Undergrad Institution: Large T200 public school Major: Industrial Engineering GPA: >3.8 Type of Student: URM, domestic GRE General Test: Haven't taken it yet, but I don't anticipate that I will have any issue getting a 95th+ percentile math score.
Research Experience:
Did computational biophysics research with an engineering professor at my school for a year. No publication yet. I did make use of Python and MATLAB for basic tasks but it's largely unrelated to my field of interest.
Awards/Honors/Recognitions:
Research scholarship, dean's list every semester but one, likely summa cum laude, won a competition at a national conference (non-research related)
Letters of Recommendation:
I expect to have one great letter from my research mentor and another decent letter from a professor who I took a lot of upper-division classes with. I am also planning to begin another research project within the next few weeks (stochastic optimization) and hope to get an above-average letter from that professor as well.
Relevant Classes (all A's unless otherwise indicated):
Calculus I
Calculus II
Calculus III
Engineering Mathematics (diffeq + linalg combo, no proofs)
Discrete Mathematics
Probability & Statistics I
Probability & Statistics II
Linear Optimization (A-)
Stochastic Processes
Simulation (taking this fall)
Schools:
Some departments I'm interested in:
MS Statistics: UChicago, Columbia, Duke, UNC Chapel Hill, NCSU, UWashington, UIUC, Purdue, Northwestern, Georgia Tech, UCLA, TAMU
MS Operations Research: UT Austin, Columbia
MS Industrial Engineering: Berkeley, Columbia, Michigan, Georgia Tech, TAMU
Need some suggestions on which schools to apply to, as my list is pretty ambitious. My main concerns are a lack of relevant research/work experience as well as a weak math background compared to other stats applicants.