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  1. Hi all, would really appreciate some input on both a profile evaluation and advice on whether to pursue a (second) master's, or a PhD. Motivation: I'm a lifelong learner - have always enjoyed my time in education and just learning - and deeply driven to pursuing careers that can shape policy or drive some sort of greater systemic change and public good. Whilst I don't really have an intention to stay in academia or go into teaching, I feel like there's still so much I could gain from having a more robust theoretical foundation in politics and theory, to be able to analyse and grasp polic
  2. From: India Background Undergraduate Institute- Top 3 for Math in the country Major- Math Minor - Physics Grades- 9.5/10 Relevant courses(with grades): Analysis 1,2,3(10 in all); Algebra 1,2,3(9,10,8); Probability(10); Calculus(10); Differential equations(10); Complex Analysis(10); Topology(7); Stochastic Processes 1,2(10 in both); Optimisation(10); Game theory(9) + Physics courses(overall physics courses 9.4/10) Masters: Top1 institute for statistics Overall percentage-82 Coursework(with percentage): Regression(62); Statistical Inferenc
  3. Applying for PhD in statistics/biostatistics after working in industry for a few years as a Data Scientist - would appreciate any thoughts, feedback, or advice on programs below given profile/research interests. Undergrad Institution: US Top-5 in Statistics Majors: Statistics, Applied Math GPA: 3.91 Type of Student: International Male Math Courses (All A's): Real Analysis, Complex Analysis, Linear Algebra 1/2, Abstract Algebra, Numerical Analysis, Differential Equations, Calculus 1/2/3, Discrete Math Statistics Courses (All A's): Stochastic Processes, Time Series, Experimental
  4. Undergraduate Institution:Top 3 in math in India Program: B.Sc Hons. Major:Math and Physics Grade: 9.5/10 Type :International Asian Male Courses with grades: Analysis 1(10),2(10),3(10); Complex Analysis(10);Probability(10),Algebra 1(9),2(10),3(8);Calculus(10), Differential equations(10) ,topology(7),optimization(10), Game theory(9), Stochastic processes 1(10), 2(10) Masters Institution: Top stats program in India Major: Statistics with probability specialisation Percentage:84%(At time of application) Math courses with percentages: Analysis 1(95), P
  5. Hi, I graduated with a bachelor of technology degree in Electronics from VIT Vellore, India in 2016 and have been working in statistical modelling/predictive analytics related profiles since then. I took various mathematics electives in college and enjoyed learning about different branches, and their applications in industry. I enjoy working on lot of versatile projects but over time, I realized that I am not learning anything in depth. Online courses related to statistics touch topics in a superficial way (no offence) and I would want to study some topics in depth, and pursue
  6. Phd Financial Economics/ Economics Evaluation ( Planning to Apply Fall 2021):GRE: Yet to Take ( Planning to take in June)TOEFL: Yet to take ( Planning to take in June)Undergrad: NIT Durgapur'2017 ( Chemical Engineering)- 8.20/10Grad: IIM Indore'2019 (Top 5 in Management as per NIRF ranking published by Ministry of Human resources India)-MBA ( 3.38/4.33, Top 35 out of 540, Don't have a proof yet but I am trying to get one from Admissions Office)Courses & Grades:1.Mathematics I :Functions of Single Variable,Functions of several variables,Integral Calculus, Multiple Integral, Vector Calculus,
  7. 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)
  8. BS Electrical Engineering from country's top college graduated 2019 with one extra-year GPA 3.0 GRE (168 quant, 155 verbal, 3 analytical) 1 year research experience Decent Letters of recommendation TOEFL 113 No publications so far What kind of grad school can I target? Is it worth applying to U of Alberta in Canada? What can I do to improve my chances now? How can I build a stronger profile going forward?
  9. Hi everyone! I'm reapplying to Neuro PhD programs after an unsuccessful round in senior year of undergrad (F2019). I only applied to Pitt, Vanderbilt (waitlisted for interview slot), Columbia, and Johns Hopkins. 2 years later, I now have some more research experience and focus on what I want to do as I'm in my 2nd year in an NIH IRTA postbac. I'm interested in behavioral neuroscience, neuroendocrinology and psychiatry. Any help in judging my stats against the schools I'm applying to would be seriously appreciated! Stats Undergrad: Dual B.S. degrees in Psychology and Co
  10. Student Type: International asian female Undergrad: Top 5 U.K School Major: Mathematics with Economics GPA: 4.0/4.0 Math & stat modules: Analysis I (A/A*) Analysis II (A/A*) Complex Analysis (A/A*) Real Analysis (A/A*) Probability and Statistics(A/A*) Linear Algebra I (A/A*) Linear Algebra II (A/A*) Linear Algebra III(A/A*) Mathematical Methods I (=Calculus)(A/A*) Mathematical Methods II (=Calculus II)(A/A*) Mathematical Methods III (=Calculus III)(A/A*) Economics I(=Micro and Macro)(A/A*) Economics II(=micro and macro)(A/A*) Maths and Stat modules for next year:
  11. 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
  12. Hi! I'm a rising senior this upcoming semester and planning to apply for Stats PhD programs (possibly Biostats as well). I'm mostly interested in doing research in bayesian statistics / machine learning and survival analysis, but that could change. I'd appreciate any suggestions on reachable schools with my application. I prefer programs in East Coast, especially New England and West Coast. Thanks for your input! Undergrad Institution: top 30 LACs Major(s): Statistics Minor(s): Computer Science GPA: Current 3.83 (might be able to reach 3.86 by the time applyi
  13. 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)
  14. 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)
  15. 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
  16. Hello everyone, I am aiming for my masters in Fall'21. Can someone please evaluate my profile and help me understand where I can improve to build a stronger application. Also, it would be really helpful if some one can tell me if I have any chance of getting an admit in the below mentioned universities.. Universities list: CMU, Masters in Computer Vision UCSD, MSCS UCLA, MSCS Waterloo, CS UBC, CS Georgia Tech, CS UC Irvine My profile details are given below: Undergraduate: One of the top-10 private university from India in Comput
  17. Student Type: Domestic White Male Undergrad: Top 5 U.S Public School Major: Statistics and a foreign language GPA: 3.5 (Statistics major GPA is 3.3) Math & stat classes: Calc I&II (high school), Calc III (B+), Differential Equations (B+), Linear Algebra (B), and a few more basic ones. I never got less than a B on any Stats or Math class, but I ended up with quite a few B+s. GRE: 167 Q, 161 V, 3.5 W Research: Did an independent research project with a professor my senior year. Not published or anything. Also participated in SIBS and a few
  18. Hello all, I'm a current final year biotechnology student and will be graduating in '21. I plan to do masters in US. However, after doing some research & going through universities and their courses, i have begun to develop interest in courses which are completely different from my undergrad. For e.g, i like Masters in Business Analytics (MSBA), Masters in Management Information Systems(MIS). I'm kind of reluctant to apply for MIS, MSBA...because 1)i feel my chances of getting selected in good schools are close to NIL (because my undergrad
  19. Hello all, I'm a current final year biotechnology student and will be graduating in '21. I plan to do masters in US. However, after doing some research & going through universities and their courses, i have begun to develop interest in courses which are completely different from my undergrad. For e.g, i like Masters in Business Analytics (MSBA), Masters in Management Information Systems(MIS). I'm also inclined towards Health Informatics (MHI) but not many universities offer them. I'm kind of reluctant to apply for MIS, MSBA...because 1)i feel my chances of getting selected i
  20. Hi All, I'm a pretty non-traditional applicant to Stats PhD programs -- I have a few questions, and am interested to see what y'all think of my chances! Student Type: Domestic White Male Undergrad: Top 10 overall (Private) (US News Rankings) Major: Physics (Chemistry minor) GPA: 3.88 Math Coursework: Calc 2-3 (A), Linear Algebra (A), Diff Eq (B), Complex Analysis (A), Numerical Analysis (A), Geometry Seminar (A) CS Coursework: Intro Programming (A-), Computer Architecture (A+ -- taken post-grad to prep for CS grad school) Other: Upper-level undergra
  21. Hello guys ~~ Quick intro: I am international Asian female who just graduated from undergrad. I was supposed to head for my investment banking full-time job in NYC (after receiving their return offer from my junior year's internship). Due to COVID-19 complications, I headed back home (another country) and reflected on my journey. Realizing IB is (affirmatively) not what I saw myself enjoy doing, I decided to quit the offer and planned to go back to school for a Master's in Applied Stats/Data Science (I have always wanted to pursue this route to later on work on social problems back in my
  22. 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
  23. 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
  24. 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
  25. Hello, hope you are doing well. After looking at several profiles, I'm coming to the realization that my application is quite weak and I'm looking for the strongest schools I can get into. I graduated on May 2020, and I am currently waiting for OPT approval. I am applying for Fall 2021. Absolutely any help is greatly appreciated. Type of student: International Asian Male (Indian) Undergraduate Institution: Small mid-western liberal arts college (St. Olaf College) Undergraduate Major: Mathematics, with concentration in Statistics and Data Science GPA: 3.8 Overall
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