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Found 51 results

  1. Hi everyone, I’m having a hard time getting letter of references. I’d like to know if it’s possible I can use a field evaluation (undergrad internship evaluation) substituted for a letter of recommendation? Would the graduate admissions still consider this as a letter of references? Thanks.
  2. Hi everyone, I’m having a hard time getting letter of references. I’d like to know if it’s possible I can use a field evaluation (undergrad internship evaluation) substituted for a letter of recommendation? Would the graduate admissions still consider this as a letter of references? Thanks.
  3. Hello everyone, I have been having trouble lately matching my profile with potential MS ECE programs and would greatly appreciate it if anyone could help me with shortlisting potential MS programs to apply to. I aim to apply mostly to universities in Canada and Europe, basically anywhere but the US (as I won't be able to take the GRE in time). I am also mainly looking for research/thesis based degrees, and preferably RA/TA funded degrees. My profile: Undergrad: B.Sc. ECE from an unknown institution internationally, but known regionally and undoubtedly one of the best nationally, Score: 83%. Research Interest: Electromagnetics and optics. IELTS: 9. Publications: 1 Accepted international conference paper in my field of interest. Research Experience: A few undergrad RA experiences/internships (summer internships during undergrad). I have been working as an RA for the last few months, potentially a couple more publications are in the works. Which Canadian/European/Australian/Asian universities can I target with this profile for example for a funded research based MSc. degree? I don't want to waste time and money applying to prestigious institutions where I have no chance, so I would like to know where my 'level' is so to speak. I am an EU citizen if that makes any difference. Would really appreciate any feedback, please let me know if any extra info is needed. TIA .
  4. Undergrad Institution: Berkeley Major(s): Math + Computer Science GPA: 3.89 Type of Student: International Asian Male GRE Revised General Test: 170 + 153 + 4.0 Program Applying: Computational Math Phd Relevant Undergrad Courses & Grades: Intro to Analysis (A+), Numerical Analysis (A+), Linear Algebra (A+), Complex Analysis (A-), Abstract Algebra (A), Combinatorics (A+), some lower division courses, and some computer science courses, A+ or A. Graduate Courses & Grades: Numerical solution to DE A&B (A+, A), Real and functional analysis (A, A-), Numerical Linear algebra (A) Research Experience: Undergraduate research for 2 years, using statistics and math modelling, a paper submitted. Just started my "serious" research about preconditioners in compact DG method with implicit Runge-Kutta, exploring AMG now. But it is research, so no specific direction, just mess around, trying new things and see how they work. No result, but enjoy it very much. (It is really fun! Don't know what to expect every week.) Awards/Honors/Recognitions: None. Probably some GPA related things, but not important. Pertinent Activities or Jobs: Tutor in CC. Grader, lab assistant. Any Miscellaneous Points that Might Help: 5 graduate classes related to the thing I am interested in: numerical PDE AB, numerical linear algebra, Real & functional analysis. DRP for two semesters, on spectral method, spectral element method, multigrid. Self-studied DG and Evans' PDE, only some notes and codes, no fancy papers. Recommendation letters should be okay. Any Other Info That Shows Up On Your App and Might Matter: Enjoy numerical PDE (specifically DG) very much! I started my undergraduate as a computer science major, and I switched to math pretty late. Maybe my programming background could be useful? Interested in computer graphics at first (physical simulation specifically), but could not understand PDE, so crazy studying math afterwards. Applying to Where: Dream School (I guess not necessarily the hardest): Rice - CAAM Reach: Brown - Applied math Cornell - CAM UT Austin - ICES Match/Safe: U Washington - Applied math Northwestern - engineering sciences and applied mathematics Rensselaer - Mathematics Any advice will be very helpful for me~ Thank you very much!!! ?
  5. Undergrad Institution: Liberal Arts University (ranked in the top 10 in the US) Major(s): Biology and Psychology Institution since undergrad: Local public university (I have been taking classes there because I was missing a few pre-requisites) GPA (undergrad): 3.355/4.0 GPA (*since undergrad*): 4.0/4.0 Type of Student: Domestic Female GRE General Test: Q: 166 V: 168 W: 4.0 Programs Applying: MS Biostatistics Research Experience: Volunteered/worked part time for 2.5 out of 4 years in undergrad. Worked in 3 different labs, all biology-related. 1 poster presentation at a national conference. Pertinent Activities or Jobs: Since graduating have been working at a major research institution as research coordinator. 1 poster presentation and currently working on a manuscript that involved some use of statistics and SAS (might not be submitted to review by the time applications are in). Letters of Recommendation: Immediate supervisor (strong), collaborator on the manuscript (strong), professor for a biology class (decent) Relevant Coursework: Taken at undergrad institution. Calculus 1: B- Calculus 2: B- Intro to Quantitative Modeling in Biology: A- Statistical Methods and Applications: B+ Psychological Research Methods: B Taken since graduating: Calculus 3: A Intro to Linear Algebra: A Intro to Probability Theory: Still taking it, likely A Applying to Biostatistics Masters Programs (Subject to adding and subtracting *advice welcome*): Berkely Columbia University of Washington University of Michigan UCLA Harvard Boston University Rutgers University of Minnesota University of Pittsburgh Brown University Johns Hopkins
  6. 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?
  7. 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!
  8. 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!
  9. Hi all, I am looking to do Ph.D. in Two-phase flows (Mechanical Engg.).I would really appreciate any feedback regarding my profile and how I can improve my choices. Major concerns: Based on my interactions with the professors and some of my seniors, I think my profile is decent for Ph.D. application (Please correct me if wrong, all suggestions are welcome) However, I am concerned about my CGPA, GRE (Verbal and AWA marks) and especially TOEFL (especially speaking) I have gone through the universities mentioned in my list (feel free to suggest changes in it) but I have not really found a clear-cut demarcation for these scores. What do you think? Aim: Get a fully-funded Ph.D. admit. International/Male My CV is attached with this thread. Please go through it, if required. A brief outline is: Current University: Indian Institute of Technology Roorkee Major: Thermal Engineering CGPA: 8.98/10 (not converted) GRE: Q/V/A: 167/153/4 Toefl: Waiting for results, expecting around 20 in speaking Publications: 2 published, 2 under review and 2 in preparation (Journal) & 16 peer-reviewed conference papers/presentations. All journals are medium to top tier in my field (current RG score with 2 publications 4.65) Tentative schools I am applying to: (in the order of priority) 1. MIT (have not contacted anyone yet) 2. Princeton (positive reply from a professor) 3. University of Wisconsin Madison (okay reply from a professor) 4. Brown University (okay reply from a professor) 5. Imperial College London 6. Cornell 7. John Hopkins 8. University of Maryland I am open to any comments/suggestions/critiques about the list or my profile. More details at: https://sites.google.com/view/vatsalsanjay Vatsal_CV.pdf
  10. Hi, everybody. To be honest, I come from a rural community and don´t have the money to apply to several graduate programs. That is why I want help so I can narrow my choices and avoid spending money on application fees for universities I don´t even have a decent chance to get accepted at (I don´t know how my profile compares to average international students). Here is my profile: Major: Two at UNAM in México. One in Physics and other in Mathematics GPA: both 9.5/10 Research experience: Several posters, seminar talks and worked as associated student at various institutes TOEFL: 113 GRE: 163 V / 169 Q / 4.0 AWA Awards: Some summer schools, scholarships and finalist at math competitions I would really appreciate if anyone can have a look at my profile and give me some advice. Thank you very much in advance.
  11. [Disclaimer: This is somewhat of a repost but I have GRE scores now and a much better idea of the schools to which I would like to apply. I will greatly shorten this post, but my original one can found on my profile (it's the only other post I've made)] My Questions: I'm not sure how realistic these choices are for me, but I'm very interested in the biostatistics programs of Harvard, JHU, UNC - Chapel Hill, and UPenn. For statistics programs, Cornell and Rutgers looked interesting to me. I'm comfortable applying to mostly higher end/reach schools as I will be applying to UVA. I am almost certain they will accept me, and I very much like the department and people here. My three biggest questions are: (1) should I retake the GRE? I am very confident that I can do better, but I don't know if my scores are good enough already, (2) how realistic are the schools I listed, and (3) are there any other schools I should look into (*on the East Coast*) 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: Q: 167, V: 160, AW: 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. 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). Research Interests: Broadly speaking, my interests are in applications of methods or techniques across disciplines. 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: (1) Between third and sixth author [minor to moderate impact bio-related journal]. (2) Third author on a review paper [minor impact bio-related journal]. (3) First co-author [moderate to high impact bio/bioinformatics journal] Most likely submitted in December: Between third and sixth author on a paper submitted to Image and Vision Computing 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. 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. Strong letter from a statistics faculty member. 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). All three know me well
  12. Undergraduate Institution: University of Waterloo Major//Minor: Statistics and Actuarial Science Double Major Cumulative GPA: 81% (A-?) Major GPA: Statistics 84% (A-?) and Actuarial Science 86% (A?) Student Type: International South Asian Male GRE General Test: Not Required Programming Experience: R (can run caret but no Github), SQL, Python (only for basic codes/packages) Research Experience: None Work Experience: 6 actuarial co-op work terms (4 months each). 2 years of full-time actuarial work experience. Professional Designation: ASA (Associate of Society of Actuaries from passing 5 actuarial exams)... looks like it's not gonna help but hey why not. Research Interests: Two different topics in my mind: 1. Using statistical classification algorithms to underwrite insurance customers. 2. Using statistical classification algorithms to detect benign skin pigments from the cancerous one. Publications: None Teaching Experience: None Letters of Recommendation: I'm asking my professors that I received high grades (A+ or A). However, I did not have a lot of conversations with them due to having a mindset of going to the industry right after graduation. Schools: My top choices would be: 1. University of Toronto (super hard to get into as international student, I heard it's a war zone of competition especially for machine learning field). 2. University of Waterloo 3. University of British Columbia, Simon Fraser University and the University of Victoria Thanks for reading!
  13. 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.
  14. vaibhavpandey

    Evaluation studies PhD programs

    Hi fellow aspirants, I tried to find a thread or directory pertaining to universities offering evaluation studies program and couldn't find one. I am in early stage of application this year yet I wonder which are better universities in this area. I have found few and it seemed most of the universities focus either on education or Psych evaluation. What I am more interested in is, generic evaluation studies program which is focused more towards training in quantitative and qualitative research methods and universal applicability of such methods (such as in program evaluation, social impact evaluation etc). All the best!!
  15. 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.
  16. -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.
  17. Undergrad Institution: UCLA Major: Applied Math Minor: Statistics GPA: 3.793 Type of Student: domestic white male Relevant Courses: Linear Algebra (A), Calc. II (A), Multivariable Calc. 1/2 (A-, A, 2 courses at my school), Numerical Analysis I/II(A, A), Analysis (A), Probability (A-), Nonlinear Diff. Eqn (A-), ODEs (A-), C++ programming I/II/III (A, A, A-), Math Modelling (B-, first Upper Div Math, got rocked, only B in a math class, though), Python (A) Currently taking: Mathematical Statistics, Statistical Programming in R Taking Fall Quarter: Complex Analysis, Monte Carlo Methods, Algorithms, Statistical Linear Models GRE: Only have taken a single practice test thus far without studying, but this is what I got. Expecting/hoping to see 3-5 points of improvement in Q/V. Q: 165 V: 156 W: 4 Will be taking the Math GRE in September Programs Applying: Statistics PhD unless otherwise specified Research Experience: - One summer in a Physics/Biology lab, mainly student run and not very impressive (fun, though) - Math research course in fluid dynamics - Applied Math REU, same fluid dynamics lab/advisors, but a different project Teaching Experience: Curriculum director for a club that teaches science to low income middle schoolers. Recommendation Letters: 2 from math professors / research advisers from fluid dynamics lab (one was my programming professor, the other was the adviser for the REU project, not the adviser of the whole REU program), other from a Stats professor I have taken classes with. I think they will be decent, not sure if they will be stellar. Coding Experience: C++, R, Python, and Matlab Research Interests: I am interested in researching Machine Learning, Data Science, etc. Not 100 percent sure, but definitely computational and data intensive. Not sure if I want to go into industry research, but I’d like to keep that option open. Stanford Berkeley UWashington CMU - Stats/ML joint program UChicago Cornell Harvard UPenn Duke UNC U Michigan UT Austin Texas A&M UCLA Yale Johns Hopkins Maybe some Canadian schools CalTech - Computational and Mathematical Sciences PhD G Tech - ML PhD UCSD - ECE with emphasis on ML and Data Science NYU - Data Science PhD Concerns: Finding good Stats programs with research in ML, DS, DL. Most web searches bring up CS departments, which isn’t particularly helpful. Not sure what are reasonable schools to apply for. Dreams/Reaches are pretty obvious, but choices are less obvious for more mid/low tier. Should I apply to programs listed as specifically Machine Learning PhDs? Do other programs/industry respect these programs? What about Data Science programs? What schools should I add, which should I take away? Any other recommendations?
  18. 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.
  19. 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!
  20. I'm an international student looking for advice on which schools to apply. I would really appreciate your insight, recommendations and criticism. Bs Degrees: Mathematics, Economics, Statistics. GPA: 3.28 Msc Degree: Mathematics. GPA: 3.39 Type of student: Latin male. Program desired: PhD in Statistics Research Experience: coauthor of one published chapter for Springer's Contributions to Statistics. Teaching: 5+ years as an adjunct teacher. Teaching calculus and statistics for engineering and social sciences. Programming: Proficient at R, MATLAB. Basic knowledge of Python, STATA, SPSS and Julia. GRE: Verbal 165 (96th percentile), Quantitative 166 (91th percentil), Writing 4.0 (60th percentile) GRE Subject Math: 840 (85th percentile). Planning on retaking it. TOEFL: 112/120. Course Work: calculus 1-3, linear algebra 1-2, abstract algebra, real analysis, measure theory, stochastic processes, stochastic analysis (grad level), probability, differential equations (ordinary and partials), data mining, econometrics at undergrad and grad level, linear regression, sampling theory, spatial analysis, design of experiments, microeconomics, macroeconomics, multivariate statistics at undergrand and grad level, statistical inference, bayesian statistics, time series, toplogy. Low grades though, average GPA is 3.3. Research interests: I would like to do research on statistics on manifolds. Or, more generally, applying geometry/topology to statistics. I'm open to many other problems like functional data analysis, time series, regression, etc, etc etc. Applying to: Pittsburgh University. Arizona State University. University of Illinois. University of Texas. UC Davis. Duke and Stanford. Clearly, I'm having trouble assessing my real options here. So that's why I wanted to kindly ask you to point me in the right direction for "match" and "safety" schools. Thanks again!
  21. Going into my 3rd year and I've been thinking about graduating a year early (i.e., in 2019). Should I even consider graduating early and applying to PhD programs with the following profile? Undergrad Institution: US Top-5 in Statistics Major: Statistics GPA: 3.95 Major GPA: 4.0 Type of Student: Asian Canadian Male Courses: Real Analysis (A), Probability Theory (A+), Statistics Theory (A+), Linear Algebra 1-2 (A+, A), Data Computing (A+), Discrete Math (A+), Calculus 1-3 (all A+), Data Science (A) Courses for Next Year: Real Analysis II, Stochastic Processes, Abstract Algebra, Machine Learning, Numerical Analysis, Linear Modelling GRE: Q: 169 V: 165 W: 5.5 Program Applying: Statistics PhD Research Experience: 1.5 years in psychology lab helping with database management and surveys (no publications). 1 semester in a independent reading project in pure math. Recommendation Letter: 1 from research advisor, 2 from professors/lecturers I've had. I don't expect any to be particularly strong. Coding Experience: R, Python Programs Considering: Michigan Wisconsin Toronto UCLA UC Irvine UT Austin Michigan State UC Santa Barabara I've done well with the courses I've taken so far, but I've only really completed the bare requirements and I'm not sure if I should even consider applying for 2019. If I were to apply for 2020, I'd have actual grades for the courses I'm planning on taking next year instead of just "In Progress," a second major (math), and likely stronger recommendation letters. Any thoughts, comments, or advice would be much appreciated!
  22. Hi guys, I'll be applying for a 2019 PhD program. I greatly appreciate your time and advice! Below is my profile: Undergrad: Smaller state school in PA Major: Mathematics Minor: Statistics, Actuarial Science GPA: 3.9 (Only 1 B from Abstract Algebra) Type of student: Domestic White Male Program desired: PhD in statistics Research Experience: 1 published paper, 2 large projects in sports analytics. I've presented them at IFORS and SAS Global Forum (Oral presentations, not poster). Both accepted for presentation at INFORMs 2018 annual meeting. 1st was done entirely in SAS, uses SQL and IML and simulates baseball games (Win/Lose accuracy about 70%). Second is about optimizing pitcher rotations with a fully functional front-end. Coded all in Python. Starting another project within a few weeks, probably about sports, using machine learning. Teaching: 1 semester as a TA in a stats class, 4 semesters working in math tutoring center. Other: 1 actuarial internship at large insurance company in actuarial/analytics role, passed first two exams (P and FM) Programming: Strong: Python, SAS, R, SQL, Latex Proficient: C++, VBA GRE: Haven't taken yet Course Work: Calc 1-3, Mathematical Statistics 1-3, Statistical Computing, Statistical Modeling (grad level), Data Mining (grad level), Abstract Algebra, Linear Algebra( this fall), Real Analysis (this fall), Deterministic Models of Operations Research, Stochastic Models of Operations Research Plan on applying to: Ohio State Michigan NC State NC State Chapel Hill Pitt Penn State CMU Stanford Iowa State (maybe) Duke Columbia Rochester Please criticize my schools, or add any you think. I've just started the list and know I need to add quite a few more. Let me know what you think! Thanks again.
  23. Hi everyone, just another potential applicant seeking a little advice. I welcome and appreciate any and all insight, recommendations, criticisms, questions, etc. Undergrad Institution: Large State school Major: Mathematics Minor: Chemistry GPA: 3.28 (Major 3.68) Grad Institution: Large State school Major: Statistics GPA: 4.0 (currently) GRE General Test: (might retake, was falling asleep during parts of test) V: 160 Q: 168 W: 3.5 Programs Applying: PhD in Statistics (maybe Biostat?) Research Experience: Not really any research per se, but a couple of projects: one with a professor of journalism working on media framing of Islam in US, kind of a statistical linguistics project (article was not published with work I did, apparently referee was an Islamophobe, who really knows), and one outside of school with an actuary working on some demographic analysis for his business. Letters of Recommendation: One from undergrad prof who supervised my projects, two from Grad program who are well-acquainted with my work/study habits. Relevant Course Work: Pre-dropout: (rarely attended classes) Calc 1 - 3 (B, A, B+), Linear Algebra I, II (B-, B+), Limits and Infinite Series (B+) Post-dropout: ODEs (B+), PDEs (A), Complex Analysis (A), Intro to Real Analysis (A), Real Analysis I (A-), Statistical Methods (A-), Mathematical Biology (A), Mathematical Statistics (A), Probability (A), Abstract Algebra I, II (A, B), Regression Analysis (A), Time Series Analysis (A), Statistical Computing (A) Grad Courses: Mathematical Statistics I, II (A’s), Theory of Linear Models (A), GIS and Spatial Analysis (A) Future Grad Courses: Real Analysis/Measure Theory, and a handful of other statistics courses Computing Skills: R, C++, ArcGIS, QGIS Teaching Experience: Taught a year of undergraduate mathematics, will teach applied statistics this year Applying to: Minnesota (Advisor attended) Wisconsin Colorado State (Two profs attended) Oregon State UCSC (looks like they do cool research here) UC Davis I know the math grades/GPA don’t look so great, but I was going through some medical/personal issues and feel I made quite a rebound after returning to school. The low LA grades I would hope are made up for in some of the more advanced math classes as well as my graduate coursework (I feel like I really got the chance to learn linear algebra properly when I took the Linear Models course). I decided to try a Master’s to see if I could handle Grad level coursework, and it seemed like it would dovetail nicely into PhD programs if I enjoyed the atmosphere. I am much more comfortable in theoretical statistics (hypothesis testing, confidence intervals, distribution theory), but am also interested in longitudinal data, as well as mixed models, so maybe throwing in a biostatistics program here or there might be wise. It’s hard to say at the moment, but I am just enjoying learning and exploring new material. I haven’t had much exposure to the Bayesian paradigm, but feel I would really enjoy getting to explore it in a spatial/temporal/ecological setting. This year I will participate in a consulting lab, so hopefully this will help more precisely define my research interests. Thanks!
  24. laforshey27

    Practicum Midterm

    Hey guys! So I just had my midterm evaluation where my school supervisor came to observe some of my sessions and then she and my site supervisor came up with a list of strengths and weaknesses. My skills during the session were all rated great but I thought some of the weaknesses were a little ridiculous. For example, one weakness was that I don't ask enough questions. I have explained that this is just who I am as a person and have always been that way. I have never been someone who asks many questions. I learn by observing and then actually doing it myself. When I do have questions though, I do not hesitate to ask. I have also been working in the field a little longer than my supervisor has since I worked as an SLA for 4 years before I started my practicum experience and she is a newer SLP. I feel as though that job really prepared me for this. Anyway, my supervisor told me that I am now required to ask at least one question per day pertaining to a previous session. I honestly rarely have questions about the sessions because I feel like I completely understand everything we are doing. It is early intervention so it is not too difficult. I am struggling with coming up with questions and don't want to look dumb or unprepared if I ask a question that I should know or ask a question that I do know just for the sake of asking a question. This is so ridiculous and something I do not need to waste time stressing over! I was hoping you guys could help come up with some questions for me. Any suggestions? Thanks!
  25. 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

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