Hi Everyone,
Undergrad Institution: Large Public School with a top 20 math department (US news)
Undergrad Major: BS in Statistics
GPA (Undergrad): 3.9 overall
Type of Student: First Generation Asian Female (Permanent Resident in US)
Relevant Courses (Undergraduate):
Calc I/II/II (A, A+, A+), Analysis I/II (A-, B-), Applied Linear Algebra (A+), [proof-based] Linear Algebra (B), Abstract Algebra (P), Applied Probability Theory (A), ANOVA (A), SAS course (A), SQL course (A), R studio course (A), Numerical Methods (A), Partial Differential Equation (A)
Research:
2 semesters of physics research in statistical inferences
1 year of independent study in pure math
1 summer REU in computational math
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GRE General: Q/V/A: Will take it soon (PP1 score around 160/167/4.0)
GRE Math Subject: Planned on taking in September
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Research Interests: High dimensional inference, Machine Learning, Stochastic analysis
Prospective Schools: Statistics (S) and Industrial Engineering/Operation Research (IEOR)
Reach: Columbia (IEOR), Cornell (IEOR), UW (S), CMU (IEOR), NC State (S)
Target: Rice U (S), UT (IEOR & S), Emory (Computational Math)
Safety: Georgia Tech (Online Masters of CS)
My application is probably too unrealistic because I am still hesitant on whether I should go to grad school due to family reasons.
I feel like if I cannot make a decision myself, I'll just apply to the programs that are most interesting to me and let the admission committee do the job.