spongbob101

Yes, I am in the acms major. I am taking optimization this fall. But still, I took wayyyy too many ML classes and few math classes. I guess I'll change some PhD programs on my list to MS for a better chance?

Got it. So for masters programs, what range of schools should I target for?

Thanks for your reply! Just to clarify, is the top 30 ranked by best statistics grad program on US news?

Thanks for the reply! I agree my math background is a bit light. I have not taken real analysis. Do you think a strong LOR from a math professor would help a little?

Undergrad Institution: University of Washington Type of Student: asian male, International (undergrad in US) Major: Data Science and Statistics Minor: Computational Finance GPA: 3.8 (Major is 3.7) GRE General Test: Q: 166, V: 157, writing 4.5 Research: Some research on COVID-19, no publication. Working on honors thesis. Teaching: TAing an undergrad course Experience: Statistics related volunteering, data science blogger Awards: 1st place in a Datathon (~60 participants). A programming certification by Google Letters of Recommendation: 1 from research supervisor (professor). I will ask thesis advisor (professor) and TA supervisor for the other 2. Relevant Coursework: All undergraduate level. linear algebra, differential equations, probability, machine learning, statistical learning, discrete & continuous modeling, database Schools Applying (PhD in Statistics): University of Washington Carnegie Mellon UC Irvine UC Davis UC Berkeley UCSB UCLA Columbia NYU University of Toronto UBC Any school recommendations can help, thanks!