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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.