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At the end of March I took the GRE and got the above scores. I know I could have done better on the Quantitative and am on the fence about taking it again. Just curious if there are any success stories with a Q score this low for a stats program. Other background info: Mathematics Major w/ Stats Minor  3.49 GPA 3 Research Projects, 2 conference presentations (JMM & IFORS) Currently a data analyst for an adtech company working with control/exposure experiments and homing internet connected devices together I had very good relationships with my professors and they have written me glowing letters in the past I am currently looking at some schools I am interested in and their avg/required scores; however, a lot of schools do not have them posted. I would hate for my low quant score to hold me back in the application process. Any advice would be awesome! Thanks!!

2019 Applicant Profiles and Admission Results for Statistics/Biostatistics
captivatingCA posted a topic in Mathematics and Statistics
Past years: 2013, 2014, 2015, 2016, 2017, 2018 Here's the thread to submit your profile and results for stat and biostat programs for Fall 2019. You only have an hour after you post to edit, so it is best to post only when you have all of your results or have made a decision. Give as much detail as you feel comfortable with! 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? "wellknown" 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 
I am a sophomore in UT Austin. Our university does not have statistics degree for undergrads so I am here for help :( I am interested in applying for statistics grad school in the future. Any courses may help me solid the base? My enroll date is April 30th, plz help me asap ) I've attached the courses here, for any more descriptions, please click these links below :) https://www.ma.utexas.edu/academics/courses/coursedescriptions#upperdivisioncourses https://stat.utexas.edu/undergraduate/coursesundergraduate

Hello, it is only a couple of days until the April 15 deadline and I just came off of Princeton's ORFE phd waitlist. I had been pretty much all set to go to UW Stats PhD program, but I just wanted to know what the community's opinions are between Princeton's ORFE program vs. UW Stats program. These are both fully funded programs with UW giving extra fellowships on top. Specifically, my interests lie in mathematical connections to statistics. My goal is to do research in a Statistics/Math department in the future. Given this, what are your thoughts? Any help/thoughts would be super appreciated. I'm really kind of freaking out D=

Columbia Business Analytics vs. Michigan Data Science?
ansdPdms posted a topic in Decisions, Decisions
Hi all, I'm deciding between Columbia's Masters of Science in Business Analytics and University of Michigan's Masters of Science in Data Science program. Since they are in different industries, I'm very conflicted. I got waitlisted from NYU and UW Data Science, got accepted to Cornell's MPS in Applied Statistics (Data Science), ORIE at Cornell Tech, and Georgetown Analytics. Still waiting from Brown, PENN, LSE Data Science. Economics major and Statistics minor at a top 3 liberal arts college, with some cs background. I think my end goal is working as a data scientist at a consulting/finance firm, but I'm open to other data science roles. Not interested in PhD. I was leaning towards Michigan because of technical complexity, so I'll have a wide variety of career options, but everyone's telling me to choose Columbia because of its name value, resources, and geographical advantage (i.e. recruiting and networking). I have a week to decide  any advice/input would be appreciated!!! Thank you! 7 replies

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JHU PhD Biostatistics and Columbia PhD Statistics
Gill1990 posted a topic in Mathematics and Statistics
Hello guys, I was fortunate to receive offers from Johns Hopkins PhD in Biostatistics and Columbia PhD in Statistics. May I have some sincere opinions on school choices? At this stage, I'm open to both industry and academia opportunities, maybe leaning towards academia. Regarding research interests, again I'm open. My slight concern is that biostatistics may be a bit narrow to land a job? I'm really not sure about this. Thank you very much! 5 replies

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Hi everyone, I have applied to the following schools. 1) OSU (PhD Biostat) 2) MSU (Ph.D. Stat) 3) Kentucky (Ph.D. Stat) 4) Dallas (Ph.D. Stat) How many of you heard back from these schools about funding? Thank You.

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Chance me for MS/MPH Biostatistics programs?
salamiboyz posted a topic in Mathematics and Statistics
What are my chances of getting into a decent Biostats program based on my stats? Undergrad Institution: state school in california Major(s): biology w/ emphasis on zoology Minor(s): GPA: 2.5 Type of Student: Citizen, URM, female GRE General Test: Writing 6/Quant 166/Verbal 168 Programs Applying: MS/MPH Biostatistics...hopefully MS in biostats Research Experience: 2 years of research in Epidemiology lab Awards/Honors/Recognitions: 2 year research experience in Epidemiology/Biostats funded by NIH fellowship. Pertinent Activities or Jobs: President of Health club on campus, secretary of two other clubs, student senator, heavily involved on campus with advocacy groups as well as encouraging women and other people of color in the sciences. Letters of Recommendation: I have threefour strong letters of rec being written for me by post docs/professors that are mentors. I meet with them every so often and we talk about my career trajectory, my work, and the like. 11 replies

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Finding research experiences/jobs after graduating from undergrad
runmore05 posted a topic in Mathematics and Statistics
I'm an Environmental Science major/Statistics minor graduating soon. I plan to apply for Statistics graduate programs in the Fall and was wondering if anyone had any advice for finding Statistics related jobs/research experiences for someone fresh out of undergrad without a Math, Stats, or Computer Science BS. My institution is small and almost entirely undergrad focused(no math/stats graduate program), so no chance to research there. However, one of my mentors has been helping me get in contact with employers in the area. My hometown (which is where I'll likely be if I don't get a job in the area of my undergrad institution) is in a large city and home to a handful of universities. I noticed that many universities with a Statistics department have a statistical consulting lab on campus would it be worth emailing them to see if they have opportunities? I'm a little unsure on what these labs are. I go through LinkedIn regularly searching for terms like "Statistics", "R", "Machine Learning", and "Data science" but feel like my current résumé isn't strong enough to get anything. Any tips for searching for opportunities? Thank you. 2 replies

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Hi everyone, As of yesterday, I've heard back from most of the schools I applied to. It is exciting to have been accepted to these amazing schools. My undergraduate major is Statistics and really want to learn something in Ph.D. training. I am very confused about these three programs as they rank very close and all have profs I would like to work with. During my undergraduate, I have been exposed to research about highdimensional data, network analysis, and statistical inference. My research field is not that clear but at this stage, I prefer high dimensional data and network analysis. I am not sure how well I could do so I am not sure I could go to academia or industry. But if I do well in academics, I prefer to being a professor. UC Davis Pros: 1. rank highest among the three programs 2. prestigious profs such as HansGeorg Müller and J.L. Wang 3. it's California, although the corner Cons: 1. I could not find the placement of Ph.D. students so I'm not sure if they have a good way out 2. the research is too theoretical Rutgers Pros: 1. talked to one prof from Rutgers, got to know that the size of the program is relatively small (no more than ten Ph.D.) and the rank of it is significantly underestimated 2. it's New Jersey and close to NY Cons: 1. way out to academia is not very satisfying 2. I know it's naive but the overall ranking of Rutgers is relatively low Rice not very familiar with this program and can not find much information about it Pros: 1. Houston is a big city and the life there is more comfortable Cons: 1. research area is relatively narrow as there are only 12 faculty members I have confidence in finishing the Ph.D. training in either school. However, since my research area is not settled and I am not sure about academia or industry, I really need your advice, especially the details about the three programs and way out of them! Any advice or perspective is greatly appreciated. Thank you very much!
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I'm an international student from China who did all my post secondary degrees in Canada. I'm planning on applying for my statistics PhD this Fall for 2020 entry. I'm hoping I could get a evaluation so I can get a understanding where I stand and what my chances are. Undergraduate Institution: QS ranking 150200 in statistics (not Waterloo or U of T) Undergraduate Degree: Financial Mathematics GPA: 4.0 Courses taken: (we use number grade) Calculus I (100), Calculus II (100), Numerical Analysis (95), ODE (99), PDE (100), Intermediate Probability (98), Mathematical Statistics (98), Real Analysis I (95), Real Analysis II (90), Statistical Programming (94), Advanced Data Analysis (90) Master's Degree Institution: Same as undergradraduate Courses taken: Advanced Probability Theory (90), Spatial Statistics (95), Advanced Statistical Programming (95), Statistical Inference (95), Survival Analysis (98) Research Experience: I did an undergraduate research project with a prof in Financial Econometrics related to option pricing. Not going to be published. Currently working on my thesis regarding spatial point process with application in astronomy and very likely to be submitted for publish in astrophysics journals. Hoping to be submitted around the time of application. Recommendation Letters: One from my main supervisor in statistics and another from secondary supervisor from astronomy. Both will be strong. Last one will be from the prof I did the undergrad project with. Programming Skills: R, C++, Python GRE: Quantitative: 166 Verbal: 155 Writing:4.5 Target Schools: I'm planning on applying for schools with faculties doing spatial statistics as well as statistical computing related to MCMC stuff with application to astronomy and environmental science/ecology. US: Penn State (Hoping to work with Murali Haran) UMN OSU CSU UC Davis FU FSU Canada: U of T UBC Waterloo Simon Fraser My current school Are the schools on my list realistic? Also, I'm really hoping to get into PSU because I really like what Murali Haran is doing and PSU has a center for Astrostatstics which is a huge interest for me in terms of applications. What are my chances of getting into PSU? Thanks a lot for any kind of input!

Goals/Interests: Econometrician/Biostatistician, or a Statistician/Data Scientist with domain/research focus in the biotech venture capital industry. (Or, some ‘correct’ combination of these or related labels that might be more appropriate…) Beyond market/industry research, I would also like to focus on understanding the underlying statistical methodologies and techniques being applied in medicine/biotechnology/health science (i.e. machine learning's application etc. etc.…) My goal is to convince a biotech venture capital firm that they could benefit from employing a statistician/data scientist with these particular domain interests/research experiences. Ideally, I would love to have experience on the funding side of early stage startups in the hopes that I could build on my academic + industry experiences in order to one day veer down an entrepreneurial path of my own (…ideally in the biotech sphere) Location: Ideally VC firms in 1. NYC, 2. SF or LA (or… firms with a combination of both NYC and a California location…) Also, I want to note these are my “perfectworld/havemycakeandeatittoo” scenarios. I recognize they are lofty Should note, reevaluating obtaining a PhD at some point in the future would not be unthinkable (especially if it might tie in well with the other abovementioned goals) On a side, I feel I have a decent tie back to NYC having interned in the city, and having completed the coursework equivalent of Columbia University's major requirements in their joint MathematicsStatistics major. (Completed through a nondegree postbaccalaureate program after graduating with a degree in economics from a separate institution). I mention this as I am not sure whether Berkeley or Duke has higher employer standing in NYC...and whether or not it will matter given I already have (what I think) is already a decent tie back to the city Berkeley States the program prepares for industry rather than PhD One year Capstone: teambased learning experience on realworld problem I think strong industry placement Incoming class of 40 No financial package, mention of guaranteed research assistant positions, or internship requirement I would assume because the program is so short/condensed Duke: States the program is attractive to industry employers and for bridging to Ph.D. 2 years Financial package, guaranteed TA and RA positions, required thesis or portfolio of work, required internship Bootcamp orientation Research Assistantship may or may not be used in thesis requirement Incoming class of 40 Alumni review: statistically rigorous, globally recognized faculty, Bayesian and ML approaches, modeling and computation (creates better career options), small class size, class projects with real data, inhouse career counseling and advising, collaborative and collegial environment Areas: PhD/Research, Data Science, Health Data Science, Finance & Economics, Marketing Research and Business Analytics, Social Science & Policy Formal Mentoring in the first year (faculty) meet once a month 3 faculty serve as advisory role, at least 2 fulltime primary faculty in Statistical Science, 1 committee chair Admission statistics look very similar to Berkeley’s Strong Industry and Academic Placement My intuition: Duke is a better fit. I feel two years would be ideal in gaining the technical skills + research experience + internship experience I am seeking (and I am not in a breakneck rush) It seems there is more emphasis on mentorships, and on academic + career development Prestige in industry seems equivalent at Masters level (maybe Duke is ‘winning’?) Prestige in academia – at the Masters level – seems 'Duke > Berkeley' Duke seems to be slightly more expensive on an annual basis (after factoring in the financial package offered) (however, I would be paying twice as much as I would for Berkeley in total because I would be paying for the extra year at Duke that I already desire…which ultimately is OK with me) Question/Advice: Any advice, thoughts, questions on anything mentioned would be greatly appreciated! Or, if you know of anyone that might be worth speaking to, please PM me! The Big Q: Am I wrong in assuming that Duke is the clear choice for me given the goals I’ve mentioned? Is there something I am completely missing about Berkeley that I should be taking in? Or, is my take utterly wrong in every possible way 🤣😅) Other relevant Threads: https://forum.thegradcafe.com/topic/89766ucbvsdukevsyalevsusfanalytics/ Duke vs. UCB vs. Yale vs. USF Masters https://forum.thegradcafe.com/topic/39107statsprogrambytiers/ (Not sure if this by master or PhD? If it was mentioned in the thread somewhere and I missed it, then I apologize!)
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Hi, all. I apologize for creating so many threads but I figured this one might be applicable to others as well. My problem is this: the only school that I have applied to this cycle and one which I will definitely attend if I am admitted, has a pesky statistics requirement that I somehow didn't notice when I was doing research on the school. (I know I should have assumed that this would be the case  believe me, I am beating myself up about this enough already.) Anyway, this wouldn't be too much of a problem except that I recently moved states and so if I were to take a statistics course at a community college here the tuition would be astronomical (upwards of $1000). I am wondering if anyone here has ever found themselves in a similar position? Do I just have to eat the expense? I'm super mad at myself because if I had noticed this last spring I could have taken the class at a community college before I moved and I would not be having this problem. At an info session I recently attended, the director of admissions and financial aid specified that one can be admitted provisionally without having taken a statistics course (thank God). I am wondering if they might be similarly flexible on WHEN I take the class? If I could take it during the fall semester that would help me so much, as I would qualify for instate tuition then. I guess the only way to know for sure is to ask the school, but I'd rather wait until I am actually admitted before I start bugging them about bending the rules, lol. Anyway, I was just wondering if anyone had any advice on cheaper alternatives (if such alternatives even exist).
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Acceptance: Stats@UMN, Stats@Toronto I think the faculty of both programs are great, but it seems the University of Toronto has a better reputation around the world. I think the US provides a better environment for the job, which I mean more opportunity... So if I decide to live in Canada in the future, Toronto is definitely a better choice; if I decide to live in the US in the future, maybe UMN is better; if I decide to go back to my home country, I think a more famous university is more important. The real problem is that I have not decided where to live in the future, so I am confused about it. PS: I am an international student. Thanks for any advice!

Hi everyone! I'm trying to decide between statistics doctoral programs. My top choices at this point are Duke, the University of Michigan  Ann Arbor (with a fellowship that exempts me from teaching/service obligations for my first year and two additional semesters of my choice), and NC State (with a fellowship for the first year). Duke and Michigan offered comparable stipends. NC State's stipend was slightly lower, but they suggested that they could try to match other offers. I'm interested in the research at all three schools, even though there are major differences. I am finishing my Bachelor's in math, and I haven't yet delved heavily into any specific area of statistics. However, I have really enjoyed that probability theory classes I've taken as well as the applied statistics and computer science projects/research that I have undertaken. In essence, I could foresee my future research taking a variety of directions, so this is less of a deciding factor (at the moment). In terms of my career goals, I have always wanted to become a professor, so I hope to pursue a tenuretrack faculty position eventually after I finish my doctoral studies. As of now, I'm leaning towards Michigan, Duke, and NC State in that order (which is very tentative). Michigan's fellowship was very appealing, and they also offered to cover relocation expenses and dental insurance. I might be biased because I am originally from the Midwest, and it's honestly my favorite part of the country (unpopular opinion). The weather is not a problem for me, but the isolation of Ann Arbor is slightly detracting (whereas the proximity of SAMSI to NC State and Duke is very appealing). I just visited Duke and NC State, and they both had beautiful campuses and very friendly faculty and students. However, I was slightly concerned that NC State seems to have a high percentage of domestic students who fail the qualifying exams. My questions mainly are: 1) Is there a major difference between Duke, Michigan, and NC State in terms of rigor and/or potential for landing a postdoc at a strong program? 2) I'm also considering offers from lower ranked programs: UNC Chapel Hill, Purdue (with a fellowship), Emory (biostatistics), UC Davis, and Texas A&M. Is there a notable difference in the prestige of these programs compared to Duke, Michigan, and NC State? How accurate/reliable/useful are the US News rankings? Thank you so much for any input!!!!!!

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Stat PhD@UNC&PSU&UMN&UFL&Biostat PhD@Upenn
little white in Stat posted a topic in Decisions, Decisions
I am considering my potential decision for these statistics&biostatistics PhD program. It is really a hard choice because I don't know these programs in detail, such as reputation, academic placement. I want to engage in statistical research and step into the academic fields in the future. I am more likely to go to UNC because of its higher reputation (actually, I am not very sure because their ranking shown in USnews is very close.) And they seem to have many professors engaging in machine learning, which is one of the popular topics these days. I am also attracted by its biostatistics department, which ranks Top 5 with many renowned professors in individualized treatment, deep learning and theoretical fields. But in recent years, the rank of statistics department in UNC is not higher than before maybe because of some distinguished professors went to other universities. I am also worried about the correlation between statistics and OR because actually there are two areas in their department. Actually, I am more interested in UNC because of its connection with its biostat department and stat department at Duke and NCSU and the gold triangle areas. The statistics departments at UMN and PSU are bigger than UNC. And the research fields are pretty more than UNC. Although they have many distinguished professors, the academic placements may be not better than UNC because I see that more distinguished professors in other Top departments graduated at UNC. The MCMC fields is pretty strong in UFL. And Upenn may be can find potential chance to choose a coadvisor in Wharton. Really look forward to your sugestions! Thanks! 
I got accepted into several fullyfunded MS programs in Statistics. In all of those programs, students get to choose between thesis and nonthesis track. Nonthesis tracks vary from program to program, but often consist of some extra coursework + a writing project, or a lot of extra coursework + an oral exam. Students also need to pass a qualifying exam after their first year regardless of the track they choose. So my question is: thesis or nonthesis, what are the pros and cons? My goal is to get into a good PhD program after (MS + 1~2 years working in industry). Thank you!
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Hello I am a prospective MPA/MPP/M.Dev student and I have applied to a couple of policy and administration programs for the Fall 2019 session. My grades in my earlier education are not good especially in Statistics and Calculus. I am not too hopeful that I will be getting admits at good colleges this session as my essays were also not upto the mark. I am ready to put in serious efforts for the next year application cycle and I want to start with the prerequisite courses (Stats and Calculus). I was wondering where can I take such courses for which credit are accepted by colleges like HKS, WWS, Chicago, Sanford etc (Coursera and eDx are not accepted as mentioned in the college websites). Although open to both online/offline, my preference remains online courses as I am located in India. Please let me know Thanks
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Anyone applied to PhD in Stats program at UBC or SFU for F19?
JDStat posted a topic in Mathematics and Statistics
Anyone applied to PhD in Stats program at UBC or SFU to start in Fall 2019? The application deadline has passed, so I am assuming that they are reviewing the applications at the moment.
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Fall 2019 Data Science Master Profile Evaluation US
datascienceboy posted a topic in Mathematics and Statistics
Undergraduate Institution: Cornell University Majors: Statistics Minor: Computer Science Cumulative GPA: 3.61 Student Type: Domestic Asian Male GRE General Test: Quant:169, Verbal: 166, AW: 4.0 Classes: Statistics: Statistical Methods I (A), Statistical Methods II (B+), Probability Models and Inference (A), Statistical Data Mining (B+), Stochastic Processes (A), Theory of Statistics (A), Linear Models with Matrices (B+) Mathematics: Linear Algebra (A), Calculus III (B+), Differential Equations (B) Computer Science: Machine Learning for Intelligent Systems (A), Artificial Intelligence (A), Discrete Mathematics (B+), Java Programming (B) Intern Experience: Two internships in risk and venture capital Teaching Experience: Teaching assistant for intro statistics, and also probability class Other Information: Took several online MOOCs, Officer of Actuarial Society (passed SOA Exam P), did several data science projects for class and in own time Letters of Recommendation: 3 from stats professors, one from machine learning professor Schools planning to apply: Stanford (M.S.), Penn (M.S.), Columbia (M.S.), NorthWestern(M.S.), NYU (M.S.) My Concern: Intern experience doesn't directly relate to data science analysis, GPA is a little bit low (although I believe our school is known for grade deflation?) Programming skill: Python, R, some experience with Java, C++, Matlab Thanks in advance
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I took the GRE on October 30 and received the following: 157V, 162Q, 5.5 AWA. I'm trying to get into a decent master's program for applied statistics/quantitative methods. I'm completely fine with what I scored on verbal and writing, but my quant score was dramatically lowered than what I both hoped for and expected. On most practice tests, I was scoring around 165/166Q. Is it worth retaking when there's little chance I will improve my verbal and AWA scores, just quant?

Hello all, A bit more of a nontraditional background here. I was an econ 'mathlight' major in undergrad. Started to get interested in statistics after a year long course in econometrics my senior year (lower level  no prerequisites in multivariable calc or linear algebra if you can believe it...). I didn't feel overly satisfied with continuing on a finance track as a profession, and decided to jump into the maths after I graduated. Over the past year plus I have been working from the ground up taking courses in mathematics, statistics, and computer science, and have loved everything I've taken. I also (hope) I've done relatively well in these courses, but unfortunately no matter what I do I cannot seem to get my GRE score up... It seems silly to me that I can take these courses and do well, but somehow struggle with high school maths ?(...and I have done loads of studying, tutoring, and the like in an attempt to pick these scores up). I will certainly be applying abroad to programs that do not require GRE scores. (Please excuse the slightly bitter rant to follow). It does seem a little bit odd that programs across the globe all require around the same basic coursework, but largely only US schools require the GRE. This makes sense to me for the obvious reason of sifting through piles of applications, and for the purposes of having a standard means to equate applicants who come from less familiar universities, but does a high GRE score really translate into an ability to succeed in the masters level? I guess I'm holding onto a prayer that my (super) low GRE scores could be overlooked given what seems like a pretty odd mismatch between my scores and my academic performance? I should also note also that my SAT scores were awful as well, but I don't think that really impeded my performance in undergraduate level mathematics... Am I praying too hard here, or am I just out of reach for US schools (or for that matter am I out of reach for all the schools I listed)? Are there schools that would better fit my profile? Any and all advice is greatly appreciated! Sorry for the essay.. Undergrad Institution: Liberal Arts *Since Undergrad*: Ivy Major(s): Economics Minor(s): Philosphy GPA (undergrad): 3.74 GPA (*since undergrad*): 3.84 Type of Student: Domestic Male GRE General Test: Q: 157 V: 153 W: 4.0 Programs Applying: MS/MA Statistics Research Experience: N/A Pertinent Activities or Jobs: (not sure they are all too pertinent..) 3 summer internships in finance (equity research, insurance brokerage, investment banking) while in undergrad Letters of Recommendation: Linear Algebra (strong), Real Analysis (I think strong pending he says yes!  just asked), Statistical Inference (I think strong pending he says yes!  just asked) Relevant Coursework: Econ: (not sure this will bear any weight): Corporate Finance (3.67), Micro(4.0), Macro(3.3), Int'l Finance(3.67), Intro to Statistical Data Analysis(4.0), Int'l Trade(3.67), Econometrics (4.0) In the past 1.5 years:  Calc I (4.0)  Calc II (4.3)  Accelerated Multivariable Calc (two full Calculus courses (III & IV) taught at this institution and rolled up into a one semester course  3.3)  Linear Algebra (4.0)  Intro to Proofs (Pass)  Real Analysis (first ~ 6.5 chapters)  Rudin (4.0)  Intro to Java/CS (4.0)  Probability Theory (taught to both undergraduates and graduates with no distinction between the two  3.3) Currently taking:  Statistical Inference (also taught to both the undergrad's/grad's with no distinction b/w the two  on course for 4.0 to 4.3)  Linear Regression Models (a bit more on the applied side, also taught to both grads and undergads)  Data Structures in Java Next Semester:  Advanced Linear Algebra  Statistical Computing (taught to both grads/undergrads)  maybe Advanced Programming  possibly audit another math course (for personal fun, Analysis and Optimization for example).. Over the Summer:  possibly Time Series Analysis  possibly Statistical Machine Learning  possibly some Python online courses.. Applying to Where (Subject to adding and subtracting *advice welcome*): US: Stanford Berkely Chicago Columbia Duke University of Washington WisconsinMadison Cornell Abroad: LSE (Senior year spent here) Oxford U of T UBC McGill Imperial UCL Thanks!!!

Hello everyone! I intend to apply for the M.Sc. in Statistics at one of the Canadian universities. The department suggests that applicants provide their GRE scores (if they're high enough) though it's not required. I've got 169Q, 148V, and 4.5AWA, and while Q and AWA scores are acceptable, my verbal score is not impressive at all. However, since I'm applying for a quantitative program, I'm not sure whether the admission committee will pay much attention to verbal scores. Should I send my scores anyway? Is there any possibility that low verbal score will hurt my application?

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