2019 Stats PhD Eval

[probstat231]

Undergrad/grad Institution:  Top 15 US University BS/MS
Major: Statistics 
GPA: 3.93

Major GPA: 3.84

Type of Student: Domestic White Male

Undergrad Courses: 

Calc II (A+), Calc III (A-), Lin Alg (A), Diff EQ (A+), Discrete Math (A), Probability (A), Stats (A+), Stochastic Processes (A-), Optimization (A+), Time Series Analysis (A-), Graph Theory (B)

 

Grad Courses Will Take Next Semester:

Real Analysis, Optimization Theory, Stat Theory, Matrix Analysis or Machine Learning (definitely first 3 and one of these last 2)

 

GRE: 

Q: 170
V: 169
W: 5.5

 

Math GRE:

Should I take this?

 

Programs Applying: 

Statistics/Biostatistics PhD (Good bio background)

 

Research Experience: 

2 years in behavorial bio/nuero research lab not doing too much important.

Been working on since last semester, a research paper/project in ML that I hope to publish and that I will also likely write a masters thesis on.

 

Recommendation Letter: 

Probably research advisor and 2 professors or 1 professor and supervisor from current data analyst internship.

 

Coding Experience:

R, Python, MATLAB, C

Concerns:

• Lack of good research experience.
• Lack of great recs.

Is a top 20 stats program possible? Would I be more suited for biostats with my bio background? Should I wait until 2020 when the research paper is more likely done and can get better recs? Is the Math GRE subject test important?

 

 

Edited July 6, 2018 by probstat231
grammar

[bayessays]

Do well in real analysis, and you're in the running anywhere. Top 5-10 are tossups for anyone, but you will definitely get into top 20 programs if you apply widely. 

[probstat231]

Thanks Bayessays. Do you think taking the Math GRE would be a worthwhile endeavor for me?

[bayessays]

Probably not. Only a couple schools want it that will be big reaches for you anyways. And I'd apply to some top 5 biostat schools if that interests you as well as some programs in the 20-35 range.