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Found 148 results

  1. 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!
  2. 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!
  3. 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!
  4. 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!
  5. 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...
  6. 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)
  7. 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!
  8. 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
  9. 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.
  10. 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?
  11. 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
  12. I'll be graduating with a BA in Economics in 2018, but I'll try for a Master's in Statistics. How much of a detriment will the fact that my Bachelor's is in Economics rather than Math/App. Math/Statistics be, if at all? I have taken Introductory Stat, Econometric, and Applied Data Analysis courses along with math courses such as Linear Algebra, Differential Equations, etc. Further plan on taking Advanced Calc. and Real Analysis in upcoming Fall Semester. I also passed exam Probability of the Society of American actuaries in my first year, and did an internship in the Statistics and Information department of an international organization
  13. About me: I graduated 5 years ago with a BA in English & Spanish. After working in public health for about a year I went on to do a MS in Epidemiology, which I loved and did well in. Both degrees were done in the UK. Moved back to the US 2 years ago thinking I might want to go to medical school, so have been working in clinical research at a large academic school and taking med-school pre-reqs (bio, physics, chemistry, biochem, etc) on the side. After working closely with physicians and getting to see a lot of different elements of clinical medicine/research, I am reconsidering my career path (again...), and am becoming more interested in the research/bioinformatics side of medicine. Luckily my MS was quantitatively strong and I have taken classes in calculus, biostats, bayes, and infectious disease modeling already. For those accepted to, pursuing, or graduated from a PhD in stats/biostats...what do you think my chances of acceptance are? If 0, what would improve them? Thanks for your advice!
  14. The question is: "There is a belief among students that if they go to office hours, it will increase their midterm exam score by 5 points. Evaluate this belief by means of an appropriate t test." The data are presented as the midterm exam scores in one column (quantitative variable), of 100 students, and ‘went to office hours or not’ in another column (categorical variable, which can be recoded as a dummy variable with 0 as went and 1 as didn’t go), which describes each of the 100 students. I added two new columns, copying and pasting the scores of those people who went to office hours into one of the columns and the scores of those who didn’t into the second column, for the analysis. That is, one column has the title 'scores on midterm for people who went to office hours', the second one 'scores on midterm for people who did not go to office hours'. I think the H0 is then that mean1 minus mean 2 = 5, and the alternative hypothesis is mean1 minus mean2 is not 5. My question is: Do I use the paired samples t test here or an independent samples t test (with either equal or unequal variance (it's unknown whether the variances are equal or not))? Thank you!
  15. Hello all, So my name is John Thomas, rising senior at Ursinus College. I am doing undergraduate research at both Ursinus and Temple, and doing an internship at a national taste testing facility known as RDTeam. I created my own major in Statistics here and am the first of my kind. Starting out as Bio, I had grades in the mid 2's , speaking GPA. I have climbed up to a 3.12 cumulative and will be taking probability in the fall. This is also when I will be applying but my fear is that I will not be considered since I will not have taken 3 courses in my major (Differential Equations, Mathematical Statistics, and Linear Regressions) at the time of my application. I would ideally like to get into a PhD program right out of college but I fear without these courses on my transcript I will not be able to. What are some ways I can overshadow this, or should I just put all my marbles into starting out as a Masters student? Also, if anyone has any east coast theoretical statistics programs, please list! Thank you all -John
  16. Well, I promised in the other forum that if no one else did this I would. Follow the template below, and post your profiles / results. These posts have been indispensable for future applicants and are extremely helpful for prospective students that have no idea where they should apply / have a shot. Also note that TGC limits the time in which you can edit your post, so you may wish to post your results in your signatures so you can change it (if you haven't already heard back from everywhere / almost everywhere). Undergrad Institution: (School or type of school (such as Big state/Lib Arts/Ivy/Technical/Foreign (Country?)) Major(s): Minor(s): GPA: Type of Student: (Domestic/International (Country?), Male/Female?, Minority?) GRE General Test: Q: xxx (xx%) V: xxx (xx%) W: x.x (xx%) GRE Subject Test in Mathematics: M: xxx (xx%) TOEFL Score: (xx = Rxx/Lxx/Sxx/Wxx) (if applicable) Grad Institution: (school or type of school?) (if applicable) Concentration: GPA: Programs Applying: (Statistics/Operation Research/Biostatistics/Financial Math/etc.) Research Experience: (At your school or elsewhere? What field? How much time? Any publications or conference talks etc...) Awards/Honors/Recognitions: (Within your school or outside?) Pertinent Activities or Jobs: (Such as tutor, TA, etc...) Letters of Recommendation: (what kinds of professors? "well-known" in field? etc.) Any Miscellaneous Points that Might Help: (Such as connections, grad classes, etc...) Applying to Where: (Color use here is welcome) School - Program / Admitted/Rejected/Waitlisted/Pending on (date) / Accepted/Declined School - Program / Admitted/Rejected/Waitlisted/Pending on (date) / Accepted/Declined School - Program / Admitted/Rejected/Waitlisted/Pending on (date) / Accepted/Declined
  17. About myself: Institution: University of Houston - Downtown Major: Applied Statistics, BS Minor: Math GPA: 3.5 cumulative, 4.0 major Type of Student: international female Graduating in Spring 2018, I plan to apply to Ph.D. programs Fall 2018. Classes took: Prob and Stats (A), Stat Analysis for Sciences (A), all lower stats classes A's, Discrete Math (A), Linear Algebra (A), Cal II (C), Cal I (B) Classes registered (Fall 2017): Analysis, Applied Regression, Stat Computing, Stat Quality Control I'm will be tutoring for Cal I on campus starting next semester. Unfortunately, I don't have any research experience as I just switch to Stats BS last semester. I'm working on my senior project next semester and hopefully get everything done by the end of Fall 2017 to apply to schools. I'll be taking GRE in September/October. I have two questions 1. What schools should I consider applying to in order to get fully funded, even as international? 2. What else can I do to strengthen my profile? Also, any advice would be appreciated! Thanks.
  18. Hey all, I am planning on applying to graduate school in statistics. Would you recommend taking the math subject test? Thank you
  19. I'm new to this site so please forgive any breach in protocol. I am currently a math and physics double major at my undergrad institution, which has a small grad program, but I am not particularly interested in attending there. I plan on applying to phd programs in statistics, despite no research in mathematics, although I do have research experience in physics. I also was not able to take any graduate courses because of the double major. I have yet to take my GRE's, though I expect decent scores on general, and I am not sure whether I will take the subject. My gpa is a 3.88, a little higher for math, a little lower for physics. My letters should be really good, although none will come from statistics professors. My question is, is this an issue? Also, what schools would be attainable given the information provided, how many schools to apply to (ie; safety, target, reach). Thank you.
  20. I've narrowed down my final two choices for a PhD beginning Fall '17 to Johns Hopkins University's Department of Applied Mathematics and Statistics (School of Engineering) and Brown University's Department of Biostatistics (School of Public Health). I've been accepted at both. I'm interested in applied statistics (I have work experience in data science and an M.S. already), so biostatistics sounds like a natural fit. I'm curious about the reputation of the Brown program. It seems small but mighty! My concern is that by going to Brown, I'm throwing away the opportunity to rub shoulders with JHU Biostatistics (they rejected me), but I suspect it's better to like the department you're in rather than the department you're near. I haven't heard much about JHU AMS. Thanks in advance for your $0.02.
  21. I am applying to Statistics PhD programs for the 2018 season. I have done a few practice tests on verbal and quant and thus past week I did my first essays. The argument essay I get, but the issue task is not up my alley at all. I would give myself right now a 2.5 on Issue and a 4 on Arguement. My verbal is around 160, and my quant is around 163 (trying to get it up to 165+). I am a native English speaker, and I have a research paper I am working on getting published as a writing sample. Does my AWA score really even matter? Do the separate scores (i.e. I-2.5, A-4) get reported or is there just the final score on the score reports sent to colleges?
  22. Hey everyone! I am wondering which one should I choose. Columbia University is a big name and it locates in NYC. However, I heard the reputation of their Statistics program is not that good in recent years. I really like University of Michigan, it has relatively small class size (about 30) and the school overall has a good reputation. But Quantitative Finance and Risk Management (QFRM) is a new program (opened in 2015) and its location is not as good as Columbia's. The key parameter I am considering is job placement. Thank you for your help!
  23. I've already considered about my decision for two days but I cannot figure out anything. I'm graduating with a statistics BS this spring, and I plan to become a data scientist after earning my master degree. NYU definitely has a better location, and the program is very good and popular. I believe it's easier for me to get a job if I choose nyu. However, Duke is a world-renowned school and the MSS program is also among the best nationally and internationally. I just don't which one to choose, and I have a strong feeling that the decision will affect my future...
  24. School: Large Public Research University (40-45 ranked math department - USnews ranking) Major: Mathematics, Computer Science Minor: Economics GPA (Cumulative): 3.81/4.00 (Math): 3.9 Mathematics Coursework: Calculus I,II,II (A-,B,A-), Discrete Math (Intro to proofs) (B+), Linear Algebra (Proof-Based) (A), Ordinary Differential Equations (A), Real Analysis I (A-), Real Analysis II (A), Abstract Algebra I (A-), Complex Analysis (A), Linear and Nonlinear Optimization (A), Financial Mathematics (pretty much just a course in stochastic calculus) (A), Numerical Analysis (next year), Partial Differential Equations (next year) Statistics/CS Coursework: Probability Theory (A), Statistical Theory (A), Graduate Machine Learning (A), Data Mining (A), Financial Econometrics (A), Time Series (next year) Math Courses with Ws (and then retook for A/A-): Calculus III, Abstract Algebra I, Probability Theory GRE Scores: 169Q, 165V, 4AW (I was going to apply this year, but decided to finish up my computer science degree by taking a 5th year, and add some more research to my profile) Letters: 2 from professors having done research, 1 from professor I took several classes with (opportunity to do research with next year too - see below) Research: -non-relevant to statistics (both in number theory): Semester Research Project, Summer REU -relevant: year long research opportunity (if I accept - see below) PhD Programs (preferred) : Chicago, Michigan, Harvard, CMU (joint machine learning - honestly, I never see anyone get admitted to this though), Berkeley, Wisconsin, Penn, Penn St, Duke, University of North Carolina, North Carolina State, Columbia, Cornell, Purdue, UCLA MS Programs: Harvard, Stanford, Chicago, CMU, Berkeley, Duke, Washington, UCLA (trying to keep this top heavy, since the consensus is that masters are easier to be admitted to) I have quite a bit of interest in machine learning, and would prefer going to a program that has some faculty doing research in this area, but I wouldn't say it is a deal breaker (i.e. if I was admitted to Chicago I'd go, regardless of the minimal research in ML). Some Questions: 1. I have four W's, three of which are in relevant mathematics classes (listed above). I was struggling financially at the time, father was laid off and not able to find steady work. During these periods, often of which were not given with much heads-up, I had to take on 40 - 60 hours of work and could just not keep pace will all of my courses. Figured it probably better to withdraw and retake, rather than take a C. How much weight will this have on my application? 2. Would it be more beneficial to complete a undergraduate thesis OR one year of statistics relevant research with a professor?
  25. Hi, I am Esther. My major is statistics and I hope I can enhance my programming and language skills via a master degree. Also, I hope to learn some data science knowledge. I am quite glad that I can receive AD from UCB, Umich, Duke and UIUC. i am now an actuarial analyst with ASA license and hope to find a analyst position (especially in actuarial firm) in US after completing my degree. I am not really sure which university should I choose. In my opinion, Umich and Duke are two years duration, so I would have more time to find an internship during summer term. However, UCB has better location but shorter time. All of them contain some data science courses. I am really appreciate any advice that anyone provide me.