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  1. Undergrad Institution: Top 3 South Korean University Major: Mathematics and Computer Science (Double) GPA: 3.97/4.0 Math GPA: 4.0/4.0 Type of Student: International Asian male Relevant Courses (A+ unless stated otherwise): Undergraduate level: Calculus I,II, Differential Equations, Linear Algebra, Analysis I, II (A), Modern Algebra I (A), II, Complex Analysis, Topology, Numerical Analysis, Discrete Mathematics, Graph Theory (A), Game Theory, Probability and Statistics, Probability Theory, Mathematical Statistics, Data Structures, Algorithms, Programming Languages,
  2. Hi People!! Undergrad Institution(s): 1. Top 35 private US university; 2. Top 25 public US university with a stats dept. with good reputations. (Transferred after freshman yr) Major(s): Statistics, Mathematics Minor(s): None GPA: 4.00 in major, 3.98 overall Type of Student: International Asian Male GRE General Test: V160, Q170, AW4.5 GRE Subject: Have taken all relevant courses (for the math subject test), not sure if I should take the exam Coursework (completed): Institution 1: Math: Calc. III (A), Probability (A), Discrete Mathematics (A) Stats: Int
  3. Undergrad Institution: US public university Major(s): Biology and Statistics Minor(s): None GPA: 3.16 Grad/Master's Institution: US private university Program: MPH Biostatistics GPA: 3.5 Type of Student: International Asian Female GRE General Test: Have not taken yet (planning to take late August) GRE Math Subject Test: NA Research Experience: · No published paper. · Research as part of master’s program (no thesis but presentation to faculty members and submitted a written report) · Research experienc
  4. Hello! I'm senior undergrad student in Asia. I will start Master program in my university, and then I will apply for Ph.d program in USA (maybe in 2024 fall). But I want to check my profile whether I took sufficient math courses and I want to get advise about school suggestion. Undergrad Institution: QS 80~90 Asian University GPA: 3.98/4.00 (total, 4.44/4.5), 4.00/4.00 (major 4.48/4.5) Type of Student: International GRE General Test: Q: 154 V: 168 W: 4 TOEFL: 28/26/23/26 (Total 105) Programs Applying: Statistics Ph.d Research E
  5. Student Type: Domestic Asian Male Undergrad: Top 5 U.S Public School Major: Statistics GPA: 3.63 (Major GPA is 3.8ish) Math & stat classes: Linear Algebra (A), CALC III (A-), Differential Equations (A), Data Science (A), Optimization (A), Probability (A), Advanced Linear Models (this fall), Machine Learning (this fall), Stochastic Modeling (this fall). Intro to Programming (C+) I goofed in my Intro to Programming course (took it Freshman year), but I've done well in all my higher level stats courses that have used R so hopefully that makes up for it!
  6. Hello everyone, I would like to apply math PhD fro fall 2022. I don't have a traditional background, therefore I would like someone evaluate my profile. Since there's a lot of uncertainty in 2021, much of the information here have their uncertainty as well. However I will update the information when the things are certain. Also any advice is appreciated. Undergraduate institution: East asian university in top 20 of qs ranking Major: Physics GPA: 3.25/4.0(overall) Math course: Calculus(A-), engineer maths(A), multivaraible calculus(B+/A-), Linear algebra (A-), topology(B)
  7. Hey all, First and foremost thank you for reading my profile evaluation. I'd love to hear your feedback on my stats, the programs I've selected, my chances of admission, and if there are any programs that you'd suggest I consider given my profile. I am a student with a non-STEM background and I have the bare minimum prerequisite courses to apply to these programs (with good grades thankfully). I am hoping that through my GRE score and LOR/SOP (which I'm still writing) I'll be able to catch the attention of at least one admissions committee, and secure a spot in one of these programs.
  8. Hi, all! I'm new here 😀 I'm graduating from Russian top master's program this year, and wish to apply for Ph.D. in Computer science in US for fall 2021. I am interested in Computer vision. I am really looking for help from kind people of GradCafe with my profile evaluation. Particularly, I am worried about my low GPA at bachelor. Bachelor institution: top-ranked Russian university. GPA: 3.0/4.0 Major: Data Analysis Master institution: other top-ranked Russian university. GPA 3.92/4.0 Major: Computer Science IELTS - 7.0 Type of S
  9. Hey, I've been browsing this forum trying to get an idea of where I stand. Eventually I realized I should just post my own thread. Thanks in advance for any help. Undergraduate Institution: large state flagship ranked around 150 Major: Finance, Math Minor: CS, History GPA: 4.0 Type of Student: Domestic White Male Graduate Institution: Same university (dual degree program) Masters in Applied Statistics GPA: 4.0
  10. Undergrad Institution: Big state school (CSU) Major: Economics Minor: Math GPA: 3.835 (Magna Cum Laude, 4.0 if looking at just last 60 units) Type of Student: Domestic White Male GRE General Test: Taking it in a few weeks, have done very well on practice tests so I believe I can get 165+ Q and 160+ V at the very least - AWA probably 4.0+. Also willing to retake it if necessary. Programs Applying: Statistics PhD (but not necessarily opposed to biostatistics) Research Experience: Nothing unless you count an econometrics capstone project. Only decided to
  11. Heyo yall, I'm currently applying to some PhD programs in stats and I'm trying to gauge how competitive I will be. Undergraduate Institution: R1 state school, top 100ish US News, not particularly well-known Major: Mathematics and Economics Minor: Data Science GPA: 4.00 Type of Student: Domestic white male (I am not straight tho I have absolutely no idea if I should include this on my app) Research Interest: Econometrics, applied statistics in social sciences, ML GRE Score: 168Q/160V/4.5, no math subject test cause it was canceled Math classes: Calc III (A), Basic Concepts in Ma
  12. Student Type: Senior Student. Undergrad: US News top 40 private university Major: Economics, Mathematics, International Studies GPA: 3.96 Math Courses: Cal I, II, III; Differential Equations (A), Probability (A), Stats Theory (A), Linear Algebra (A), Introduction to Proof (A) Also took Econometrics (A). GRE: V 164 Q 169 W 4.5 Letters of Recommendation: two academic recommendation letters from my econometrics professors. One that taught me econometrics and one that I TA-ed for. One professional recommendation letter may come from my previous supervisor in th
  13. Background - College: B.A. Economics GPA: 2.7 A huge part of the low GPA is because of depression in college. I began isolating myself a lot and because of the stigma of mental health in my community I was reluctant to seek help. When I did I was too scared to go back after 1 appointment. I have since taken several courses post under grad (which I aced ) and currently taking graduate level courses and sought therapy. I have learned so much about myself and how to balance work, school and my social relationships. Work Experience: Total of about 3.5 years in Accounting
  14. Hi everyone! I just wanted to post my stats and figure how I stack up! Student Classification: Domestic White LGBT Male Undergrad: R1 Large state school, US News top 150 Major: Statistics Minors: Math, Economics GPA: 4.00 Relevant Coursework: (All A, no A+ system) Math Coursework: Calc I-III, Diff Eq, Linear Alg, Mathematical Modeling(has some analysis) Statistics Coursework: Stat Methods I-III, Stat Theory/Probability I-II, Statistical Computing, (the following are 4000 level electives): Biostat methods, Sampling Methods, Categorical Data Anal
  15. Undergrad institution: NYU Major: Honors Mathematics GPA: ~3.7 Domestic/International: domestic. Research Interests: Probabilistic time series analysis, bayesian stats, reinforcement learning, deep learning. Humanitarian slant. Undergrad Math Courses: Honors cal III (B+), honors LinAl (A-), Indep Study in classical diffgeo (A), ODEs (A-), honors analysis I (A-), honors algebra I (A-), independent study in representation theory (A), honors analysis II (functional analysis and measure theory, A), honors algebra II (B+) independent study in wavelet analysis (A). Grad
  16. Hello everyone, I am planning to apply for PhD programs in Statistics and/or Biostatistics. I am seeking advice about the programs I should target. I would like advice based on my background below. Thank you a lot for your time! A quick summary about me - I have undergraduate degree in environmental science and master’s degree in applied stat. I graduated in 2019 and have one-year work experience. I attach my questions at the end. Type of Student: International, Asian Undergraduate Institution: Asian, top-50 by US news ranking Majors: Environmental Science
  17. Undergrad Institution: University of Washington Type of Student: asian male, International (undergrad in US) Major: Data Science and Statistics Minor: Computational Finance GPA: 3.8 (Major is 3.7) GRE General Test: Q: 166, V: 157, writing 4.5 Research: Some research on COVID-19, no publication. Working on honors thesis. Teaching: TAing an undergrad course Experience: Statistics related volunteering, data science blogger Awards: 1st place in a Datathon (~60 participants). A programming certification by Google Letters of Recommendation: 1 from resea
  18. Type of Student: International (Canadian) Undergrad Institution: Top 5 Canadian University Majors: Honours program in Comp Sci. + Stats Minor: Physics GPA: 3.75 GRE: 160V/164Q/4.5 Research Experience: 3 REU's, two of which resulted in honours theses (one CS thesis and one Stats thesis). Although I have no publications, one of the REUs resulted in a paper that is currently being worked on and will probably be submitted post-application, if that matters. Also, I wrote a "project paper" that uses tools from stochastic PDE's, analysis, and topology to prove the
  19. Undergrad Institution:- A State University in India ( Country Rank:- 151-200) Program:- Bachelor of Science (Hons.) [ 3 year ] Major:- Statistics Minor:- Mathematics, Economics GPA:- 10/10 (Major), 9.6/10(Overall) [ Best Science Undergrad Award ] Type of Student:- International Asian Male Math & Stat Courses:- Classical Algebra+Trigonometry(9/10), Coordinate Geometry+Vectors(9/10), Calculus(10/10), Mathematical Analysis (10/10), Diff. Equations (9/10), Abstract Algebra(10/10), Linear Algebra+Mechanics(9/10), Numerical Analysis (10/10), Probability-I, II, III,
  20. Hi everyone, I finished undergrad in Spring 2018, have been working in consulting for 2 years and am looking to enroll in either a masters or PhD program in Biostatistics. I would prefer the PhD route upfront in the interest of funding. I've been preparing for the last year or so, and I would appreciate some more guidance on setting expectations and moving forward. My math courses are a little light, but I did have exposure to some statistics applications in finance/econ courses. I studied chemistry my first two years of undergrad and have some background in medicine / public health from
  21. Forgot to tag my previous post, and couldn't figure out how to add the tags, so I'm reposting. Undergrad Institution: Smaller school (St. Louis University) Major: Math Minor: CS GPA: 3.97 (Summa Cum Laude) Type of Student: Domestic White Male GRE General Test: Have not taken yet, though I expect high scores. Programs Applying: Statistics PhD or Math PhD Research Experience: Some in Number Theory. Was working on a paper, but COVID interfered big time. I'm working on it again now. Hopefully I can finish soon. Awards/Honors/Recognitions: Received our school
  22. Hey everyone, I just graduated college, and due to COVID, my plans have changed. Originally, I was going to work in a sports analytics role for a professional baseball team this summer/winter with the chance of being hired full-time if I performed well. Then, after a year or two of work, I was going to apply to grad school. But, my job got canceled, and so now I've been home coaching pickleball (no lie, it's been a fun experience) and have decided to apply to grad school this winter. Thanks for any help you can offer! Undergrad Institution: UC Berkeley Major: Statistics GPA: 3.743
  23. I graduated this June, currently working as a software developer at a top 5 bank. I'm interested in doing research in bayesian statistics / nonparametric statistics. Something bad happened in my first year so I got only ~3.8 in first two years of uni. Undergrad Institution: Canada top 3 Major(s): Statistics Minor(s): Computer Science GPA: 3.89(last two years 3.97) Type of Student: Asian Female GRE General Test: Q:165 V: 161 W: 4.0 Applying to: Statistics PhD Research Experience: One year at a relatively large hospital, worked mainly wi
  24. Hi, I'm planning to apply for a PhD in Statistics this year for 2021 fall, I would really appreciate any advice. Research Interests : Haven't really decided yet, broadly over statistical learning and statistical theory Undergraduate Institution: Best known in Korea Major: Statistics GPA: Overall : 3.9/4.3 (3.79/4.0 converting A+ to 4.0 for 4.0 scale), Major: 4.14/4.3 (3.97/4.0) (Excluding grad-level courses) Type of Student: International Asian Male Relevant Classes: Math Courses - Differential and Integral Calculus 1,2 (A0/A+) -
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