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Found 260 results

  1. 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.
  2. doctormelody

    Statistics requirement?

    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 in-state 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).
  3. 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
  4. 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?
  5. Hello all, A bit more of a non-traditional background here. I was an econ 'math-light' 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 Wisconsin-Madison Cornell Abroad: LSE (Senior year spent here) Oxford U of T UBC McGill Imperial UCL Thanks!!!
  6. 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?
  7. I came to the US as an undocumented immigrant from El Salvador and graduated in Business Analytics B.S. with a Computer Science minor. I am applying to Statistics and Biostatistics PhD programs for Fall 2019 and am currently a Database Analyst using Python and SQL at a tech company. My biggest concerns for a PhD application are my GPA (3.25 GPA) and lack of research experience. No research: I only found out about formal academic research until my 6th/7th year of undergrad. I did a few years of music degree and by this time, I was 100% focused on internships, technical skills, and the salary that came with a full-time industry job post-graduation 3.25 GPA I constantly overloaded on credits. Over my 7 years of undergrad, I took over 200 credits because I was always in a hurry to graduate and make money. I finally settled down during the end but I always cared more for making a white-collar income ASAP than getting a B as opposed to an A. These explanations boil down to that I never considered graduate school as an option for me until it was "too late". I have had a few successes. I have published an article in ASA's AMSTAT News October 2017 issue detailing my experiences entering and sticking through a STEM degree. I also had a talk proposal accepted to PyData 2018 on the Value of Null Results. I'll be presenting on data that I collected while delivering pizzas and how results weren't always statistically significant. I am confident in my empathy, communication, and curiosity. But I fear that I can't make it past the metrics filtering of schools which prioritize arguably safe, applicants. How can I best use my resources (money and time) and apply for schools that actually care for accepting students like me, who the academic system was not built for? It seems many schools and programs have diversity statements but I don't know how to judge authenticity. Any advice would be greatly appreciated.
  8. Hi guys, I'm from New Zealand and worked for Deloitte Consulting since graduation for the previous 2 years. Undergraduate Institution: University of Auckland (top 1 in NZ but around ~120 globally) Majors: Statistics, Economics and Finance Cumulative GPA: our GPA uses different scale I got 7.5 - 7 stands for A-; 8 for A and 9 for A+. I assumed it was around 3.8? Major GPA: 7.9 Student Type: Asian female GRE General Test: Quant:166, Verbal: 158, AW: 4.0 (will retake again next week as I dont think my GRE is higher enough to get me to top tier?) Classes: Statistics: Mathematical Statistics (A+), Statistical Modelling (A); Introduction to Statistical Inference (A), Stochastic Prcess (B+), Data Analysis for Commerce (A-); Statistical Programming and Modelling using SAS (B+) Mathematics: Differential Equations (A-), Advancing Mathematics 2 (A-), General Mathematics 2 (A+) Research Experience: Worked on a ICU discharge policy under information system departmenet - summer research scholarship, no publication Intern Experience: 1 - Group Strategy Analyst at a global dairy company doing market strategy, digital strategy etc project support 2- Consulting analyst at a leading consulting firm in market research doing market resarch projects Work Experience: Deloitte Consulting in Information & Data Analytics team for 2 years. Project involved: data strategy, data platform, data visualisation and other strategy projects Teaching Experience: Teaching assistant for stage 1 Statistics course Letters of Recommendation: 4 options - havent decided yet! Help please 1: Director of analytics team - strong recommend (team lead) 2: Director of digital team - strong recommend (my coach) 3: Senior lecturer in Economic Department - strong recommend & close; did a few ecnometrics paper with him 4: Profession in Stats - globally well known statistician however not very close; got A+ from one of his class. might be just strong? Schools planning to apply: Stanford (M.S.), Harvard (M.S.), MIT - business analytics (M.S.), Penn (M.S.), Columbia (M.S.), NorthWestern(M.S.), Duke (M.S.), CMU (M.S.), NYU (M.S.) My Concern: work experience doesn't directly relate to data science & data analysis. more relate to data management, strategy (i.e. data migration, data quality, data visualisatoin, overall strategy type of projects) Programming skill: R, SAS, SQL; self-learning Python at the moment Question: 1: any safe schools for recommendations? looking for 1.5 / 2 years programme for data science as I want to build my programming skills & career progression to a data scientist in consulting firm 2: am I over applying to top tier schools? Stanford would be dream! But I think I reached the bar for Columbia / Duke / Upenn - not too sure though 3: help for LOR selection Many thanks!! Appreciate your assitance in advance.
  9. Undergraduate Institution: Top 10 by US News Ranking (Ivy League/MIT/Stanford/Duke/UChicago) with top 5 stats program Major//Minor: Statistics major and CS minor Cumulative GPA: 3.79 Major GPA: 3.82 Student Type: International Asian Male GRE General Test: Quant:170, Verbal: 160, AW: score hasn't been out yet GRE Math Subject: not planning to take it Classes: Statistics: Bayesian Stats (A+), Machine Learning (A), Mathematical Stats (A), Regression Analysis (A-), Statistical Consulting (A), Decision Analysis (A-), Causal Inference (in progress) Mathematics: Linear Algebra & Differential Equations (A), Multivariable Calculus (A-), Probability (A), Basic Real Analysis (in progress) Research Experience: I worked on applied statistics research on the topics of missing data imputation and prediction model for my senior thesis in statistics (It is a year-long project). I had a good working relationship with my advisor, and really learnt a lot from this experience. I am currently working on methodology research in causal inference and ML with two other faculties in the statistics department. The research has been going well, and we are publishing the paper in the upcoming few weeks. I have also worked on interdisciplinary research in energy data for about a semester, where I got acknowledged contribution for the published paper. Research Interests: I am interested in both applied and methodology research in statistics. Specifically, based on my past research experience, I find causal inference a fascinating field, and can see myself working on problems related to this field in the future. In addition, I also enjoy building prediction model, and apply advanced statistical techniques and machine learning to problems related to social science/healthcare. Publications: To be submitted: I am submitting my causal inference research paper in the next few weeks. Acknowledged Contribution: Scientific Data (accepted) Teaching Experience: I was a TA for undergrad level mathematical statistics and graduate level bayesian statistics class. Letters of Recommendation: I haven't asked my advisors for rec letters yet. If everything works out, I will have one strong letter from a senior faculty in stats department, where I worked with this faculty for a year for my senior thesis. Another letter from a junior faculty in stats, where I have working relationship with this faculty (research + TA) for around 5 months. Another letter from a senior faculty in stats/CS (also 5 months of research with this faculty). My Questions: Since I am applying for both statistics/biostatistics PhD, there are lots of options. I would like to narrow down my options to 15 - 20 schools. I am leaning more toward statistics program, so I will apply to more stats than biostats school. My target programs are Harvard, UW, U Chicago, and CMU. What are my reach school and safety school? Is it bad if I apply to the same school for both stats and biostats programs?
  10. Hi and thanks for taking a look! I’m finishing up my senior year of undergrad and I’m planning to apply to Stat PhD programs for Fall 2019. I would appreciate any opinions on my chances at the schools I have already started my applications to and any advice on picking more schools to apply to. Undergrad Institution: Large state school with a big statistics department (~200 majors) Major: Mathematics & Statistics, Analytics GPA: 3.9 Cumulative, 3.86 Major (4.0 Scale) Applicant Demographics: Domestic White Male GRE General Scores: 163v/164q (Unofficial since I took the test this week) Statistics Courses: Intro Statistical Modeling (A), Probability (A-), Regression Analysis (A), Statistical Programming (A), Statistical Learning (A), Data Visualization (A), Inferential Statistics (A), Time Series (A), Intro Bayesian Statistics (in progress), Statistical Consulting (in progress) Mathematics Courses: Calculus 1-2 (AP), Linear Algebra (B+, honors course), Calculus 3 (B+), Differential Equations (A), Abstract Algebra (A), Real Analysis (A), Numerical Analysis (A), Optimization (A-) Computer Science Courses: Data Structures (A), Database Systems(A), Algorithms(A), Artificial Intelligence (in progress) Research Experience: I’ve worked with one advisor and various other students throughout undergrad. From a project freshman year I’m an author on a paper that is currently accepted pending minor edits in a B tier stats journal, hopefully will be accepted before applications are due. Sophomore year I worked largely independently on a project that I went on to present at the JSM and placed in a graduate/undergrad competition. Junior year I also presented a project at the JSM that resulted in some useful tools that I published as an R package on CRAN. Awards/Honors: Participated in our school’s DataFest a few times and was on the winning team twice. Awarded scholarships from the math/stats/business school analytics programs. President’s list/Dean’s list each semester. Relevant Work/Teaching Experience: I’ve had an IT internship at IBM, which led to a year long co-op as well as a summer research fellowship in the biostatistics department of a large children’s hospital. I’ve assisted professors as an unpaid TA in our stat learning, inferential stats, and intro modeling courses (mostly office hours, helping with classwork/programming and teaching occasional small lessons) Letters of Recommendation: One from my research advisor, one from our stat department head, one from a professor I’ve helped in class, and a final from my real analysis professor. I think these will be relatively strong. Additionally, if I decide to apply to any biostats schools my mentor from the hospital will write a letter. Concerns: the low grades in my first few math classes, but will my later grades mitigate that? Also I know my gre quant could stand to be a bit higher. If you see any other concerns from my profile let me know so I can consider those in my personal statement! Programs I've started applying to: NC State, Iowa State, Purdue, UC Irvine Programs I’m considering applying to: Pitt, CMU, Duke, Michigan, (JHU/Harvard for biostats) I’m not sure how many programs I should apply for. If there are any programs doing data science/stat learning/spatial where you think I would fit in please let me know! Also, I don’t know if any of my options are too safe so it might not hurt to add a safety. Again, thanks for reading this!
  11. Hello! I completed my BS this summer and am hoping to attend a stats PhD program starting next fall. I would appreciate some assistance in deciding on a reasonable selection of programs to apply to (I'm currently thinking that I'll apply to 9 in total). Undergrad Institution: University of Oregon Major: Mathematics GPA: 4.06 cumulative / 4.05 major (on the 4.3 scale used by my school - adjusted to a 4.0 scale, 3.78 cumulative / 3.77 major) Applicant Demographics: Domestic White/Hispanic Male GRE General Scores: 170 V / 166 Q / 4.5 AW Relevant Courses: 200 or 300 level (sophomore and junior): Calc I, II, III: A, A+, A Multivariate Calc I, II: A+, A+ Differential Equations: A Linear Algebra: A+, A+ Intro to Proofs: A Elementary Analysis: A 400 level (overlapping senior/first year graduate): Complex Analysis I, II: A, A+ Real Analysis I, II, III: A, A, A- Topology I, II: A, A Differential Geometry: A+ Abstract Algebra I, II, III: A, A, W (I withdrew from the final term) Prob & Stats I, II: A, A Linear Regressions: A Research Experience: Not really sure if this counts, but I did a senior thesis which involved investigating an unsolved problem in random matrix theory (with the intention of trying to solve it). Nothing publishable came of it, but it did involve reading a number of graduate-level textbooks and academic papers as well as reproducing and elaborating some extended proofs for the writeup. Honors: Received an award from the math department for being "the outstanding graduating senior" of my graduating class of ~55 in math. Also Dean's List for all semesters eligible and graduated summa cum laude (top 2%) and with departmental honors (for the thesis). Relevant Teaching and Work Experience: None. Letters of Recommendation: One from my thesis director - a probabilist - which should be strong, a second from my topology instructor and a third from the professor who taught all three of the courses in stats that I took. Concerns: Very little on-the-record programming experience. The only course in which I did any programming was the linear regressions course, where we used R pretty extensively. I do know some Python, but I have nothing to testify to that fact. Also: the 'W' in Abstract Algebra III. Programs I'm considering (for the moment) applying to: University of Washington, UNC - Chapel Hill, Rutgers, UConn, Pitt, Ohio State Not firm on any of those, however, and I realize the first two at minimum may be BIG reaches. As I mentioned, it would be much appreciated if someone could tell me whether this range of schools is shaping up to be reasonable and suggest some others - I'm looking (ideally) for a program which provides a pretty rigorous backing in the theory of statistics and probability. Thanks for your help!
  12. Undergraduate Institution: NC State Major//Minor: Statistics, Minors in Math, English, German Cumulative GPA: 4.00 Major GPA: 4.00 Student Type: Domestic White Male GRE General: Q: 168 (94 %tile) V: 168 (98 %tile) W: 4.5 (82 %tile) Classes: A+: Java, Intro to Advanced Math, Statistical Computing, Regression Analysis A: Calc 3, Intro to Stat, Linear Algebra, Survey Sampling, Experimental Design, Data Science, Operations Research A-: Differential Equations, Math Stat I, Math Stat II B: Real Analysis I (honors section if that counts for anything) In progress: Nonparametric Statistics, Applied Time Series, Real Analysis II Programming Experience: R, SAS Certified, SQL Research Experience: SIBS at Boston University, statistical genetics REU, functional data analysis research with professor at NC State Work Experience: Internship as Data Scientist at Boeing, applied statistics work for fundraising office at NC State Research Interests: Statistical genetics, machine learning, unsure Publications: None Letters of Recommendation: Strong letter from REU mentor, letter from advisor and letter from professor I did research with at NC State Schools: Statistics PhD: Carnegie Mellon, Ohio St, Penn St, NC State, Cornell, Minnesota Biostatistics PhD: Harvard, Washington, UNC, Boston U My concern: low grade in analysis, lack of other high level math courses
  13. Hi everybody, I'm in desperate need of help deciding which grad programs to apply to. I'm interested in computational statistics and machine learning. Undergrad Institution: State flagship in the south, sub-50 US News ranking in stats. Our stats program is very small. I know one woman from here who got her phd at Ohio State. Our math dept. has sent some students to pretty good schools in the past few years though. GPA: 4.00 GRE: 168 V / 166 Q / 3.5 W Major: Math Minors: Computer Science, Statistics Type of Student: Female, Domestic, White Relevant Courses: I've taken Real Analysis 1&2, Linear Alg, Numerical Methods, a ton of cs courses, Machine Learning, Operations Research, Probability, 3-4 or so applied stats grad classes like Applied Regression, Design of Experiments. Next semester I'm planning on taking Stochastic Processes, Statistical Inference, and Applied Multivariate Analysis. I also have a W in a pure Linear algebra class. Programming Experience: C++, Python, Java, PHP, SQL, SAS, R, familiar with working in Linux environment Research: None Teaching Experience: I've worked as math study group instructor for three years Work Experience: This past summer I was an intern at a small company. I did mostly web programming. Letters: I'm not expecting amazing letters. I think I'll have two average ones and one pretty good one. I originally intended to only apply to MS programs, to give me a better shot of getting into a PhD program. However, I talked to some professors who told me to just apply to Phd programs, but I definitely can't afford to not have anything lined up for next fall. I would be eternally grateful to anyone that could take a look at my chances and maybe even recommend some programs for me Some schools I'm looking at: SDSU, UC-Riverside, UT-Austin, UC-Irvine, University of Connecticut, University of Illinois-Chicago I have residency in Ohio, so I'll probably apply to the masters program at OSU and some other Ohio schools Thank you so much!
  14. Undergraduate Institution: Relatively medium sized state university in South, nationally unranked Major: Mathematics Minor: Statistics and Economics Cumulative GPA: 3.95 Major GPA: 3.92 Student Type: International, South Asian GRE General Test: 164Q, 151V, 3.5AW Classes: Calculus I,II,III (A,A,A),Vector Calculus (A),Differential Equation (A) Linear Algebra (B) Intro to Adv. Maths (A),Real Analysis I,II (A,A), Abstract Algebra I (A) ,Discrete Mathematics (A),Numerical Analysis (A) Graph Theory (A) Introductory Statistics(A),Statistical Computation and Analysis(A), Mathematical Statistics I (A)Experimental Design (A),Regression Analysis (A), Econometrics(A),Independent guided study (B):it was a single credit course In progress: Complex Analysis,Topology (Expected A in both) Courses last semester : Mathematical Statistics II &Abstract Algebra II (will talk about this in SOP) Programming Experience: R, C++,(Took a class for both, have very preliminary knowledge) Research Experience: One summer REU at one of the top 5 (USnews) stat PhD University this summer.Worked on applied math project.Produced a paper and submitted to journal for publication but have not heard anything yet. Worked with an oncologist on a paper about "ROLE OF STATE LEVEL AND NATIONAL LEVEL CANCER DATABASES IN LEUKEMIA RESEARCH".Poster presentation was done in a conference in Hawaii. Apart from those, I have worked on some little math projects with my professors and presented them twice at national conference and thrice in university conference.I am in touch with another oncologist who is working on precision medicine, so if everything goes well, I will start working on a paper with him from coming January. Research Interests: I have figured out fields like Clinical Trials Design and Analysis, Precision Medicine, Imaging,High Dimensional Data Analysis,Statistical genetics, Biostatistics theory,Survival Analysis,Environmental and Spatial Statistics in biostatistics.I don't know in depth about any of these. I want to work on applied field.Please suggest me a good one which is less explored. Also, In statistics I have figured out fields like Bayesian Statistics, Multivariate and Time series Analysis, Robust Statistics, Regression Modeling.Please add some more you know and suggest me an applied research field. Recommendations:First one is from my Math Chair and should be a really good one.Second from my statistics professor, do not know how that is going to be but he knows me really well and I have A in all his classes.Third one is from my research advisor at REU.Hope that would be a pretty good one. Awards/Achievement:Nothing much but Calculus competition Winner,Inducted to Pi Mu epsilon honor society,Math Club President. I am planning to apply 15-20 universities.Please suggest me at least 7/8 for both (statistics and biostatistics)
  15. Undergraduate Institution: University of Virginia Major//Minor: Statistics (Interdisciplinary BA with a concentration in Econometrics) // Physics Cumulative GPA: 3.83 Major GPA: 3.84 Student Type: Domestic White Male GRE General Test: TBD Classes: A+: Mathematical Probability A: Calc 3, Macroecon, [Physics-motivated programming class teaching C], Regression Analysis [with SAS], Data Analysis with Python, [Stats class teaching R], [Stats class on database usage/manipulation focusing on SQL], Statistical Machine Learning, Intro Physics 1, Ordinary Differential Equations A-: Astrophysics 1, Intro Physics 2, Linear Algebra, Stochastic Processes B+: Modern Physics, Intro Mathematical Statistics In progress: Basic Real Analysis, Statistical Physics, Nonparametric Statistics, Survival Analysis and Reliability Theory, Applied Time Series Programming Experience: R, SAS, Python, C, MATLAB, SQL, Minecraft Redstone Research Experience: I worked in the Chemistry Department from my very first semester through the end of my first summer performing research on signal analysis; model fitting to fluorescence lifetime decay data; decomposing mixed spectral data into individual absorption spectra; and various simulations including photon absorption rates, effects of various diff eqns on proposed systems, and effects of arbitrary optical filters on data collection. I also worked on interfacing the data collection instruments with different programs. Since then, for the past two years I've been working in the Biomedical Engineering Department focusing primarily on image analysis techniques and novel ways to analyze the resulting data (in broad strokes). During this time, I have also worked on different projects in the lab including simple cellular system simulations; creating data visualizations for 3D cellular systems from 2D slices, among other data presentation methods; and ratiometric analysis for different nanoparticles. Research Interests: As you can see, I have bounced around working on several different subjects. Broadly, my interests are in applications of methods or techniques across disciplines. Statistics is in everything, and I want to see how bringing together different fields can improve the methods of both parties. For example, I found great enjoyment when I found parallels between statistical analysis of video games and bio systems and was able to use ideas from the former to enhance the latter (if only slightly). I realize this is very vague, but I'm an undergraduate student; what do you expect? I am definitely more applied-oriented, and I'm very open to learning about other applications of statistics in any field. Publications: Submitted before deadlines: Between third and sixth author on a paper which uses a 3D graphic of mine and uses a simulation technique of mine [minor to moderate impact journal]. Third author on a review paper of vessel analysis methods [minor impact journal]. First co-author on the paper about my primary research and the statistical techniques developed to analyze the data [moderate to high impact journal] Most likely submitted in December: Between third and sixth author on a paper which uses data gathered using my program [moderate impact journal]. Teaching Experience: I was a TA for a graduate level chemistry course my second semester of my first year, and I was a TA for the intro stats class. For what it's worth, I've been a private tutor in statistics for two semesters. Teaching Interests: My greatest passion is teaching. I absolutely want to go to a program where I will have greatest opportunities to teach. Letters of Recommendation: Strong letter from a statistics junior faculty member with whom I've worked since Fall 2017 as a TA and throughout this summer developing new course materials for the intro stats class. Strong letter from a statistics faculty member whose class I took, and with whom I have maintained a dialogue since Spring 2018. At this point she's very familiar with me, my interests, and my abilities. Lastly, a very strong letter from the head of the lab I've been working in for 2 years (Senior faculty in the BME department). My Questions: I don't have GRE scores yet so let that be a variable. Assuming I get at least a 166-168 on the Quantitative section, and I don't flub the others, what range of schools are within my reach? I am extraordinarily confident that I will be accepted to UVA, but what do you think my upper limit is? My second question would be for a list of schools, if possible, you think could align well with what you believe my interests are. Geographically, I want to go to a school on the east coast where it snows in the winter. I do realize that cuts out a large portion of schools ranked between UVA and Stanford. I apologize for the rather lengthy post, but with more data comes a stronger conclusion, right? I'm happy to answer any questions, and thank you very much for any comments, remarks, critiques, or advice.
  16. I am currently in the process of writing a statement of purpose for statistics/biostatistics PhD programs and I am not certain what to write for my academic/research interest. I do not really know what my academic/research interests are. How do I elegantly say that I don't really know my academic interest while maintaining my competitiveness? Is it okay to just state that I would like to spend my first two years as a graduate student exploring the field of stat/biostat then deciding on an area? Or should I list some topics and say that I am potentially interested in these areas? I know that biostat is the field I want to get into but as a math major, I do not feel like I have the sufficient background and knowledge to definitively say what my research interests are. Any help would be greatly appreciated.
  17. I would like to provide some information regarding the reality of getting admitted to top 5 ranked Canadian graduate schools in the Computer Science Program. I work in the field and it appears to me that many applicants are not aware of some of the basic requirements to be admitted that are not overtly stated but definitely required. Unfortunately, I am unable to reveal my university or position as I wish to remain anonymous. Most of the time, you MUST have previous degree from a top school of your country, especially for students with a degree outside of Canada/USA/UK. This is extremely crucial for international students and unless you meet this requirement, it is extremely difficult to be admitted. For most countries, you will need to be in the top 5-10 universities in your country (excluding Canada/US/UK/India). For India, UK, and Canada you will generally need to be in the top 20 universities and for the US, top 50 may be considered, however, top 20 has a greater chance of being admitted. One of the first considerations of the reviewer is the school in which you graduated and how that school ranks in your country. To elaborate, having a degree from a top university is important because this is the only sure way to prove that you are performing well academically because the teaching standard and research caliber of top schools are widely recognized and can easily be compared top Canadian universities. It is impossible for each top Canadian university to understand the teaching, grading and research standard of hundreds of thousands of universities in the world, including many in a foreign language with public and private systems and most reviewers will not dig around for information regarding unknown institutions. For example, there are some universities that give a grade of 75% or above to only one in a few thousand students, whereas another university can have a graduating average of 3.7 GPA. With variations like these, unless you graduated from a top university in your country where the general grading trend and teaching quality is recognized by the Canadian school, your chances of admission are slim to none. Furthermore, the other reason a top university is important is that reviewers want to see reference letters from colleagues or faculty they know and value the opinions of. Since most top researchers in Computer Science meet in major conferences, presentations and events around the world, they are aware of each other’s work, reputation and standards when writing and reading reference letters. Most of these outstanding members of the academic community are also positioned in top schools coinciding with the reviewer’s search applications from top schools. The top Canadian graduate programs in Computer Science receive over 1000 and sometimes even over 2000 applications per year, with three reference letters per application this is an astronomical number of letters to read. Taking this number into account, while the content of reference letters matter, the respectability of the reference writer is arguably even more important. For example, a reviewer reading 100 applications a day would have to read 300 reference letters, 100 of them may indicate that the student is in the top 10% of their program. In the end, being top 10% may not mean anything because there are too many top 10%s and it does not indicate the quality of the student or education. Moreover, there have been examples where the same reference writer indicated that three different students from the same year and class were the number one student in their class. In cases like these, reviewers go back to looking at the top universities, since the caliber of education is known, and they may know the reference writers, therefore, ensuring the letter is reliable. If you believe that there are many exceptions to the rule, consider that the admission data from the previous year from one of the top Canadians schools: only TWO offers out of more than 100 offers made were outside of the guidelines above. Of course, an excellent statement, GPA, reference letters, GRE, and English proficiency are also required even from a top university. Moreover, other factors such as publications, conference experience, research projects and work experience, other achievements are also considered, however, if you do not meet the top university requirement, you will likely need astounding achievements in the other factors to even be considered for admission. The information provided refers to research Master’s and PhD programs in top Canadian universities and does not necessarily reflect industry targeted master’s programs in Computer Science. I am happy to answer any questions or clarify any points, feel free to contact me or respond to this post.
  18. Undergrad Institution: Best in Kazakhstan (US type of system, taught in English)Major(s): BiologyMinor(s): Computer ScienceGPA in Major: ~3.7Overall GPA: 3.33 (will be higher hopefully, by Nov)Position in Class: averageType of Student: International, female, minority (Asian)GRE Scores (revised): not taken yet, but practice ~160 Q:V:W:B:IELTS: ~ 8 (take soon)Research Experience: Molecular Biology Lab Technical work for 1 year > no publications (ongoing big project) Going to start BCI research this semester, review paper in the makingAwards/Honors/Recognitions: Dean's list several timesPertinent Activities or Jobs: private tutoring for SATsAny Miscellaneous Accomplishments that Might Help:Special Bonus Points: I'm auditing Master's level robotics class? (can be mentioned on transcript)Any Other Info That Shows Up On Your App and Might Matter: took Computer Science classes, participated in Mobile Application Development Incubator, interested in neuroengineering or research related to technology within neuroscience (any Lab suggestions are welcome) Applying to Where: Neuroscience (where there's also engineering involved in research)University of PittsburgUCSD (how many international students they accept?)Rochester, Emory Not Sure: University of Washington, Northwestern, MIT, John Hopkins, UPenn, Boston University Brandeis, Mount Sinai, Baylor, UMich What are my chances? I feel like compared to other candidates my application is flat, no glowing LORs (I will be lucky if they will be ok), average GPA, no research. Should I take a gap year and not even try? Is it better to go to Master's somewhere in Europe or apply for RA job in US, or do I maybe have chances to get into MSc in US? If you send GRE scores 1 time, would they still have them next year?
  19. Is it worthwhile to quit my job to focus fully on my master's degree? My master's is currently unfunded, but I have a decent amount in savings and plan to hopefully work a part-time job to offset any loans I may have to take out. My undergrad was in Psychology, and I made the jump to Statistics and CS and the transition has been difficult, but I love it. My current job is unrelated to my field, but it is flexible and is funding my education, which is a huge incentive to stay. However, balancing both graduate school and full-time work is taking a toll on my mental and physical health. I have started having back problems and neck problems from sitting all day at work and sitting all night working on homework. The lack of free-time has also started triggering panic attacks. I've been seeking treatment for these conditions, but it all boils down to stress triggering these issues. I know if I really buckle down, I can get through the semester, but at what cost? Once I graduate, the types of jobs I can apply for pay a lot more than my current job. I'm feeling stuck because the situation I'm in is one that most would envy, but it's seriously effecting my health. Should I quit and focus on graduate school full-time at the risk of incurring debt, or should I stay at the risk of degrading health? Any advice, personal experiences, etc. would be extremely helpful.
  20. I'm an international student who graduated from the UK in 2016. I'm applying for PhD programs in Biostatistics/Statistics, starting Fall 2019. Please leave some comments on my profile, especially the range of schools to which I'm applying. BSc Degrees: Mathematics with specialization in Statistics from a top-10 university worldwide GPA: Top 10/~250 Master Degree: Finance from a top-10 university worldwide GPA: Top 10/~40 Type of student: Asian male Program desired: PhD in Statistics/Biostatistics Research Experience: coauthor of one published paper on an international journal in econometrics. I have also done 2 research projects (~ 3 months each) that were outsourced by private companies. Both were related to Statistics/Data Analysis. During undergraduate studies, I had 1 individual poster project, in which I made a poster on statistical classification using LaTeX and presented to faculty members, 1 group project on Support Vector Machine and Kernel Smoothing, which also involved writing a report and presented our work to professors, and 1 individual project on Pattern Recognition, which heavily involved R programming. Teaching: 2 semesters of TA in Probability & Statistics and Time Series. I will TA another 2 semesters this year LOR: 1 from my professor in the UK, who was my personal tutor. 1 from a professor, who is currently the director of the research institution I'm working at. Both should be strong. I can get the last letter from another professor, but whether it's strong or not is a question mark. Programming: Proficient in R, MATLAB. Competent in C++, Visual Basic. Proficient in LaTeX GRE: Verbal 162, Quantitative 170, Writing 5.0 GRE Subject Math: 820. Not sure if I should retake Coursework: most were A+, some were A and 1 B in Computational Maths. My first 2 years focused on developing a rigorous mathematical background while my final year consisted of graduate level courses, mainly in advanced Statistics. First year: Foundation of Analysis, Mathematical Methods I, Mathematical Methods II, Computational Maths, Mechanics, Probability and Statistics I, Geometry and Linear Algebra, Algebra I, Real Analysis Second year: Probability and Statistics II, Algebra II, Introduction to Numerical Analysis, Analysis I, Complex Analysis, Statistical Modelling, Differential Equations, Multivariate Calculus Third year: Statistical Pattern Recognition, Applied Statistics, Stochastic Simulation, Credit Scoring I, Scientific Computing in C++, Quantitative Finance, Survival Analysis, Games Risk & Decisions Research Interests: I'm interested in high-dimensional statistics and machine learning, with applications to chronic diseases and cancer research in particular Applying to: Biostatistics: Harvard UNC Wisconsin-Madison (biostatistics track) Minnesota - Twin Cities Rochester Statistics: CMU (joint statistics and machine learning) Yale Cornell North Carolina State Michigan - Ann Abor Ohio State Penn State Note: I'm currently working for a research institution, which is part of the national university in my country. I expect some more projects in this academic year, though I'm not sure if these result in publications. It's unlikely that these will come before the application deadlines anyways. The things that concern me most is the questionable 3rd LOR and the lack of published papers (only 1 for me). I've also heard that chances are much slimmer for international students.
  21. Hi, I am planning to apply to Statistics and Biostatistics PhD programs for Fall 2019. I'm an international student. I completed my undergraduate degree in Statistics and Math in a top 15 university. I'm currently doing a MS in Biostatistics at a top 15 university. I have a undergraduate major GPA of 3.5, I had some mental health issues that screwed up my life pretty badly during my junior and senior year, which caused a major decline in my grades in a few statistics and math classes. I've been continuously involved in one research project after another since summer of sophomore year. After I began my MS program, I tried a lot harder to put my life back on tracks, I also did my best to take graduate versions of the courses I did badly in college to try to make up for them. My graduate GPA is 3.85. As of now, I've had 4 research projects, one poster at a Statistics conference, and no publication, although I am working towards publication, so I may have one or two papers in submission by the time I apply. I'm also taking the GRE math subject test later this Fall. I'm still assembling my list of schools, but right now I have Columbia Stat, UPenn Stat, Harvard Biostat, CMU Stat, Yale Stat and Data Science, and JHU Biostat. I would appreciate any honest assessment of my profile, suggestions to programs that would suit me, and any suggestions to improve my application. Many thanks in advance!!!
  22. -Undergrad Institution: Asian University Major: Statistics GPA: 3.96/4.0 Type of Student: International Relevant Courses: Calculus1,2(A+,B+), Multivariate Calculus(A+), Introduction to Analysis1,2(A+,A+), Linear Algebra(A+), Complex Analysis(A+), Numerical Analysis(A+), Mathematical Statistics1,2(A,A+), Regression Analysis(A+), Probability(A+), Computer Programming(A+), DATA Mining(A+), JAVA(A+), Micro,Macro Economy(A+,A+), Econometric(A+), and other topics of Statistics(CDA, Multivariate Data Analysis, Sampling Method...)(A+) TOEFL:94(30/26/20/18) I will retake to get 100 with S23 W23 GRE: 150/170/3.0 (V/Q/AW) I concern whether my low verbal score would kill me... GRE Subject Mathematics: 670(53%) registered September test. aim to 70~80% Programs Applying: Statistics PhD Research Experience: -As an undergraduate research team leader, write two papers and give presentations, but not published (about 1 year) -Give three presentations at the school mathematics seminar. -Undergraduate Thesis Teaching Experience: -Elementary statistics TA for a semester -High school math teacher for 1 year (Are those experiences advantageous?) Recommendation Letters: -My research advisor. attended 4 courses and got all A+ -TA advisor. -Statistics Professor. attended 3 courses and got all A+ Computer Skills : R, SAS, Matlab, JAVA, C++ Applying to: Statistics PhD CMU NCSU UMN TAMU Perdue OSU Johns Hopkins Rice UT-Austin Northwestern GWU UMBC SMU ASU Thank you for reading my profile. I am not sure that I can get into one of those schools with funding. Any recommendation for other schools would be really appreciated.
  23. Hello, I am new to this website but hope someone will be able to help out. I'm looking to apply to masters programs in statistics in a couple years after some work experience and will be graduating next year. Undergrad institution: Mid tier, large public state school (top 75 in US News) Majors: Business Analytics, Mathematics Year: Senior, graduating in May 2019 GPA: 4.0/4.0 Programs Interested In: MS in Statistics Type of Student: Asian American Male Relevant Courses: Math - Multivariable Calculus, Introductory Linear Algebra, Theory of Probability, Linear Optimization, Differential Equations, Fourier Series + Boundary Value Problems (with some PDEs), Math Reasoning (proof writing). I placed out of Calc I and II by taking AP Calculus BC. Business Analytics - Risk Modeling, Statistical Methods (second semester statistics course), Data Management, Decision Analytics under Uncertainty, Operations Management Taking this year: Math - Linear Algebra, Real Analysis I, Theory of Statistics; Business Analytics - Time Series Modeling, Investment Modeling (both classes use R) GRE: Will take next year Recommendation Letters: Aiming for 3 letters from professors who I have taken several classes with and/or been a TA/grader for. Two are math professors and one is a business analytics professor. Academic Experience: TA for Operations Management (an optimization methods course for business students), Grader for Intro Linear Algebra Professional Experience: Data analysis intern at small tech company, data science intern at Fortune 100 company Coding Experience: R, SQL, Python Schools interested in: UCLA Texas A&M UNC NC State CMU Concerns: -Few proof intensive courses (will change next year with Linear Algebra and Real Analysis, but still might not be enough) -Math is not my first major. I added it recently after liking the other classes I've taken. -Business Analytics major might be hard to explain. I have taken various classes (listed above) heavily using probability, statistics, and optimization within the business school, though. I would really appreciate any comments/advice on my profile and how competitive I would be for the schools I listed. Thank you in advance.
  24. 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!
  25. 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

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