Hi everyone,
I finished undergrad in Spring 2018, have been working in consulting for 2 years and am looking to enroll in either a masters or PhD program in Biostatistics. I would prefer the PhD route upfront in the interest of funding. I've been preparing for the last year or so, and I would appreciate some more guidance on setting expectations and moving forward. My math courses are a little light, but I did have exposure to some statistics applications in finance/econ courses. I studied chemistry my first two years of undergrad and have some background in medicine / public health from those days, which I've addressed in my SOP when relevant.
Type of Student: Domestic male
Undergrad Institution: top 50 university (USNWR) Major: Finance GPA: 3.88 GRE General Test:
Q: 166 V: 167 W: 4.0
Research Experience: None
Letters of Recommendation: Two from finance professors, should be solid. One from a director at my company with whom I've worked closely and performed well.
Math/Related Grades: Calc II (A), Predictive Modeling and Optimization (A), Financial Modeling (B+), Econometrics (A), Calc III (B), Linear Algebra (A), taking Diff Eq this fall.
Programming: I have background in R from taking econometrics.
Planned Applications: UCLA (MS), UC Berkeley (MS), University of Wisconsin-Madison (PhD), Boston University (PhD), Emory University (PhD), Columbia University (PhD)
I realize a course in real analysis and/or probability would help a good bit. Unfortunately, one or two classes a semester is the most I can manage with my current job. If I'm not admitted, I am fine to re-apply for Fall 2022 admission and use the year to further strengthen my app. Any recommendations on programs or other advice is very helpful. Thank you!