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Hi all, I will be second-year master student this upcoming semester and am really willing to pursue my Phd degree in statistics field. (For stat and biostat, I prefer to biostat). But I really do not know if these school I've already chosen is fit me well. I will really appreciate that if you could give me some advice! Thanks for your input! Type of student: international male (Asian) Applying to: stat/biostat Phd Undergrad institution: Central south university (Top 30 university in China) Majors: statistics GPA: 3.2 Main Math/stat course grades(undergrad):
Undergrad Institution: Berkeley Major(s): Math + Computer Science GPA: 3.89 Type of Student: International Asian Male GRE Revised General Test: 170 + 153 + 4.0 Program Applying: Computational Math Phd Relevant Undergrad Courses & Grades: Intro to Analysis (A+), Numerical Analysis (A+), Linear Algebra (A+), Complex Analysis (A-), Abstract Algebra (A), Combinatorics (A+), some lower division courses, and some computer science courses, A+ or A. Graduate Courses & Grades: Numerical solution to DE A&B (A+, A), Real and functional analysis (A, A-), Numerical Linea
Undergrad Institution: Liberal Arts University (ranked in the top 10 in the US) Major(s): Biology and Psychology Institution since undergrad: Local public university (I have been taking classes there because I was missing a few pre-requisites) GPA (undergrad): 3.355/4.0 GPA (*since undergrad*): 4.0/4.0 Type of Student: Domestic Female GRE General Test: Q: 166 V: 168 W: 4.0 Programs Applying: MS Biostatistics Research Experience: Volunteered/worked part time for 2.5 out of 4 years in undergrad. Worked in 3 different labs, all biology-related. 1 poster present
Hello all, A bit more of a non-traditional background here. I was an econ 'math-light' major in undergrad. Started to get interested in statistics after a year long course in econometrics my senior year (lower level - no prerequisites in multivariable calc or linear algebra if you can believe it...). I didn't feel overly satisfied with continuing on a finance track as a profession, and decided to jump into the maths after I graduated. Over the past year plus I have been working from the ground up taking courses in mathematics, statistics, and computer science, and have loved