Hi, I just graduated college this past June, and I'm going to be applying to graduate statistics programs to begin in Fall 2020. Here is my profile.
Undergraduate Institution: University of Chicago
Majors: BS in Math, BA in Statistics
GPA: 3.87
Type of Student: Domestic Male
GRE General: 170 V (99%), 167 Q (90%), 4 W (57%) (I could also take and most likely do well on the Math GRE if it will help my app.)
Programs: MS/PhD in Statistics
Letters of Recommendation: This is a bit of a question mark for me. I will be asking professors who I've taken classes with. Two of these professors, I have developed relationships with by going to office hours. The third professor will not know me that well. Any advice on reaching out and developing a relationship with a professor (now that I've already graduated) is much appreciated!
Research Experience: Summer math REU after my freshman year, authored an expository paper related to probability.
Relevant Coursework: Real Analysis (three quarters, last of which covered measure theory), Linear Algebra, Probability, Statistical Theory and Methods, Abstract Algebra, Optimization, Numerical Analysis, Biostatistical Methods, Stochastic Processes, Algorithms, Complex Analysis, Regression Analysis
Programming: Took intro cs classes at my school and have proficiency in R from stat courses.
Work Experience: TA for calculus, TA for high school math program, statistics tutor for undergrads.
My big question is whether I should be applying for masters or phd programs. I am interested in more mathematical statistics, and I think I would like to continue to a PhD eventually. But I think it might be a good idea to do a Masters first to see whether I like and am capable of research, as well as to get better letters of recommendation. I appreciate any advice people have!