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Found 15 results

  1. Background: International student Female Bachelor's in Statistics with hons: 3.5 gpa( converted from Percentage) from tier 1 public university with coursework in linear algebra, calculas, numerical and real analysis etc. Masters in Statistics: 9.6 cgpa on a scale of 10 from a tier 2 private university with 10 in calculas, algebra, linear models, Design of Experiments, Biostatistics, multivariate analysis, Demography,Statistical Inference. Research experience: 1.Did a thesis project for final semester applying mathematical model to demographic rates. 2
  2. Hello Everyone, I took my GRE couple of days ago and got 326 (168 on Math and 158 on Verbal). I am applying for phd in statistics and I believe that my score on math section is fine for the most programs, but the verbal score is probably less than their average for good schools. Since I am an international student, I think I would not be judged too harshly on that verbal score but I just wanted to ask here. Should I submit these scores to schools like U Michigan, UT Austin who have made GRE optional?
  3. 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
  4. 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
  5. Dear All, I need a little helping hand from you. I suppose some of the users in this forum have a good idea regarding which universities have expertise on which field. So could it be possible for you to tell me which of the following universities' Statistics departments can be considered as a good option for a student who would like to end up doing PhD in the broad area of Computational Statistics. More specifically in the following areas:- Statistical aspects of Machine Learning (Statistical Learning), High Dimensional Inference & Data Analysis, Bayesian Computation, non-parametric m
  6. I am interested in pursuing a PhD in Statistics to specifically research Spatio-Temporal Data or working in industry working with spatial data (finishing my first year at a Masters in Statistics at Top 5 Stat program & interning at top GIS company this Summer). I am trying to see if anyone can share their experiences in this field (Spatial Temporal Modeling) about going the PhD route or straight to industry (government, tech, or other)? Also, after searching the web, I came up with these prof's/ uni's as a starting point for reading literature: Chris Wikle (U. of Missouri), Deb
  7. 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
  8. Realized I had preemptively posted in the April 15th week section. I am currently weighting offers from UNC and Rice for a PhD in Statistics, and waiting for a response from TAMU (my top choice). Background: I am in my last semester of my Masters of Statistics at NC State. Started research with one of my professors there last semester and really enjoyed it; however, the MS program at state doesn't go as far in depth in either applied or theoretical statistics as I would like. I prefer Texas (e.g., Houston/proximity to Austin) for long-term location, but Rice appears to be ranke
  9. I am still not sure whether to pursue a Phd degree in the future but I want to work in industry as my final career goal. Can anyone give me some advice on those two programs? If I would like to work as a data scientist/data analyst /data engineer/machine learning engineer/ after my graduation, which one is better? If I would like to continue to get a Phd Degree,which is better?
  10. Hi all, I wish that I had done this sooner! I never thought to ask the GradCafe, and everyone is so helpful here. I don't have much idea of which programs I should be targeting, so I'd like some advice based on my background. I graduated in 2018, so I spent a gap year after graduating without applying. I mention some of the things I did in here. Undergraduate Institution: UC San Diego (mid-tier university of california) Degree granted 2018: BS in Mathematics and Physics (double major), with department honors in Mathematics GPA: 3.59/4.0 (cumulative) Type of S
  11. Hey everyone, I will be applying to Statistics PhD programs for fall of 2020. I am mostly interested in probability theory and general statistical theory. Any advice is greatly appreciated! Undergraduate: Small public university. Relatively small math department. Major: Mathematics GPA: 4.0 Type of Student: White Male Relevant Courses: Calculus I, II, and III, Ordinary Differential Equations, Linear Algebra, Abstract Algebra, Modern Algebra, Discrete Mathematics, Advanced Calculus I (Real analysis), Numerical Analysis I, Financial Mathematics, Life Contingencies,
  12. Hi all, I wanted to see if anyone had a little more info on UNH’s Statistics Ph.D. I looked on their website, and was able to look up a few professor’s profiles, and research interests, but there was not too much information, otherwise. I also sent an email out to the graduate admissions chair (as I have a LOR writer who got his MS there before going elsewhere for his PhD) just to hear a little more about their program. While I am waiting back, I wanted to hear a little more about their program, and if anyone has any experience with them, or the types of applicants they attract/ad
  13. Undergrad Institution: Top 5 in U.S (private) Major(s): Mathematics (Intensive), Statistics and Data Science GPA: 3.95 Type of Student: domestic white male GRE General Test: Taking it in two weeks. Very confident about the Quant section, but not sure I will have enough time to prepare for the writing and verbal GRE Subject Test in Mathematics: I took it yesterday. I felt tired and unfocused for the last third of the exam and don't think I did well. Research Experience: 1st Summer: worked in a computational medical research lab 2nd Summe
  14. What are my chances would be of getting into a statistics phd program? Undergrad Institution: top 50 private Major(s): Physics, Math Minor(s): GPA: 3.88 Type of Student: male, White, Domestic GRE General Test: Not taken yet, took a practice and got 86 and 91st percentiles for reading/math respectively, not planning on taking subject test Programs Applying: PhD in Statistics Research Experience: 2 summers of research at home university in physics, one paper in review, maybe another one or two to follow (not first author) Awards/Honors/Recognitions: Deans List, Pi M
  15. I just finished my junior year of college, and I want to apply to statistics phd programs this upcoming fall. I am wondering how my math background is for phd admissions. I want to apply to top 20 programs. The math/ stat classes I've taken so far: calculus 3, linear algebra, ODE, advanced calculus, probability theory, theory of statistics, discrete math, linear models, basic analysis in function spaces, topics in analysis (undergrad real analysis), data analysis, intro programming, intro data analysis, multivariate statistics, data mining/ machine learning I have A's in all exc
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