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Profile Review - Statistics PhD


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Hi everyone!

I'm applying for PhD programs in Statistics this cycle and would appreciate some advice.

Here's my profile:

Undergrad: Top 25 undergrad (US News) 

Major(s): Economics & Statistics
GPA: 3.89
Type of Student: Asian female
 
Relevant Courses: Calculus I-III (A), Linear Algebra (B), Mathematical Proofs (B), Differential Equations (A), Real Analysis I (A), Probability Theory (A), Statistical Inference (A), Statistical Computing (A), Modern Regression (A), Advanced Data Analysis (A), Econometrics I-II (A), and various other economics classes

GRE General Test:
Q:
 167
V: 164
W: 4.5
 
Programs Applying: Statistics

Research Experience: one independent research project, 2 RA roles, no published papers

Pertinent Activities or Jobs: TA (2 semesters)
 
Letters of Recommendation:  2 from professors who were also my research advisors, 1 from a statistics professor
 
Other: I graduated a year early from university and spent that year working for a large hedge fund
 
Schools Applying to (all Statistics PhD): UMich, UCLA, Yale, CMU, Rutgers, UCI, UC Davis 
 
Do you all think these are a good list of schools given my profile? I am unsure if I should be targeting lower/higher and would appreciate any advice.
Thanks!
Edited by stackleberg cat
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It is kind of late to apply some elite programs like stanford or UCB, I think you could add Chicago and Wharton, which will fit your major perfectly. As for target, OSU, Minnesota are also good fit. Good luck with your applications.

 

 

 

 

 

 

 

 

 

 

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If you're domestic and not strapped for cash I'd advise adding schools on the upper end of rankings if you're interested in their programs (think Uwashington, Duke, etc...). This advice especially applies  if you're very close with those two professors and expect good LOR.

Edit: Not sure when all the application deadlines are so apologies if they have already passed.

Edited by trynagetby
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