Cornell and would like me to go there for OR but I'm not living in Ithaca for 5 years. I know from looking at past profiles I seem like a strong candidate but it's hard to say since I'm Canadian, so any thoughts you guys have would be much appreciated. Undergrad Institution: One of the top 5 math schools in Canada Major: Financial Mathematics (offered in the statistics department here) Cumulative GPA: 3.96/4.00 Major GPA: 4.00/4.00 Type of Student: White Male Upper Division Courses: Math: Multivariable Calc (A+), Advanced Linear Algebra (A+), ODE (A+), PDE (A+), Numerical Analysis (A+), Probability Theory (A+), Statistical Theory (A+), Real Analysis (A+), Optimization (A+) CS: Algorithms (A+) I will have a Measure Theory course and a graduate course in Stochastic Processes by the time I graduate, along with the usual fourth year stats courses. Lowest mark in my entire degree is an A- (took a film course for breadth requirements). GRE: 167Q, 163V, 4.5W Not writing the subject test. Research Experience: Summer research project in Queuing theory and simulation Awards/Honors/Recognitions: NSERC USRA (same idea as an REU in the states) Pertinent Activities or Jobs: Insurance Analyst intern, Telecommunications Data Analyst intern Letters of Recommendation: -Two statistics professors (both were supervisors for me during my USRA) -Analysis professor (knows me quite well, is also the chair of the math department here) Plan to apply to (Phd Statistics Programs): Toronto, Chicago, Columbia, Penn, MIT (Operations Research), and Waterloo (MMath first)
  21. Hey everyone, this is my first post! I'm excited to take upon the journey of applying to graduate school. I'm an upcoming sophomore, so I'm taking this pretty early and seriously. I had a rough freshman year due to depression and other personal unique circumstances, but I should work things out & should be all gone once school starts again. I'm planning to briefly discuss about that in my personal statement, but I have a lot of time. =) It's never too early to start. Anyway, my research interests thus far are leaning to applied statistics; notably speaking, design of experiments/experimental design, inference/analysis, and algorithms (bootstrap). I am doing a minor in Philosophy so you could see how my research interests came to be. I don't mind anything pure as long as it can be immediately useful to society. Obviously it may change later on but it may not. Onto discussion, I have looked at schools that has what I want and need. I'm probably doing Stanford and Duke as well as definitely doing UC Berkeley and UCLA. I also have Northwestern on my list, but one big issue I have is the selectivity. Northwestern is No. 34 in Stats (US News)/No. 40 (Great Value Colleges), which isn't as great. I expected a very selective acceptance rate, but it's still most selective (5.4%). http://www.tgs.northwestern.edu/documents/program-statistics/S25PH_adm_enr.pdf Also, what are the match and safety schools? Are safety schools just applying to M.S. programs nearly disregarding reputation? Are match schools those who aren't as prestigious as the top 10, or are there none since getting into a PhD program is hard on its own? Thank you all!
  22. Hi All, I did a Masters in Berkeley in Statistics, fell in love with it, and am now applying for a PhD in Statistics. Would anyone be willing to read over my statement of purpose? What follows is my first draft, and I'm really not sure how to feel about it, so any comments are appreciated. Notes / Questions are in italic font. ------------------------------------------------------------------------------------------------------------------------------ Since I can remember people told me that the only people that amount to something are “practical” people: engineers and the likes. I did not, and still do not, want to accept that premise. Because I am about as clumsy as a Panda bear. And because my passion lies in Statistics. As the first of my family to go to College I felt bad for the financial burden I put on us, so I gave in to the pressure. I studied Industrial Engineering and had my life cut out for me: Finish my Bachelors, start working in a Consultancy. Luckily things changed last year. The Fulbright Commission enabled me to spend a year finding and pursuing my passions, free from financial worries and far away from pressure from my family. Do you feel like I should delete these 2 paragraphs or put them in a personal history statement? Any other comments here? Because I worked for three semesters at the Statistics Department in city ABC during my Undergraduate I knew I liked the subject, and after my Masters I now know I am passionate about it. The project work at Berkeley has shown me the joy, and frankly also a sense of pride, in coming up with ideas no one had before. It has also shown me the frustration that every researcher has to suffer at some point, and the fact that I not only finished the project, but finished it successfully strengthened my resolve to do a Ph.D. Should I be more specific about the project work? We are trying to get it published, but I'm not sure if we will in time. So include specifics? Throughout my Undergraduate career I found myself studying the same things again and again. Worse even, I still forgot much of what I studied. [DC1] The Causal Inference reading group with Prof. XYZ during my masters showed me how to best retain and cope with a huge amount of new knowledge. There I also learnt how to approach new subject matter independently. While there have been academically more rewarding classes, the reading Group has given me a taste of what a Ph.D. would be like, and shown me that I would enjoy doing one. The aim here is to tell them that during my masters I already got a taste of a PhD and decided that I'd like to do it. Because the masters is a "Professional Degree" the commission commitee might ask itself what changed that I wanna do a PhD now, so I'm trying to adress that point here. Do you think I should adress it more explicitly? The reading group and the causal inference class I took in Berkeley showed me the relevance of applied statistics for their respective fields and taught me how important proper statistical education is for most researchers. I thoroughly enjoyed both courses and would love to work in this area. Professor XYZ and ABC have been inspiring teachers and conduct research in areas that I would love to immerse myself in. A unique thing about statistics is that it gives us methods to draw conclusions about data. Especially if we are able to draw causal conclusions those conclusions can change lives. Here I wanna talk about causal inference, that I liked and would love to do more about it. Do you think that's not explicit enough? I am wary about committing myself prematurely to a specific topic of research, but am very excited about Causal Inference and would love to make my own small contribution to the advancement of the field. What makes Causal Inference special is that advancements have immediate and real impact on a wealth of studies and their results The cross-section and cooperation between Statistics, Biostatistics and Public Health in DOTDOTDOT (don't worry, it's not a generic statment) make it an ideal environment for me to develop my interests and foster fruitful discussions. There's also a last sentence, that's too personal for me to post. I can PM it to anyone interested. Also, feel free to correct any spelling mistakes, I'm not from the states so a couple of them might have gotten in there. Thanks, Dario
  23. Institution: University of Michigan - Ann Arbor Major: Chemical Engineering BSE, minor in Statistics GPA: 3.01/4.0. 2.7/4.0 in major, 3.4/4.0 in minor. Nearly failed sophomore year, very strong upward trend (3.35 over last 3 semesters) + A's in last two upper-level stats classes. GRE: 167 V / 170 Q / 6.0 AWA Relevant Courses: Multivariable Calculus (Honors): B, Intro to Computer Science: B, Intro to Stats & Data Analysis: A-, Intro Probability: B+, Intro Quantitative Research Methods: B-, Applied Statistical Methods II: A, Statistical Problem Solving in Chemical Engineering: A, Chemical Engineering Lab I (had heavy stats component): A- Research Experience: One full year as a programmer in reasonably selective computer science lab. Wrote a proposal that let me travel to a prestigious conference. One summer doing basic data analysis for a lab. Three semesters developing modules for a chemical engineering encyclopedia. Work Experience: I'm a recent graduate and am currently working as a quality engineer at a large auto parts supplier. I also had an internship before my senior year in quality where I developed skills in Minitab and JMP. I'm applying to work as a GRE tutor for Kaplan/TPR; I don't think this job should be difficult to get. Letters of Recommendation: A lecturer who I had four classes with (two engineering, two statistics). Made a form of A in three of them. My research supervisor who was also my academic advisor. Should be extremely strong. Supervisor for my internship. He definitely liked me and I left a good impression. I'm a domestic student, white male. I would very much like to do an MS in Applied Statistics at my alma mater, University of Michigan (high ranking program plus could live at home to save money). I have no interest in pursuing a PhD; I want to go into industry after I graduate. UM's Applied Statistics MS does not penalize you for missing a couple pre-reqs (I'm missing linear algebra and theoretical stats). I'd like to know how I stand currently and how I could improve my application when I apply this Winter for a Fall 2018 start.
  24. Undergrad Institution: Stony Brook University (Large State School, has a good reputation for my majors) Major(s): Physics, Applied Mathematics and Statistics Minor(s): GPA: 3.35 (AMS GPA is 3.6) bad grades mostly in sophomore year. Type of Student: International, Male, South Asian GRE General Test: Will be taking soon. Anticipating > 95% V scores but around 90% Q score. GRE Subject Test in Mathematics: How important is it that I take this? I don't really have time to study for another test on top of the GRE and my demanding final year schedule. Programs Applying: Masters in Statistics/Masters in Data Science Ideally I want to apply for Phd programs but given my crappy undergrad record, I've decided to apply for masters and see if I can get into the Phd programs later on. Research Experience: Essentially none. Did some linguistics research not related to statistics with a pretty famous guy but that was a while ago and no paper came out of it. Awards/Honors/Recognitions: Deans List, Physics Honor Society. Pertinent Activities or Jobs: Irrelevant on-campus job for 3 years and currently doing a data analyst internship at a very small marketing agency. Letters of Recommendation: The School is HUGE and all my classes are >100. Its very hard to get to know professors and this is likely the weakest aspect of my application. I will get recommendations from professors I've taken courses with and gotten As but that's about it. I don't even expect them to remember me or know who I am and I just don't see any way around this. I can try to cultivate some relationships till application time in December but I don't really know how to or how successful I will be. Courser Work: Math and Stat Courses: Survey of Probability and Stats (A), Probability Theory (A-), Combinatorics (A-), Data Analysis (A), Deterministic Models (A), Statistical Lab (Basically a course on R programming and SAS), Calculus 1,2,3,4(Taken in Sophomore year so grades are mostly Bs and a C in multivariate), Linear Algebra(A-). Probability and Statistics for Data Science (In Progress) Physics Courses that may be relevant: Quantum Mechanics (Some probability and lots of Linear Algebra)(B-), Statistical Mechanics (Lots of probability)(B-) Computer Science courses: Object Oriented Programming (A), Data Structures (A-), Analysis of Algorithms (In Progress), Probability and Statistics for Data Science (In Progress), Computational Geometry (combined course by Computer Science and Applied Math department also in progress). Online MOOCs: 4 course specialization in Python by Uni on Michigan (Coursera), 10 course Specialization on Data Science by JHU (Coursera), Machine Learning Course by Andrew Ng (Coursera). Applying to Where: Iowa State - MS Statistics UW Madison - MS Data Science UC Davis - MS Statistics U Iowa - MS Statistics Rice - MS Statistics Rutgers - MS Data Science (Statistics track) UI Chicago - MS Statistics U of Colarado Denver - MS Statistics USC - MS Data Science UIUC - MS Statistics UT Austin - MS Statistics Georgia Tech - MS Statistics Northwestern - MS Analytics JHU - MS Statistics Some of these schools are obviously reach school and are not realistic but I'm extremely worried about my GPA and recommendation letters. If this doesn't work out for me, I essentially have nothing to turn to so there's a lot riding on this. My GPA is mostly bad cause of sophomore year courses which included important things like multivariate calculus and Physics courses which are either freaking hard at this school or just didn't jive with me. Math and Stats otherwise is pretty decent. How can I improve my application? Is there anything here I can leverage? How can I build enough rapport with a prof to get a good recommendation letter in 1 semester? Do you have any other advice or suggestions? Any other programs you think I should consider? Any other Specific courses I should take?
  25. How common is it for Statistics PhD programs to fly out prospective/admitted domestic students? I am trying to plan for possibly buying multiple plane tickets for visits (I would like to visit all programs that admit me with funding). In particular for the following programs: Rice University Kansas State University University of Missouri - Columbia Florida State University Virginia Tech University University of South Carolina North Carolina - Chapel Hill