Fall 2022 Statistics PhD Profile Evaluation and Target Schools

[tgg]

Hi all,

I'm interested in applying for PhD programs in Statistics to study machine learning and/or bayesian statistics. Here's my profile:

Undergrad Institution : Top 5 U.S. liberal arts college

Major(s): Economics & Mathematics
GPA: 3.98 (4.0 major)

 

 

 

 

Type of Student: White male

 

Courses taken and taking (all As): Calculus I-III, Linear Algebra I-II, Mathematical Proofs, Topology, Real Analysis I-II, Group Theory, Rings, Algebraic Geometry, ODEs, Combinatorics, Probability, Statistics, Bayesian Statistics, Econometrics, Financial Economics

 

GRE General Test:
Q: 170 (96%)
V: 167 (98%)
W: 5.5 (98%)

 

GRE Mathematics Subject Test: Taken in October

 

Programs Applying: Statistics

Research Experience: ML research project sophomore year summer, math & stats REU junior year summer (submitted paper for publication), honors thesis in progress.

Pertinent Activities or Jobs: Tutor/TA

Letters of Recommendation:  2 from research advisors, 1 from math professor

 

What schools should I aim for? What are realistic tiers of programs that I can get into?

[bayessays]

Can't get much better than a profile like this, so you can definitely apply anywhere including places like Stanford.  No need to apply outside the top 20 unless you really like a certain program (like UT-Austin for Bayesian statistics).  I think schools like Duke and CMU are good targets.

[rbinzhu]

Thank god you're not applying to Econ. But I guess you're aiming for schools wayyyy out of my league anyway. Good luck.