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warmest

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  • Location
    CA
  • Application Season
    2020 Fall
  • Program
    PhD in Bio-/Statistics

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  1. Thanks a lot for your reply. I am also wondering if I take a few more proof-based courses, such as real analysis, through non-degree program, and apply next year, do you think that would change the odd of being admitted to 30-50 ranking schools?
  2. 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 GPA: 3.46/4.0 by WES (84/100) Courses taken (score by WES): CS Intro to Computation (A) Data Structure and Algorithm (B) Math 2 calculus courses (A and B) Linear Algebra (A) Probability Theory and Statistics (A) Stat Applied Statistics (B) Graduate Institution: Master’s degree, top-20 by US news ranking in stats major Majors: Applied Statistics (courses only, no thesis), dual degree in environmental science GPA: 3.6/4.0 Stat 400-level Intro to Theoretical Stat (B+) Applied Probability (B) Stat 500-level Stat Learning I (A-) Stat Learning II (A-) Stat Inference (A) Stat Consulting (A-) Probability Distribution Theory (A-) Stat Inference (A) Stat 600-level Linear Models (B+) Survival Time Analysis (A) Stat Computing (A-) GRE General Test: Q: 170 (96%); V: 152 (56%), W: 3.5 (41%) Research Experience Second author of a paper that is under peer review now. I did plenty of map visualization on the topic of air pollution. No modern stats method applied. (*big name prof. in biostatistics, not sure how the rec would be) One presentation at the School Symposium about a minor project, using spatial statistics method to answer an environmental question. Undergraduate thesis is about applying non-linear optimization method in a environmental problem. (*prof. in environmental science, good but not strong rec) Graduate capstone is much like consulting about clean energy, no related to stat. (*prof. in environmental science, might be strong rec) Research assistant for a social scientist for half year. I mainly cleaned data in R and SAS, and did some simple tests. (*prof. in social science, strong rec) Working Experience One-year work experience in a software company. Daily work includes programming in Python, R, Git; researching for spatial-temporal statistical methods, such as time series forecast, spatial outlier detection. (*supervisor) Letters of Recommendation I listed the potential recommenders with asterisk* in the Research/Work Experience above. I can reach out to prof. who taught stat courses but that would be weak rec I guess. Currently considering schools Planning to focus on 20-50 tiers schools in the U.S., such as UCLA, UC Irvine, UC Davis, OSU, Boston U, UUC. In addition, I am planning to apply for British Columbia and McGill in Canada. My questions Here is my main question - I like statistics, and based on by background in environmental science, I think biostatistics would provide a good balance between theory and application for me. Yet with little research experience in biostats, I find it hard to compare the programs. What should look for when I scan through the programs? Any advice about how to filter programs would be appreciated! I have another concern about the targets – I am worried my low GPA and weak background in math would become a constraint. Is there anything I should be aware about? For example, does programs usually filter applicants' GPA first? In addition, I would love to hear about who you think would make the best combo of recommenders. The fact that most of my rec would not come from prof. in stat concerns me as well. Thank you in advance for your input!
  3. Hi, I am not sure what ties of schools I should apply for based on my background because my undergraduate degree is not math/stats and none of my research experience use fashion statistics methods (I use simple regression, t-test). In addition, my GPA (3.5) is not competitive as well. I list what I gonna apply as below. Should I be more ambitious or conservative? Undergrad School: Peking University (China) Undergrad Major: Environmental Science Undergrad GPA: 3.6 out of 4.0 Master's School: University of Michigan Ann Arbor Dual-Master's Major: Sustainable Systems, Applied Statistics Master's GPA: 3.6 out of 4.0 for both major GRE: Q = 170 , V = 154 , AW = 3.5 Math Subject GRE: N/A Courses: Satisfy most course requirement of stats PhD programs didn't take mathematical optimization courses but other requirements should be satisfied Programming: R, Python, C++ etc Research Experience: I think I have some interesting research experiences, they focus on sustainability issues and use some simple statistics methods. I am working on a paper but I don't think I can publish it before application. Applying: University of Michigan, Carnegie Mellon, Duke, University of Wisconsin Madison, University of North Carolina, Texas A&M, Penn State University, University of North Carolina at Chapel Hill, Iowa State University
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