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Found 239 results

  1. Greetings everyone! I am planning to apply for Biostatistics Ph.D./statistics master programs this fall. I am humbly and sincerely asking for your gracious advice! Below is my background: Institution: Top UC's (Statistics program ranking: 31) Major: Applied statistics (concentrating field: mathematics) I know it is weird... My intention is to learn more math since I switch my major from applied mathematics. GPA: 3.5 Type of Student: International Asian Male GRE General Test: Not taking yet, will do soon Programs Applying: Ph.D. in Biostatistics/Statistics Research Experience: 1 year of RA in biostatistical research experience and currently working on Large-scale biostatistical data mining. Teaching Experience: One-quarter of Learning assistant for calculus Letters of Recommendation: One from my research advisors, two from my statistics professors Relevant Courser Work: (P means Pass, some are optional) Math and Stat Courses: Cal 1-4: All (A's) | Linear Algebra: (B) | Elementary Statistics: (A) | Intro to Abstract Math: (C+) (with 70% of the class below C- range) | Differential equations for: (P) | Real analysis_1: Pass | Real analysis_2: C | Regression analysis: B | Statistical Data Science: B+ (right after I switched to statistics from Applied math major, without any R experience beforehand, worked really hard) | Probability theory: (P) | Time series: (C-) (was taking 5 upper divs at one quarter, trying to allay from my tuition burden, trying to finish in 4 years, therefore admitted sacrifice) | Nonparametric statistics: (C) (medical condition) | Analysis of categorical data: (C+) (medical condition) | Analysis of Variance: (B+) (mental medical condition)| Mathematical statistics: (A-) (medical condition) | Euclidean Geometry: (B+) (still in love with proof writing, want to prove myself) | Applied statistics: (B+) | Advanced statistics undergraduate independent study: (P) | Programming and problem solving: (B) (C language) Computing Skills: R (Proficient, but still learning and exploring), Matlab Applying to: UC Berkeley-biostatistics (master) Stanford - statistics (master) UCR - statistics UCSC - statistics SMU - biostatistics Duke - Biostatistics Columbia - Biostatistics University of Michigan - Biostatistics UIUC - statistics Notre Dame - Statistics University of Minnesota - Biostatistics CMU - statistics in Public policy University of Pittsburg - biostatistics NCSU - statistics Uccon - biostatistics ISU - Statistics USC - Biostatistics UCLA - biostatistics Yale - Biostatistics I am pretty sure that I am not competitive enough since both my math/statistics class rarely curved (Statistics department is known for the epitome GPA deflation ) I am preparing for the worst to come. Please enlight me and guide me through this, thanks! Please be critical for my school selection!
  2. Hi all, I am trying to apply for top 50 programs in US but since I did my undergraduate and currently doing my Master at Canada, I don't really know what my chances are. So hope somebody can help. Undergraduate Institute: Canadian Institution (Top 200 in the world by QS subject ranking) Undergraduate Degree: Financial Statistics Master Institute: Same school Master Degree: Statistics Type of student: International Undergraduate GPA: 3.9 Math & Stats GPA: 4.0 Graduate GPA: 4.0 GRE: 168 Q, 150 V, 3 Writing (Will retake) Courses: Real Analysis I and II, Advanced Probability and statistical inference, machine learning, spatial statistics, Bayesian statistics, statistical computing, stochastic process, computational neuroscience, biostats and epidemiology. Research Experience: Undergraduate research assistant for a professor doing option pricing. Two major poster projects for Master degree. Presented at a regional conference. One Master thesis. Also worked in a neuroscience lab for computational neuroscience. One paper submitted in the field of astrostatistics, don't know whether accepted and won't know before the application. Teaching Experience: Freelance tutoring and working for a tutor company starting from undergrad, TAing an undergrad intro stats course. Coding: R, MATLAB, Python Letter of Rec: 3 letters, one from my main supervisor which I am very close to. Sort of a "big name" in time series. One from my secondary supervisor from astronomy working on astrostatistics, big name in astronomy. Last one from the supervisor in the neuroscience lab, pretty big name in neuroscience as well. List of Schools hoping for: CMU, Michigan, UNC-Chapill Hill, Penn State, Purdue, Yale, UIUC, Rice, Boston Concerns: Fearing that my main supervisor might not be keen to write a strong rec cuz I had a bad professionalism problem with him before. Also I am not quite good on the social-side of things. Also might not be able to get a good GRE verbal because English is not my native. Are the schools I listed realistic? Are the top programs like CMU and Michigan a reach for me? Thanks a lot!
  3. I would like to ask for your opinion regarding my application for PhD programs in Biostatistics 2019. All programs seem to require strong background in mathematics, demonstrated by several semesters in Linear Algebra, Advanced Calculus, ideally Real Analysis and Numerical Analysis as well. Some top programs seem to favor students with previous experience in programming languages such as Python, R or MATLAB. However, I am not sure if PhD programs in Biostatistics also require previous exposure to Biology and/or Genetics of any sorts. I graduated with a bachelor and a master degree with heavy mathematical/statistical components from a top UK institution (my bachelor degree was in fact mathematics with specialization in statistics). But I am not sure if the lack of formal training in biology will be a big disadvantage to me when applying for top Biostatistics programs. Apart from PhD programs in Biostatistics, I am also applying to Statistics programs, where there are faculty members with interests in biomedical sciences. Thanks very much for your opinions.
  4. Undergrad Institution: Top 5 Undergrad Institution, Top 5 for Statistics - USNWR Major: Statistics GPA: 3.1/4.0 cumulative, 2.97/4.0 major (No excuses, I wish I had worked harder. The students here are very smart and talented) Type of Student: Domestic Asian Male Undergrad Courses: Calculus I-II-III (B, A-, B+), Introduction to Computer Science I-II (C+, B-), Computer Systems (B-), Regression (B+), Probability (B), Time Series Data (B+), Statistical Theory I-II (B, C+), Linear Algebra (B-), Discrete Math (B), Algorithms (B) Graduate Courses: Machine Learning (B+) GRE: Q: 170V: 163 W: 4 Mathematics GRE: N/A Programs Applying: Statistics MS Research Experience: Spent both summers as a Research Assistant. Built a large scale data visualization application first summer in a CS institute. Working at a Data Science Institute for this summer. Both are a part of my university. Recommendation Letter: Two with senior researchers that I RA'd for; one from a well-known CS professor that I've taken two classes with. One from a Stat professor that I got along with and may do research with this summer. Coding Experience: R, Python, C/C++ Other experience: Software Engineering Intern for a large consulting company. Worked in their IT Department. Awards/Honors: N/A I have no clue which schools to aim for. Would love MS program recommendations.
  5. Hi everyone, I am looking for some help about my list for Ph.D. programs in statistics. I figured now is as good as ever to post a profile especially because I am starting to work on my personal statement, SOP, and am trying to figure out my life a little more before senior year starts. Any advice is really appreciated as I am pretty different from most of the posters who are on this forum, so I hope my profile will help those who are in a similar boat to me! I apoloigize for the length but my background really isn't the traditional application you would see. Undergrad Institution: Small LAC in PA Major: Mathematics and Finance GPA: 3.45 (overall), 3.3 (Math) Type of Student: Domestic White, also a very well decorated NCAA athlete, if that helps Courses/ Background: Calculus I-III (B+), Linear Algebra (C+) , Mathematical Statistics I&II (B) , Transition to abstract math (proof writing) B+, Combinatorics and Graph Theory (B), Math Analysis (B), Experimental Mathematics (A), Independent study: Statistics; researching rivalries (A), Independent Study: Statistics; predicting voter turnout (A) Next semester I will be in: Math: Abstract Algebra, Linear Algebra (Graduate level to show I can do linear algebra because I was dealing with personal issues that semester), Statistical Models, CS: Multimedia in Python (if relevant) GRE: Retaking! 158 Q / 156 V (I'm a terrible standardized test taker, but hope to hope to be around 160-163 Q) Research Experience: 3 total years of research. One paper in statistics on assessing the prevalence of gerrymandering is in review now (done with my advisor and I), we are currently working on another project related to voter turnout (a paper will come out of it by the fall, again by my advisor and I), Previously a research assistant on researching rivalries in baseball (with a very famous mathematician) ,Have an OEIS sequence pending review now for publishing (I constructed a new sieve to find all prime numbers), Finally, Will be a Researcher in algebra in the Spring Letters of Rec: I will have 4: 1 from my advisor, 2 from professors I have done research with, and 1 from the research coordinator. I would say they will be pretty good. I am very close with my major advisor and he is a very good writer, and knows a lot about me. My statistics research advisor graduated from PSU a few years ago, and we have been doing research for 2+ years, onto 3. My other research letter is from the dept head who I did baseball research with. He is very well known in sabermetrics (baseball statistics), and I hope that will help. Finally, my last letter writer is the REU program head, and I have had him in numerous classes. He was one of the directors of DIMACS at Rutgers and he not only knows a lot of people but is also pretty famous. He worked with some of the most famous graph theorists and knows a lot about the process as he has sat on graduate committees for 20+ years, so I hope he knows what to write! Awards/Honors/Recognitions: Dean's List, Outstanding poster award at JMM18 for statistics (given to 3 kids), Presented research at 7 conferences (including JMM), Have research grants over the last 2 years including 2 summer REU's in number theory. Given my academic record is all over the place (I dealt with crippling migraines which I have every day for 2 years, hence my poor performance) I will be applying to a lot of school. However, the two semesters I haven't dealt with migraines, including the last semester, I received a 3.8 so my grades are on the way up, and the trend can be seen in my math GPA as well! Schools: GW Temple South Carolina UConn NCSU (Because of all my spatial statistics research, I know its a reach) FSU UNC Charlotte (applied math) UNH PSU (research advisor just graduated a few years ago from there) VT Rutgers UMich (family friend runs a bio lab there) UMD (best friends dad has a astrophysics lab there) George Mason UVA OSU UC Riverside UNC UGA UF I know the list is very long but that is because I would be happy going to pretty much all of them, I just need to get into one! Thanks so much for any of your help! Ben
  6. Hi, I know I have a very weak academic profile, but I was wondering if I'd have any chance to get into a Stat PhD program, say top 30-40 ish. I'm currently majoring in Mathematics and Statistics at UChicago. To give you a little explanation about my low GPA, I was not thinking about academia and was mainly looking for a job in Finance until 2nd quarter of my junior year. The job I was seeking for doesn't really care about what kind of courses I take, so I took a lot of junk classes in order to compensate for my low math grades. UChicago by itself is a pretty harsh grader (GPA 3.25/4.00 makes deans list), and our math program is known to be pretty hard (have to take 1 full year of real analysis and 2/3 year of abstract algebra), but I wonder if PhD program admission's office care about this at all... I recently got interested in Statistics, so I decided to double major in it. Luckily, there are a lot of overlaps, so it's very feasible for me. I think the rigor of the classes that I took and am planning on taking are not bad, but I wonder if I'll be able to overcome my low grades. I'm willing to work a couple more years as a research assistant after I graduate if that'll make a significant difference. So to summarize, I just want to know if I have any shot to get into top 30-40 stat PhD program. If so, I still have one more year left, so I'll try my best to get grades and work as a research assistant. Thanks a lot in advance! Undergrad Institution: University of Chicago Major: Math and Statistics GPA: 3.65+ (overall), 3.3+ (Math) Type of Student: Asian international student Courses/ Background: Math: Honors Calculus 1 (B+), Calculus 3 (A), Intro to Analysis & Linear Algebra (A-), Multivariable Calculus (A), Real Analysis I (B), Real Analysis II (B+), Real Analysis III (took twice, pass/failed the first one, and got A- second time), Abstract Algebra 1 (B+), Abstract Algebra 2 (A) Stat: Elementary Statistics (A), Statistical Theory/Method-1 (B), Analysis of Categorical Data (B+), Mathematical Probability (Accelerated) (A) Others: Computer Science with Applications 1 (Pass), Computer Science with Applications 2 (B+), Computer Science with Applications 3 (A) Planning on taking: Math: Complex Analysis, Ordinary Differential Equations Stat: Nonparametric Inference, Machine Learning, Time Dependent Data GRE: Haven't taken it. (1600/1600 SAT) Research Experience: 3 months of research assistant at Booth School of Business at UChicago, helped with data mangement (wrote STATA algorithms) Awards/Honors/Recognitions: Dean's List
  7. Past years: 2013, 2014, 2015, 2016, 2017 As someone who read and used the past results a lot during the process please contribute even if you don't want to fill out all the information. You will only be allowed to edit for an hour so you might want to wait until you have all your results. Below is the template: 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.) Math/Statistics Grades: (calculus sequence, mathematical statistics, probability, real analysis 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
  8. Hello everyone, I will be applying to Stats Phd Programs and was inquiring if someone could help me figure out what range of schools I should apply to in terms of Competitiveness. Here's my profile (I don't want to give too much personal information (i.e. I don't give too much information for example on research projects) , but here's what my profile generally looks like: Undergrad Institution: Top 20 US News (according to UsNews) private university Major(s): Mathematics GPA: 3.9 Type of Student: Domestic US Student Programs Applying: PhD in Statistics Research Experience: Different projects involving R, independent studies with professors on theoretical graduate level topics. Letters of Recommendation: Should be good Math and Statistics Courses (Grades A or A-): Real Analysis I, Real Analysis II (with an introduction to Measure Theory), Abstract Algebra(Groups, rings, fields), Complex Analysis, Probability Theory, Mathematical Statistics, Graduate Level Numerical Analysis (with proofs, emphasis on analysis and normed vector spaces), Linear Algebra and Diff Eq, Calc I-III. Will be taking several additional graduate courses, fall semester senior year. Concerns: I'm not sure what range of schools I should apply to. I know it is very difficult to get into Phd programs. I'm having trouble creating a list of places to apply to. I don't want my list to be too conservative nor do I want my list to be too top heavy. What programs do I have a realistic shot of getting into? Thanks so much for the help.
  9. Here is my profile: Undergrad Institution: Large state school (not so high ranked) Major(s): Mathematics Minor(s): Computer Science Cumulative GPA: 3.8, Major GPA: 4.0 Type of Student: International Research Experience: Got into Math REU this summer. Hopefully will get some experience there Letters of Recommendation: Should be good GRE: Planning to take this august. Aiming for atleast 330 Aiming for Industry Jobs after phd Concerns: The main theme of the REU program is Algebra and Discrete Mathematics where many works are done in numerical analysis, real analysis, abstract algebra and graph theory. My question is, since it does not involve statistics, will this be helpful for me while applying for grad shool for phd in statistics? Also, I will be taking lots of major proof based courses like real analysis, complex analysis, abstract algebra, next semester and grades will be turned in by Dec 10. Since the deadline for most grad schools is Dec 1st, I think that would be too late as I will have to send my application by then.Will this hurt my application? Lastly, I would like to know the prospect of lower ranked programs from universities such as University of Virginia, or University of Iowa. These schools have deadline in Jan 15 which I can make it but I do not know how good their placements for industry jobs are. Any help would be highly appreciated! Thanks!
  10. Hi All, I am recently rejected by all 20 Ph.D. programs (mainly in statistics) to which I applied. Though a few considered me for their master programs after Ph.D. rejection, none ended up extending me a master admission. Unfortunately, I did not separately apply to other master programs. I am still quite interested in pursuing a Ph.D. in statistics (or related areas) to prepare for a research career (not necessarily in academia). I am looking for advice on what to do for the upcoming year(s) to better prepare for another round of application. Below are some of my stats. ---------------------------------------------------------------------------------------------------- Undergrad Institution: US Large State School (US News Ranked Top 50) Major(s): Mathematics, Statistics, Finance, Accounting Minor(s): Computer Science, Computational Science and Engineering GPA: 3.98/4.00 (Overall), 4.00/4.00 (Math + Stat) Type of Student: International Asian Male GRE General Test: Q: 170/170 (97%) V: 158/170 (80%) W: 4.0/6.0 (60%) GRE Subject Test in Mathematics: M: 860 (88%) TOEFL Score: (116 = R29/L30/S29/W28) Grad Institution: N/A Programs Applying: Statistics (14) + Applied Math (4) + Operations Research (2) = 20 Ph.D. programs Research Experience: No publications. No REUs. Several research projects and independent study projects at my institution. My senior thesis/project won a college-level research award of $1,000 ($500 for research grant, $500 for scholarship). Awards/Honors/Recognitions: - Within institution: Overall GPA < 3% of graduating class. Dean's list every semester. Student president of an honor society. A few small amount scholarships. - Outside institution: A 2nd place price of a midwest local data science competition. A leadership award by the national chapter of an Asian student org. Pertinent Activities or Jobs: - Internships: one consulting, one actuarial - worked ~ 15 hours/wk at various university offices (as tutor, accounting intern etc.) during my sophomore and junior years - Some student org involvements Letters of Recommendation: - 4 letters: 2 from professors with whom I did research/independent study, the other 2 from professors with whom I took advanced classes - Pretty sure at least 3 out of the 4 letters are (very) strong - not sure if well-known, but 2 recommenders are department director/grad chair respectively at my institution Math/Statistics Grades: - All A/A+ for Mathematics, Statistics, Computer Science, Computational Science and Engineering - Relevant Undergrad Classes Real Analysis (honor, A), Analysis on Manifold (honor, A+), Applied Complex Variables (A+) Abstract Linear Algebra (A+), Intro to Abstract Algebra (A+) Intro PDE (A) Linear Programming (A+), Nonlinear Programming (A+) Foundations of Data Science (honor, A+), Advanced Data Science (A+) Statistical Computing (A+), Artificial Intelligence (A+) Time Series (A), Regression and Experiment Design (A+) Probability Theory (A+) - Grad Classes (My school has many classes that enroll both master and Ph.D. students) Microeconomic Theory I (PhD, A), Theory of Asset Pricing (PhD, A+) Mathematical Statistics I (Master/PhD, A) Statistical Learning (Master/PhD, A+) Numerical Analysis (Master, A) Applied Stochastic Prosses = Markov Chain (Master/PhD, A+) Models of Dependent Risks (Master/PhD, A+) Concurrent (Spring 2018) in Machine Learning, Statistical Learning Theory, Mathematical Statistics II Any Miscellaneous Points that Might Help Hurt: - International Asian Male - Interested in statistical learning - No noticeable research experience Research Interests: Want to learn statistics and mathematics and do some applied work. On the technical side, interested in statistical learning, computational statistics, and some traditional topics (e.g. model selection). On the application side, interested in mathematical finance, risk management, and econometrics. ---------------------------------------------------------------------------------------------------- Any advice on programs to apply, strategies to prepare, or other pertinent points will be much appreciated.
  11. Hello everyone, I am a junior at a large public school in Minnesota and I am interested in applying for a Phd in Statistics at Stanford University. I am interested in working in the Data Science field and I am thinking of applying for Stanford MS in Data Science since obtaining an advanced degree in either statistics or data science will further my understanding as well as equip me with more tools to work in the data science field. Unfortunately, Stanford as well as many other institutions does not offer funding for master candidates. Do you think it is worth obtaining a Phd program or I will be better off pursuing a master program? If you think whether it is worth pursing a Phd program, how can I qualify myself as a Phd candidate? Should I choose a research paper to work on? I will graduate in the Fall of 2019 and I am working full time this summer as a Data Analyst. Thank you.
  12. Schoolwiz

    Stats 101

    I need help solving my final question on this problem. Question 4. Section E and F. Can anyone give me some direction. Thanks MA 321_Exam 3_Spring 2018 CAROLINE WILCOX.xlsx
  13. Hi Anyone joining the University of Washington in 2018? I am joining the Ph.D. program in statistics.
  14. Hey all, I am a mathematics undergraduate in my senior year at UTA. I will be applying to the Rice statistics program in the College of Engineering. I really want to be involved in some awesome research going on there! Feel free to respond if you too are applying to Rice for Fall 2019, are already in their graduate program (any of them), or would just like to leave an encouraging message! I really want to know details of what people who have been ACCEPTED to Rice's programs applied with (i.e., GPA, undergraduate degree type, GRE scores, etc.). Any help is appreciated! You can also just respond to freak out with me as we rise to this daunting task TOGETHER! FUTURE SCIENTISTS UNITE!! ?? GO RICE!
  15. I have received acceptance for MA Statistics from Yale and Berkeley. My plan is to do a Phd, whether directly after masters or after some work ex is something I will decide later. while Berkeley has the "better ranked" department, i feel that i would get more individual attention at Yale. Also, Yale will have more diversity. The Bay Area is right there so getting a job after Berkeley. but my dream is to work at NPOs and international orgs (like uN, WHO, BMGF, etc) which are at the east coast. please HELP!!
  16. Rose-Colored Dasein

    PGR vs Placement

    Hello, everyone! Given the strange concern some of us have for getting a job after completing our PhD programs, I decided to undertake a friendly/nerdy investigation. Perhaps this has been done before; at any rate, I found it enlightening. Maybe it will help you too, as we reach the final stage of our decision making. How strongly do Leiter's current (2018) Philosophical Gourmet Report (PGR) rankings correlate with job placement into permanent academic positions? Rather weakly, it turns out. I contrasted the PGR data on a spreadsheet with placement data from 2017 research funded by the APA from the years 2012-2016 with some interesting results. (See below for a link to the data.) Before I report my findings, I should note a few caveats: The APA placement data reports the most recent placement status of a given graduate within the time period, so some of those in permanent academic positions are surely second- or third-year hires, given the substantial number of PhD-earners who don't get placed for a year or two. Leiter has criticized the APA-funded data for leaving out postdocs (who may have postponed a viable permanent academic position). This is good to keep in mind; however, a number of the postdocs would have applied for positions within the 2012-2016 period, which at least ameliorates the problem. I use the terms “weak” and “strong” for correlations in an intuitive rather than a technical sense. Numbers can be presented in very biased ways, especially when statistical or categorical lines in the sand are drawn. I do draw such lines, so take my categories with a grain of salt. I left out altogether universities outside the United States. Also, when a university was distinguished from its HPS (history and philosophy of science) program, I reported whichever of the two had a higher placement rate and left the other out altogether. So, for example, when calculating the PGR representation of the top 50 schools for permanent academic placement, I divided the 29 PGR-represented schools by the 45 of the top 50 which don't fall under either of these two exclusions. There are, of course, other factors to consider besides employment: publishability, raw academic opportunity (and correlation with personal interests), oddball placement factors (school X never hires from school Y), teaching/research balance, etc. This investigation is limited, but within those limits it is insightful. Without further ado, here are some of my findings about the top 63 permanent-academic-placement (PAP) schools vis-a-vis the PGR top 50. 20 of the top 63 PAP programs are PGR-unranked. These include the following: Cincinnati , Baylor, Florida, Oregon, Tennessee, Villanova, Penn St., DePaul, Catholic University of America, Vanderbilt, New Mexico, Emory, Miami, Washington, Fordham, Stony Brook, Duquesne, Georgia, USF, and Iowa. Given the top X schools for PAP, where X is a multiple of 10 between 1 and 6, PGR never includes more than 67.3% of them. Representation always declines as we approach the top of the PAP list (except moving from top 50 to top 40, but the difference is a negligible 0.4%). By the time we reach the PAP top 10, PGR only predicts half of them. There are 11 PGR-unranked schools that have PAP rates of 50% or better. (On the above list, these consist of everything from Cincinnati to New Mexico). This rate is better than that of half (25) of PGR-ranked schools. 10 PGR-ranked schools, ranging from PGR-rank 9 to 40, placed too low even to be considered by the APA study, which bottomed out at 38% PAP. These programs include UCLA, CUNY, Brown, and Duke. Only 1 of the 8 PGR “bubble” schools (Nebraska) was in the APA top 63. Important: It is true that PGR rankings do correlate more strongly with PAP into PhD-granting programs. Of the 20 high-PAP schools that are PGR-unranked, only 3 place students into PhD-granting programs at a rate of 10% or higher. By contrast, half of the PGR top 50, including the entire top 20 (minus some of the PGR-ranked schools which placed too low overall for APA consideration), place students into PhD-granting programs. Here's the link to the APA-funded study. The portion relevant to my post begins on page 43: https://www.dropbox.com/s/61qgeway2nyhr7x/APDA2017FinalReport.pdf?dl=0 Bottom line: If you're cool with teaching undergrads, PGR isn't going to be very helpful. If you strongly prefer teaching graduate courses, PGR is going to be very helpful; however, at that point you might as well just look at the APA rankings for PAP placement into PhD-granting programs. Hope this can help someone.
  17. I've read a lot of posts asking about a low GPA and getting into masters programs, but I thought I'd ask about my particular situation. I wasn't going to, but now I am at my wit's end. I thought I could recover my 3.1 GPA this semester because I got a 96 on the first exam in Multivariable Calculus, but then I got shit on by this past exam and will most likely be getting a B+ in the class. I'm a junior majoring in Mathematics-Statistics and minoring in Computer Science at the University of Connecticut. My relevant grades are as follows: * Calc 1 = A- * Calc 2 = A- * Multi = Pending (but hopefully B+/A-) * Linear algebra = B * Differential Equations = A- * Introduction to Programming Principles = B- (notoriously hard) * Data Structures = B * Discrete Systems (Discrete math in CS department) = B * Intro to Proofs (Basically repeat of Discrete Systems but way more writing) = Pending (Looking like A-) * Algorithms = Pending (Looking like B/B+) * Intro to Software Engineering = Pending (Looking like A-) * Computer Architecture = Pending (Looking like I'm taking these before I submit my applications. **Fall 2018** * Statistical Methods * Probability * Numerical Analysis * Mathematical Statistics 1 * Mathematical Modeling * Design of Experiments The reason for the low 3.1 GPA is that I transferred after my freshman year, and therefore had less time and classes to balance out my C- in Gen Chem 1 and C- in Gen Chem 2. I also have W's in Intro to Stats (yikes) , Theory of Computation, and Microeconomics. Grad school was never in my mind until recently so I never thought W's would matter, but now I hate myself for not sticking through it. I know my grades are a disaster, but I'd really like to continue my education and learn statistics in depth to become....get this.... a data scientist. I am going to apply to masters programs in statistics in early January so that I can have an extra semester to bring my GPA up. If I can get my GPA up to a 3.3-3.4, get excellent LORs from professors and kick ass on GRE (like 165+ in Q), do I have a good chance into getting into these schools: * University of Connecticut (#1 CHOICE) * Central Connecticut State University * Iowa State University * University of Maryland * UC San Diego * UC Davis
  18. huxlb

    SOP Advice

    Hi guys, I'm considering applying for my PhD in Statistics for the fall 2019 cycle and will have a 3.75ish GPA. However, there was one semester I got mostly B's because I had to work a full time job while taking 17 credits due to financial hardships. The rest of my semesters I received nearly straight A's. Are these financial hardships worth mentioning in my SOP? I don't want to seem like I'm making excuses for poor grades, but I'd like to know if you all think my situtation is relevant/important to mention. Thanks for your feedback!
  19. Hi, I am in a very perplex situation and need your advice to take a decision: I did my undergrad and graduation in Mathematics and Scientific Computing from a leading Institute in India. Graduated in 2017 and working as an Analyst with a major European investment bank. My current research interests revolve around Bayesian statistics, statistical modeling (time series and regression) and model order selection. I do not have a specific preference between industry and academia post Ph.D. and would like to keep both options open and decide over time At the moment, I have accepts from Ph.D. programs in statistics from UW Seattle, NCSU, and OSU. I am waitlisted at UMich and will probably receive the decision next week (before 15th April). I got rejected from the Statistics Dept. at UT Austin, however a prof from the dept. has been trying to shift and get my application accepted to Information, risk and operations management (IROM) dept at McComb School of Business at UT Austin since most of the Statistics prof. are also associated with this dept. I do not have a lot of idea about the IROM dept at UT, however from initials gaze, it gives a vibe of a business school, rather than Statistics dept. One of my concerns is, whether the dept not being a pure statistics dept, Will this in any way affect my research? Or, the research/ thesis will be totally governed by the professor I am working with? Another concern is, will pursuing a Ph.D. in a non-statistics dept (although still doing statistics work) affect my chances in academia? Given my interests in Bayesian statistics, how would you rate UW Seattle Ph.D. program (pros: highly ranked [US NEWS Ranked 5th in statistics], diverse dept, interdisciplinary research) vs IROM UT Austin (pros: decently ranked in business schools [US news ranked 17th], Strong bayesian heavy statistics dept) vs NCSU (Pros: Highly ranked [US news ranked 10th in Statisitcs], very diverse dept, research triangle advantage)? I have not added OSU because I feel other options are stronger than it. Did not add UMich since I have not yet heard back from them on my waitlist status. But Please feel free to let me now your comments on the same, in case I missed something. All the opinions are welcome and will really appreciate your help. thanks!
  20. I've been accepted to both the University of Virginia's MS in Data Science and Georgetown's MS in Analytics with a focus in Data Science. From what I've found, UVA seems to be a higher ranked program for data science but Georgetown is considered more prestigious overall. I'm not sure how much to weigh the benefit of having a degree from Georgetown as for that looking good. It's also hard to find a lot of info on ranking of data science programs, since there's no one good place to look! I'm really conflicted between these two and am looking for advice/thoughts people have as well as anyone who is considering these programs or data science/analytics in general!!!
  21. 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
  22. I was wondering how much weight does having a decent GRE Math Subject Test has on an application. If so, what should the target range be for domestic/international students?
  23. Would love some feedback on my profile, below - specifically, if I have a legitimate shot at the schools I have listed, or others I should consider. Undergrad Institution: Large state school (ranked between 100 - 120 nationally) Major(s): Economics, Math, Finance GPA: 3.78 Graduate Institution: Large state school (same as above) Major(s): Applied Economics GPA: 3.91 Type of Student: Domestic White Male GRE General Test: V: 157 Q: 169 W: 4 GRE Math: Haven’t taken, but considering it Programs Applying: PhD in Statistics – specifically Bayesian or Probability theory Research Experience: I had some research papers/projects in grad school around data analysis, but I’m not sure of those would fall under this. So I’m going with none, for now Professional Experience: 2 years experience as a Data Analytics consultant for a top 5 consulting firm (current job) . Also interned there for a summer as well Relevant Courser Work: Undergrad: Calculus 3 (A+), Linear Algebra (B), Differential Equations (A), Statistical Data Analysis (A), Theory of Probability (A), Math Stats w/applications (B), Applied Diff Equations II (C+ - The class was geared towards engineering students, which I did not know at the time. I took it as an elective), Real Analysis I (A) Graduate: Statistical Data Management (A), Data Mining (A), Mathematical Economics (A), Advanced Statistical Data Management (A), Advanced Data Mining (A), Econometrics (A), Forecasting Analysis (A) Computing Skills: SQL, SAS, VBA, SPSS, R, Python Considering applying to: Harvard Duke UNC Texas A&M Rice SMU UT (Austin) Michigan Alabama Still early in the process (obviously), so am open to suggestions on other schools to consider Concerns: Mostly lack of research and my being out of school for a bit (graduated 2016), but I'm hoping my professional experience will make up for some of that
  24. Hello Guys, I need some insight. Which one should I choose? The operation management/decision science PhD in Kelley, or the STATISTICS Group at Risk Analysis and Decision Making Department at McCombs? If I can graduate successfully, my first option would be to go into academia and 95% of Kelley graduates become faculty. However, I am worried that in the worst case scenario (which I hope and think will not happen), that i dont finish my phd, then I will have to go into industry, then mccombs seems to be a better option, because it's very location in austin. Bloomington is pretty and all that, but indianna is hardly the most developed state in the country. I would appreciate any insight! THANK YOU!
  25. youlookyoulookyou

    UChicago Stat MS for PhD

    I have an offer from UChicago Stat MS. How about this program? I plan to pursue a PhD degree when graduating. So can this program improve my competitive power for applying for a PhD program?
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