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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)
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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
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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
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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.
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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
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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
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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
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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!
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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
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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
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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
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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
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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
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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
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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
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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,
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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
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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
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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
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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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Hi all, I’m getting really anxious as application season comes and new semester starts. I don’t have a very strong statistics undergraduate background so if someone could please evaluate my profile it would be much appreciated! Type of student: International Asian Female Undergraduate Institution: large public university (US news top 30) Undergraduate Majors: CS + Psychology, minor in statistics Current GPA: 3.99 GRE: 170Q + 167V + 5.0AW Relevant Courses: calc 3, intro probability, linear algebra, discrete math, psyc statistics, data structure, algorithm, bioinfo
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(Please consider scrolling to the bottom for some of my concerns. I suffer from anxiety and I know I'm needlessly stressed, but any pointers are immensely helpful.) Student Type: International Asian (Brown) Female Undergrad: Small university known in academic circles Major: Computer Science (might complete my math minor next sem) GPA: 3.91/4.0 (Major GPA 3.94/4) Relevant Courses: Calc 1, Multivariable Calculus (2&3 combined), Linear Algebra, Probability & Stats, Intro to ML, Advanced ML, independent study (somewhat of a research project, basically assisting a
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Undergrad Institution: Top 20 Public US School Major(s): Statistics Minor(s): Math GPA: 3.61 Type of Student: Hispanic Domestic Male, in-state Georgia GRE General Test: Q: 160 V: 159 W: Unknown (expecting a 4.5) Applying to: Statistics Masters Research Experience: 1-year research study in time series and forecasting Work Experience: Math/Stats Tutor, Technical Consultant for company providing business intelligence solutions for gas and electric utility companies LOR: One from research advisor, one from department head, one from either advanced mat
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Hi, everyone. I'm applying for statistics PhD programs for 2021 fall, and would greatly appreciate any advice! Research Interests (currently a little broad): - Methology and applications on social science data; especially economical and political data - Financial mathematics (from a stats related view; volatility and uncertainty) Undergraduate Institution: Best stats program in Korea Major: Statistics + Mathematics (A minor in Financial Economics) GPA: 4.01/4.3 (converted to approximately 3.85/4) Type of Student: International Asian Male Relevan