Cleepople

Thank you so much for this advice. I will definitely take those two sequences next year. Also yes, my letters of rec should be very good.

Thanks so much! Geographically my first choice would be to stay in the Bay Area, but I'm also totally happy with states like Minnesota/Michigan/Wisconsin/Illinois or going out on the East Coast. Given my preference for the Bay Area, is there anything I can do to strengthen my profile for Berkeley or Stanford? It's totally fine if those two schools are way out of reach for me given my profile, I'm just trying to understand where I stand.

Hey guys, I'm currently wrapping up my undergrad and I was thinking about applying to some stats MS/PhD programs in a year or so after I do some traveling but I'm not sure how to gauge my chances. I don't have much knowledge on what these MS/Ph.D. programs are looking so I was hoping you guys could share some insight. I've also scheduled a meeting with my advisor soon to learn more. Undergrad Institution: University of California, Berkeley Majors: B.S. Mathematics & Statistics Minors: Computer Science, Data Science GPA: 3.77/4.00 Type of Student: Domestic Male GRE General Test: Q: 170 V: 169W: 5GRE Subject Test in Mathematics:M: 87% Programs Applying: Statistics Research Experience: Two research positions in AI/ML labs under well-known CS researchers. 1 research position in applied statistics under UCB professor Awards/Honors/Recognitions: Some awards/honors related to athletics and my fraternity but nothing relevant. Pertinent Activities or Jobs: 1 ML internship at a startup, 1 SWE internship at a big tech company (Google/Facebook/Amazon/Microsoft), 1 internship as a quant researcher at a quantitative trading firm. I also have my own sports analytics blog. Lots of personal CS projects. Letters of Recommendation: 2 from well-known ML/AI researchers at Berkeley, 1 from stats professor I've been doing research for, 1 from stats professor who taught my grad level probability theory class. All should be pretty good. Relevant Grades: Single Variable Calculus, Multivariable Calculus, Linear Algebra & Differential Equations, Proof-based Linear Algebra, Real Analysis, Numerical Analysis, Concepts of Probability, Mathematical Models for Optimization, Stochastic Processes, Introduction to Time Series, Probability Theory (Grad-level Class), Introduction to Data Science, Principles & Techniques of Data Science, Algorithms, Artificial Intelligence, Machine Learning (Grad level class taught as an undergrad upper div at Cal) A's in all except A- in Numerical Analysis, Mathematical Models for Optimization, Machine Learning, Algorithms, Introduction to Data Science Coding Skills: Python, Java, C++, R PhD's programs I'm thinking of applying to: Stanford, Berk, UW, Michigan (I will add more reaches and safeties as I research departments more) Masters Programs: Stanford, Berkeley My main concerns are whether or not my math background is sufficient (I have no clue how much math these programs like to see), if my lack of dedicated stats research experience will hinder me and if my lack of pertinent honors tanks my chances at top programs. Any recommendations on where else I should apply to are greatly appreciated too! Thanks so much for reading this!