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  1. I have been admitted to the statistics departments at both Harvard and Berkeley. I applied to 24 schools, so I've also been accepted to virtually all of the top 20 stats programs, excluding Stanford. My academic interests are pretty broad, but I'd like my research to be more theoretical and in the realm of probability or machine learning/deep learning, if possible. I'm also not sure if I will try to go into academia or into a research team at Google, Microsoft, Facebook, etc. I am mainly considering these two because Berkeley is so good at ML, but Harvar
  2. I am currently a senior DS at a FAANG company but my passion lies in academia. I have 2 publications, 3.5 GPA from large top 20 public school in Statistics, but my GRE general and subject test dates were cancelled last year due to COVID (I took them over 5 years ago and got 99% in GRE Quant, 85% in GRE Verbal, and 73% on math subject test). I applied to 12 top 30 ranked programs. Perhaps my concerns are premature but so far, I have only been admitted to one lower ranked program. The Berkeley faculty I interviewed with gave me the feedback that my coursework could be stronger (ie. Real An
  3. Undergrad Institution: Big State School Major(s): Industrial Engineering Minor(s): Mathematics GPA: 3.31 Industrial Engineering 2.88 in Mathematics (Freshman Calculus Sequence is really killing me here, chalk it up to youthful ignorance) Type of Student: Domestic Asian Male Courses Taken: Calculus I (B), Calculus II (C), Calculus III (B), Applied Linear Algebra and Differential Equations (A), Discrete Math (A), Probability (A), Statistics (A) , Operations Research I (A-), Operations Research II (A), Statistical Process Control (A), Discrete Event Simulation (B+), Eng
  4. Hello everyone! My name is Vic (they/them) and I’m attempting to find a statistics and methods workshop to keep myself busy. I understand YouTube has plenty of informative videos but I find that I learn better when I’m interacting with the lecturer and other students in the class. If you have any suggestions please let me know!
  5. Dear all, I am an international applicant (from India) to the PhD program in Statistics/Biostatistics for Fall 2021 session. A little background about me: I completed my undergraduate in 2015, majoring in statistics with minor in mathematics and economics and my masters in statistics in 2017, both with US equivalent GPA of 4.0. Both my undergrad and masters universities are quite reputed (not ISI) and I believe I have decent mathematical preparation. After that, till now I have been working as a biostatistician at a pharmaceutical company. Along with my job, I have been involve
  6. I really need some solid advice on my SOP. I don't really have anyone to review the essay, so it would be a big help. TIA One summer break, as I was sitting in my room watching my country’s election coverage, I realized that the coverage lacked any substantive information. As an avid follower of international politics, I expected the networks to cover information on policy proposals, the future impact of those policies, and most importantly, polling data. However, the information presented was very trivial. This realization inspired me to scour through swathes of data from a wide r
  7. 1. GRE: I got 154V, 165Q, and probably 3.5W 2. I finished enough upper division math classes to graduate and my overall GPA is 3.92. Here's a close list of the classes: Math: Topology (4.0); Linear Optimization (4.0); Linear Analysis (3.8); Matrix Algebra with Applications (3.4); Numerical Analysis I (4.0); Foundations of Modern Math (4.0); Discrete Mathematical Modeling (3.7); Calculus I (3.8); Calculus III (3.6); Multivariable Calculus (4.0); Introduction to Differential Equations (4.0); Abstract Algebra I (4.0); Real Analysis I (4.0) 3. I also have done a math research that g
  8. Undergrad: Big State School ranked around 150 Major: Mathematics, with Minor in Computer Science GPA: 4.0 (Two more semesters to go) Student Type: International Male (South Asian) Courses: Calculus Series, Into Linear Algebra, Differential Equations, Proofs and Logic, Discrete Mathematics, Undergraduate Advanced Calculus Series, Intro to Programming, Object Oriented Programming, Data Structures, Data Science in Python, Data Visualization in R, Database System, Elementary Number Theory, Group Theory, Mathematical Statistics I, Mathematical Statistics II, Analytic Number Th
  9. Hi All, I am looking at applying to a few statistics PhD programs, along with some applied math and others. Student Type: Domestic White Male Undergrad: Top 100 overall (US News Rankings) Major: Applied Mathematics (minors Comp. Sci. and Economics) GPA: 3.72 Coursework: Linear Algebra (A), Calc I/II/III (A-,B,A-), ODE (A), Discrete Math (B+), Analysis I/II (A-,A), Applied Probability (A), Math Stats (B-), Operations Research aka some optimization (A-), Applied Machine Learning (A), Econometrics (A-), Algorithms (B+), Artificial Intelligence (A-), Data Structure
  10. 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
  11. 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+) -
  12. Hi all, I am currently considering doing a PhD in biostatistics. I have been doing a lot of research on PhD programs, but I am still having a difficult time knowing what schools are my reach/target. Target PhD: Wharton, Yale, Cornell (social statistics), UW-Madison, UCLA(social statistics), Brown... Overreaching? Undergraduate Institution: Top 20 private liberal art college (Think Oberlin, Colgate, Macalester...) Major: Economics and Statistics GPA: 3.97 Type of Student: International Asian Graduate Institution: N/A GRE Score: 158 Verbal 168 Q, 5 W -
  13. Background: Graduated in 2019 with double major in Math and Computer Science and then worked in finance industry for a year. Returning this fall for a masters in the computer science department (at my school most statistics is under computer science) and will focus on some combination of machine learning / inference. My areas of interest in statistics are bayesian inference, causal inference, theoretical machine learning, and theoretical statistics. I am also interested in applications to healthcare. I would like to evaluate my prospects for applying to PhD programs in the fall in Statisti
  14. Hey everyone, I would appreciate a rundown of my profile and would love some advice/tips. Thanks. I'm entering from a mostly unrelated field. Undergrad Institution: Large State School Major(s): Criminal Justice/Criminology Minor(s): Mathematics (Post-bacc mostly) GPA: 3.5 (4.0 since start of Junior year) Type of Student: DWM, LGBT but I probably won't be mentioning that in my application. GRE General Test: I'm a very bad test-taker and will be retaking. Q: 157 (62%) V: 161(88%) W: 4.5 (80%) GRE Subject Test in Mathematics:n/a TOEFL Score:n/a Grad Institution: n/a Co
  15. Howdy, I am a rising senior and am planning to apply for PhD and masters programs in Biostatistics for Fall 2021. However, I currently do not know where I stand and whether the schools/programs I have chosen are realistic. I would love to go straight into a PhD program, but I am unsure of if this is feasible and would love feedback! Undergraduate Institution: Top 60 LACs Majors: Biomathematics Minor: Urban and Community Health, Music GPA: 3.80/4.0 Major GPA: 3.76/4.0 Type of Student: Domestic White Male Courses taken: Math: Math Modeling w
  16. Hi, I correlated all my study variables, and some of the demographic variables, with each other, to see if there were any significant associations. I found significant correlations between some study variables with demographic variables. For example, let's say I analyzed which type of candy participants like eating the most; and the amount of candy XY eaten correlated with participant's educational status. This would seem like a "spurious" association, as in there would be no obvious explanation why participant's education should be associated to how much of candy XY they eat. My quest
  17. Hi all, I look for the advices about my profile for applying Ph.D. in Statistics in Fall 2021. I am so nervous about the incoming application season since my GRE score in Verbal part is pretty low. I took it many times but my score didn't go up. Currently, I am master student majoring in Statistics in the US University. Type of Student: International Asian Male Applying to: Statistics PhD Undergrad Institution: Top 5 public university in my country Undergraduate Major: Mathematical Statistics Undergraduate GPA: 3.8 Graduate Institution: University in the US (Ranked between 11 -
  18. I am a graduate student in my second year and would like to apply for PhD programs in Statistics. I am uncertain about how successful my applications will be as I don't have a Stats background, but a couple of professors at my grad school told me I should give it a shot. Undergrad Institution: International private institution Undergraduate Major: Electronics and Communication Engineering Undergraduate GPA: 3.57 Graduate Institution: Private school in Southern California Graduate GPA: 3.85 Graduate Major: Business Analytics Type of Student:
  19. Hi everyone! First time posting here. I was looking for some feedback on my profile and what kind of universities I should be targeting. I'm not looking for a PhD, want to gain better knowledge of Data Science to improve my career prospects. Looking for universities in both US and UK. Degree: B.E. (Hons.), Electronics & Instrumentation Engineering, BITS Pilani Goa (Tier 1 university in India), CGPA: 7.8/10 GRE General: 336 (Q 170, V 166, AWA 4.5) Had taken the TOEFL in 2018, will need to take it again this year. Score last time around: 112 (W:29 R:29 L:29 S:25) Grades in Relevant cours
  20. I do not know if it is early to post in this forum, but I thought I would get some suggestions before starting the process. Undergrad: Big State School ranked around 150 Major: Mathematics, with Minor in Computer Science GPA: 4.0 (By the end of Junior Year) Student Type: International Male Undergraduate Courses: Calculus Series, Into Linear Algebra, Differential Equations, Proofs and Logic, Discrete Mathematics, Undergraduate Real Analysis Series, Intro to Programming, Object Oriented Programming, Data Structures, Data Science in Python (Mostly Sickit Learn pa
  21. Hey I have looked around here a bit but have not seen the answer... It is a long the same lines as those asking about science recs for ASHA. I am looking at what stats class to take and want to take the easiest one to fill the requirement. I am planning on taking my pre-recs at UW Madison and am looking at Psych 210 Statistics for Psychology. Has anyone taken it? Does anyone know if ASHA will accept it? The more obvious choice is 301 Intro to Statistical Methods but the pre-rec for that is having satisfied the Quantative Reasoning A requirement and I am an adult returning student and I have no
  22. I had mediocre to poor performance during my undergraduate career due to family/financial issues. As a result, my major GPA in mathematics was around a 2.5 (I do not have to exact number as it is not listed on my transcript) and my cumulative GPA was around a 2.8. Fortunately, my institution offers a certificate program (akin to something like non-degree studies) to essentially re-take graduate level versions of undergraduate courses, but I am wondering if that would be the best course of action as I am also considering the Math GRE subject since my performance was so poor. Is it tot
  23. Hi! I am trying to decide between the current offers for Stats PhD I have from Purdue, Minnesota, Ohio State and Univ of Toronto (Math Finance track in Statistics dept). I am interested in the areas of Machine Learning and high dimensional statistics, although I am open to explore new areas and then decide. Other than UoT where supervisors are already assigned, I have the flexibility to choose my supervisor in the other 3 places. In UoT, I have the chance to work at the interface of machine learning & finance which I find appealing. My questions are: 1. Which would be a better choice
  24. Hi all! I will be applying for to MS Statistics/Biostatistics programs in US and canada.My end goal is to finish my masters and go for a PhD in Statistics. Undegrad Institution : University of Delhi (tier 2 college) Major : Economics GPA : 7.12/10 (3.6 US equivalent) Releveant Courses : Math/Statistics : Math Econ I (7) ,Math Econ II (8) , Statistics (7), Introductory Econometrics (8), Applied Econometrics (10) All grades are out of 10, the two math courses covered some linear algebra and the rest was multivariable calculus but did not have ve
  25. Someone helps me! I am so hesitating! I will list pros and cons of these two programs and plz vote! 1. Columbia University Teachers College Applied Statistics pro: It's location is the best. CU is my dream school. con: TC is so independent and I am afraid of being questioned as a student of CU. Also this program is often being criticized. 2. UPenn GSE SMART(Statistics, Measurement, Assessment, and Research Technology) pro: GSE is better than TC. con: Location is not as good as NY(for me). Please share your opinions!
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