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Found 8 results

  1. I can't access the 2018 USnews rankings anymore, but the rankings for Stats and Biostats used to be merged. (If anyone still has access to 2018, please share.) I can't help but wonder if anyone thinks that the merged rankings could have been more useful. For example, Cornell is #13 in Stats, while Duke is #13 in Biostats. But if I recall correctly, Duke was around #35 in the combined 2018 rankings, well below Cornell Stats. Does this imply that the Cornell Stat programs be better career wise? Or do you think that the Stat/Biostat career paths are different enough that the separated lists are better?
  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 everyone, I'm a recent B.S. graduate in desperate need of advice for biostatistics graduate school; I would liked to apply this fall (2020) to PhD/ MS. I'm considering biostatistics, as opposed to statistics, because I like how it has a substantive topic (e.g. biology, genetics, public health), that I really desired from my undergrad. I liked theory, but I was disappointed without a constant substantive topic of application. I'm open to both PhD and MS, but for PhD I'm hesitant since I am unsure of whether I'll like the bio/public health area, but its the best options for my goal: research. For masters, the idea of more loans is scary, but even if I don't like the bio area, I learn more methods with much better job opportunity. The main problem is my GPA. I transferred from community college and had a 3.0 GPA and had an average university GPA, but I took a lot of statistics courses at my university in 6 quarters and 2 summer sessions, so I'm hoping my course load proves I'm competent; I even took 5 technical courses in my last quarter. Here is some background/relevant information: Undergraduate: University of California, Davis Major: Statistics (data science track) GPA: 3.217 (major), 3.207 (overall) Letters of Rec: Have yet to request due to confusion on what to pursue GRE: haven't taken yet. Many are waiving due to COVID-19 Coursework (junior college semester system) Single Variable Calculus I C (fall 2017) Single Variable Calculus II A (spring 2017) Introduction to Linear Algebra A (fall 2017) Multivariable Calculus B (spring 2018) Data structures A (spring 2018) Introduction to Math Proofs A (spring 2018) Coursework (Davis quarter system): Regression Analysis B- (fall 2018) Probability Theory C+ (fall 2018) Analysis of Variance (ANOVA) B- (winter 2019) Math Statistics B (winter 2019) Intro to Data Structures B (winter 2019) Intro to Math Statistics B- (spring 2019) Multivariate Data Analysis B+ (spring 2019) Survey Sampling Theory B- (spring 2019) Applied Linear Algebra B (summer session 2019) Applied Time Series Analysis B+ (fall 2019) Analysis Categorical Data A (fall 2019) Statistical Data Science B+ (fall 2019) Statistical Data Technologies B- (winter 2020) Statistical Learning I B+ (winter 2020) Psychometrics (graduate level) A (winter 2020) Adv Statistical Computing A (spring 2020) Statistical Learning II B (spring 2020) Bayesian Stat Inference A. (spring 2020) Practice in Data Science B+ (spring 2020) Artificial Intelligence, NLP A (spring 2020) Any advice helps...
  4. What do you guys think? The programs are close in terms of ranking. Both offered full fund. I had no connection with a specific professor in both places, because I wanted to keep my options open. I would appreciate your input on this.
  5. Hello everyone, I am a senior who will be applying to PhD programs in biostatistics. I have posted here before about statistics, but my list of schools was very different and after looking into biostatistics programs at the suggestion of a couple people here, I found that they actually do research which I find very interesting. Undergraduate Institution: Top 20 among public universities; big, well-known state school; top 20 mathematics department. Majors: Pure mathematics Minor: Computer Science GPA: 3.73/4.0 Major GPA: 3.83/4.0 Type of Student: Domestic Asian Male Courses taken: Math: Calc 3 (A) Intro Linear Algebra (A) Honors Intro to Proofs (B) Mathematical Probability (A) Ordinary Differential Equations (A) Intro Complex Analysis (A) Elementary PDE (B+) Honors Linear Algebra (A) Honors Intro Real Analysis I (A) Honors Abstract Algebra I (C+) Intro Real Analysis II (B+) Mathematical Statistics (A) Graduate Ordinary Differential Equations (A) CS: Intro to CS (A) Data Structures (B) Computer Architecture & Design (B) Algorithms (A) Currently taking: Graduate Real Analysis I (measure theory) (Going very well so far), Graduate Regression Analysis, Topology. Will take in Spring: Graduate Time Series, Independent Study (Geometric Measure Theory), Finite Automata, Graduate Systems Biology. GRE General Test: 164V (94%)/164Q (84%)/4.5 (81%). Concern: Weak Q score. GRE Subject Math: Not taking. Research Experience: 1 semester of exploratory research on the mathematics of cancer dynamics with professor I had for diffeq (ended after a semester since professor left uni, but we had a great connection and many great discussions). 1 mathematical biology REU; will likely result in eventual publication in a biology journal, however this isn't set in stone yet. Will be giving a talk at 2020 Joint Math Meetings on this research. From 2019-2020, working as research assistant with an engineering professor on quantum computing applications to environmental modeling/optimization problems. Working Experience: 3 semesters tutoring Calculus I, II, Intro Linear Algebra, Mathematical Probability (simultaneously). (Will continue this through graduation) 3 semesters grading for Mathematical Probability, Advanced Linear Algebra, Mathematical Statistics (one course for each of the 3 semesters). Letters of Recommendation: One from the exploratory research on cancer dynamics (also was differential equations prof), one from REU advisor, one from measure theory professor who taught me mathematical statistics as well, one from Honors Intro Real Analysis I professor, and one from an instructor who has known me closely for a couple of years. All letters should be strong Applied to the following for PhD in Biostatistics: Harvard JHU Yale Brown Columbia BU UPenn I'd like honest opinions on what you believe are my chances at these schools. My concerns are about the inconsistent grades and low GRE. Thank you so much for taking the time to read! Looking forward to your thoughts.
  6. I am in the process of applying to Masters in Biostatistics programs and would like some application advice/profile evaluation: Undergrad Institution: one of the UC school (top 50) Major: pharmacological chemistry GPA: 3.265 GRE: First attempt: Q: 160, V: 163, W: 4; plan to retake it next month to improve math score. Relevant Courses: Calculus 1 (A), Calculus 2 (B-), Vector Calculus 3(B+), Multi-variable Calculus (A), Linear Algebra(B), Introduction to Probability (B-), Intro Statistics (B), Mathematical Proofs (C), Introduction to Analysis (A) On-going: Applied linear algebra, Intro to Numerical Analysis, Intro to Computational Stat Skills: know some basics of R, Python and Matlab Research Experience: working for a bio lab on one year, doing basic wet lab work (pcr, staining, cell culture, mouse colony). Went to the other bio lab in school, stayed until now. Working on pretty much the same thing, without much related to biostatistics (data analysis or computation). Letters of recommendation: - School research Lab (biology-focus on neuro- degenerative disease) PI - strong - School research Lab PI(biology-focus on prion disease) - strong - School research Lab (biology-focus on prion disease) post-doc - strong Concerns: I had some bad grades in math courses and my quan section of the GRE was not that strong. But I might be able to improve the GRE quan in next time when I am taking it. Also my research experiences are not that related to biostatistics, but focus more on the biology aspects; have no papers or presentations, only participated in a small project. I am applying to a lot of schools because I am afraid I will not get into any because of my low GPA. Should I add one or more lower ranking school to my list? Schools: University of Florida University of North Carolina University of Minnesota Emory University Brown University University of California, Los Angeles University of California, San Diego University of California, Davis University of Texas Health science center at Houston Yale Rutgers University University of Texas MD Anderson Tulane University Washington University in St. Louis Thanks in advance for your help!
  7. I am very interested in pursuing biostatistics PhD for this coming year (2020). I realize I have a low gpa score but have a strong research record/work experience to compensate. I would really appreciate honest feedback about my chances for graduate school this coming year given that I can get very strong LORs. Undergrad Institution: Top 10 LAC Major: Computer Science and Statistics GPA: 3.56 Student: Domestic POC, female Courses: Intro to Stat Modeling (A-), Intro Computer Science I (B+), Multivariable Calculus (A-), Intermediate Statistics (A-), Intro Computer Science II (B+), Linear Algebra (B-), Probability (B), Spatial Statistics (B+), Data Structures and Algorithms I (A-), Databases (A-), Theoretical Statistics (B+), Computer Systems (B+), Networks & Cryptography (A+), Data Structures and Algorithms II (B), Advanced Data Analysis (B+), Machine Learning (A-), Mobile Computing (B+). GRE: 161Q, 161 V, 4.5 Writing Research/Work Experience: Currently work as a Data Analyst at Columbia University Medical Center (a year), with having previously worked at IBM Watson Health as a Data Scientist (a year and a half). I have two research publications and have been working on multiple manuscripts and abstracts for conferences. I also participated in the Biostatistics Program for Underrepresented Students at Columbia University two summers in college. Applying to: QBS PhD Program at Dartmouth Ohio State University Drexel University George Washington University Rutgers Boston University UMASS University of Pittsburg UNC Chapel Hill Virginia Commonwealth University University of Maryland Vanderbilt University Emory University Brown University University of Pennsylvania
  8. I am an international applicant and was looking to get more information on the type and format of interviews faced by applicants to PhD programs in biostatistics. In particular, I am interested in knowing about the interview process at the following schools: 1) Duke University 2) University of Pennsylvania 3) UC Davis 4) UC San Diego 5) University of Miami (Coral Gables) Specifically, I'd like to know what people felt was the main thrust at these schools, if you have experiences to share from the past/ current year(s) . Are they directed at (i) gauging/testing technical knowledge (formal) ,or (ii) more of the get to know you sort ?(informal, want to know how your interests developed, why this topic/area in biostatistics etc. ?) Are they structured, or free flowing (applicant drives the interview)? Are the interviewers potential advisors or randomly chosen faculty members ? Are there interviews with multiple faculty or just one ? Length of the interview?
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