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Posted

This process is pretty stressful. I'm applying to UC Davis, UC Santa Cruz, and UC Santa Barbra.

Undergrad GPA: 3.62/4

School: UCLA (domestic student)

Major: Computational Systems and Biology 

GRE: Quant: 163, Verbal: 158, AW:4.5

I have taken upper division statistics classes, computer science classes, and biology classes (including a lot of computational modeling classes). Also took bioinformatics and machine learning in genetics classes which focus on applied theory of statistics.   I know python, R, sql, C++ and Bash

I have generally good letters of rec: 2/3 of the professors know me very well and 1 I am working with on research. Research/experience: About 1.5 years, I have no publications but have experience writing statistical programs (my specific lab focuses on machine learning techniques to define complex relations etc etc). 

Personal statement and personal history statement are overall not bad. In fact my personal history statement aligns well with my statement of purpose and goals. I am mostly concerned that I do not come from a pure math or stats background even if my major incorporates both. I wish to go to grad school to continue what I have learned and expand upon my statistical knowledge and applications.  

Grad school apps feel like a shot in the dark. Any help is appreciated. I am really hopping I have a shot at one of these.

Thank you I appreciate this greatly

Posted (edited)

For the vast majority of Masters programs in Statistics/Biostatistics, you mostly just need to have gotten a B- or higher in Calculus I-III and Linear Algebra and have a sufficiently high GRE Quant score. You didn't post your grades in Calc I-III or LA, but I'm assuming that they are fine. You should have no difficulty getting into these Masters programs.

If you are interested in getting a PhD in Statistics eventually, then take Real Analysis during your Masters program and maybe one or two other proof-based math classes.

Edited by Stat PhD Now Postdoc

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