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Found 22 results

  1. Country - India Undergrad Institution: Not a top one (Average in India) (3 Year Degree) Major: Statistics CGPA : 9.14/10 Master’s Institution: 2nd best in India Major: Statistics CGPA/CPI : 10/10 (First Year) GRE: Haven’t taken yet Coursework until now ( Courses in bold are done in Master’s ) Statistics- Bayesian Modelling and Data Analysis (10), Regression Analysis(10), Analysis of Variance(10), Statistical Inference (10) , Probability Theory (10) ,Econometrics(10), Time Series Analysis(9), Linear Models(9), Stochastic Process & Queuing Theory(10) ,Sur
  2. 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!
  3. Hi! I am planning on applying to various Master’s in Statistics programs for Fall 2021, but I am somewhat uncertain of my chances of being accepted into these programs. Type of Student: Domestic White Male Undergrad Institution: Regional university that is top 10 in its region Major: Applied Mathematics and Statistics GPA: ~3.2 Overall GPA, ~3.6 GPA each in upper division coursework and last 60 semester credits of coursework, ~3.7 Major GPA Courses in Major (In order from freshman to senior year): Calc II (B+), Statistics I (B+), Calc III (B), Actuarial Statistics I (B)
  4. 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
  5. Hey everyone, I've decided to apply to master's programs in statistics/data science this fall. I'm looking for some feedback on my current school list, as I'm not quite sure how to gauge my chances at some of the schools. Here's my profile: Undergrad Institution: UC Berkeley Major: Statistics GPA: 3.74 Type of Student: Domestic White Male GRE General Test: Q: 166 (87th percentile), V: 166 (97th), W: 5.0 (92nd) Programs Applying: Master's Statistics (maybe some data science programs as well) Research Experience: I had a negative research experience with a pro
  6. Hi, I am currently struggling with the schools I should be applying to with my scores and profile. I am also looking at scholarships/funding opportunities, both need and merit based: Undergrad Major: BSc. Maths (Honours) with minor in Economics GPA: 4.0 (9.0/10.0) Type of Student: International female GRE General Test: 170Q, 158V, 5.0AWA Programs Applying: MS in Data Science/ Stats Professional Experience: Currently working as a Data Analyst for a media marketing global firm, this entails working with and for Google to design, implement and analyze measurem
  7. Undergraduate Institution:Top 3 in math/stat in India Program:Bachelor of Science Major:Math Percentage:74%(Major)(Known for grade deflation) Type :International Asian Male Math/Stat courses: Analysis 1(100),2(71),3(75),Probability 1,2,Algebra 1,2 ,linear algebra ,topology,optimization,differential geometry,differential equation,complex analysis,stat 1,2,3 Masters Institution:Same above Major:Math Percentage:73.6%(At time of application) Math courses:Measure theory,several variable calculus,algebraic topology,functional analysis... GRE(general)
  8. 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
  9. Type of Student: International south asian Undergrad and grad Institution: Top public university in Bangladesh Major: Applied Statistics GPA: 3.97 , class topper (BSc) GPA: 4.00 , class topper (MSc) GRE General Test: 152 V/ 163 Q/ 4.0 AWA IELTS: 8.0 overall Programs Applying: Statistics/ Biostatistics PhD Research Experience: 1. One project on structural equation modeling with application in econometrics ( published) 2. Thesis on bias reduction with penalized likelihood approach for small or rare event data in AFT models (under review)
  10. Undergrad Institution: Ivy Major: Math + Joint masters in Statistics GPA: 3.85 Undergrad, 3.8 grad Type of Student: Domestic Asian Female GRE General Test: Have not taken yet Programs Applying: Statistics PhD or Math PhD Research Experience: One year with an assistant professor in Biostatistics studying evolutionary processes, One year with a full professor in Biostatistics. 4 months in a government lab of applied research with computer vision. No papers. Letters of Recommendation: The two professors that I've done research which should be strong. Also one
  11. 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
  12. 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,
  13. 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
  14. 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
  15. 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
  16. Hi, I hope everyone is doing well and staying safe! I plan to apply to graduate statistics programs soon. I'm primarily interested in masters programs, as I don’t feel competitive/competent enough for a PhD. I would love if someone could help me understand where I stand and if my feeling is correct. I also am very nervous about the kinds of schools that are a viable, given my background. I‘d greatly appreciate any advice! Type of student: Rising 4th year domestic mixed male Undergraduate Institution: Large public, no grade inflation (USN top 20 statistics department) Und
  17. I'm about to start my junior year and would like to gain some insight into how I can be a more competitive applicant for statistics and biostatistics PhD programs during my final two years of college. I plan on applying for Fall 2022 but am considering taking a gap year to gain more research experience. My profile: Undergrad: Top 150 large state school Major: Mathematics GPA: 3.96 GRE: aiming for 167 for quant and 162 for verbal Type of Student: Domestic Asian Female (US) Math Classes: Calc I (A+), Calc II (A), Cal
  18. About me: White male US citizen, underrepresented minority affiliation Undergrad: Top 3 uni, BS Math, ~3.9. One summer of statistical computing research and another in an industry research lab. Linear algebra (Axler), calculus/ODEs, honors algebra+analysis, optimization, number theory, graph theory, full CS core + a good amount of CS theory. A-somethings everywhere but a B in analysis :'^( Masters: Top 3 program, MS Stats, ~3.95 Regression theory, data mining, sampling, PhD probability, statistical learning, stochastics, RL, bit of biostats. GRE, Recs: N/A (yet) I
  19. Student Type: Domestic Asian Male Undergrad + Masters: Top 3 University with (a lot of) Grade Inflation Major: Mathematics (Masters in Statistics) GPA: 3.85 (3.93 Masters) Relevant Courses: Math: Linear Algebra, Multivariable Calculus, Ordinary Differential Equations, Applied Linear Algebra , Complex Analysis, Analysis I , Groups and Rings, Galois Theory, Graduate Analysis I, Analysis on Manifolds, Graduate Probability I, Functional Analysis, Analysis II (measure theory) Stats: Mathematical Statistics, Stochastic Processes I and II, Regression Models and ANOVA,
  20. Hi all, I am considering applying to statistics, IEOR, and biostat PhD programs. My interests are more in the methodological side of statistics, so OR and biostat departments may be more appealing to me (leaning towards biostat), but I'm not opposed to more theoretical stats. That said, I wanted to have more insight on what should be my reach, target, and safeties for PhD applications. I would also like to point out some problems in my transcript, and see what you guys may think about it. A bit about my profile: Undergrad: Ivy League (not HYP) Major: BA in Economics (Major GPA ~
  21. My goal was to apply to Stats and CS departments and emphasize my strong desire to collaborate interdisciplinary on applying statistics/ML to problems in the physical and life sciences. I really loved that kind of work over the years of undergrad research and even now as I work post-grad on research on biomedical imagery. I graduated in 2020 and right now am in a gap year doing research with my old school. Student Type: Domestic Asian Male Undergrad: Top 30 University (USNews National Rankings) Major: Physical Chemistry and Statistical/Data Science double major GPA: 3.55/4.
  22. Hi, all! New member here. I'm currently in the first year of an interdisciplinary masters program focused on trauma and genocide. I'm building a list of potential doctoral programs to apply to in English (bachelors is in psychology with a minor + significant work in English). My research interests are trauma and memory studies, critical race theory, and children's literature. More specifically, I'm interested in representations of the violent/traumatic past and cultural memory within children's historical fiction. So far, Sara Schwebel at the University of South Carolina is the researcher
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