buccsbandwagon Posted April 26, 2021 Share Posted April 26, 2021 Long story short: I started at a UC school as an engineering student and got failing grades my first year and dropped out. Eventually went back to college and got a BS from a for-profit school ("billboard" school; albeit getting good grades). However I got really into stats and data science on my own, and eventually applied and got into an MS in Statistics at a decent program. I was surprised by this but attributed it to my GRE scores and projects. I ended up doing very well (straight A's), got some research experience, and took extra courses in Data Science. I now want to apply to a PhD program but am unsure where to aim. I am assuming rank 1-20 programs are out of the question given the sheer number superior candidates, but was wondering if schools in the 20-50 schools are attainable given that I do well in Real Analysis. Just looking to optimize my target school list. Not that I have any room to be picky but my wife would probably veto any school not in a big city/coastal. Student Type: Domestic White Male Undergrad: For-Profit University Grad School: US News Rank 45-65 private school (East Coast). Stats program ranked similarly. Major: Environmental Science (undergrad), Statistics (grad) GPA: 3.91 (undergrad, non-cumulative), 4.0 (grad) Undergrad: Linear Algebra (A), Multivariable Calc (B+), Intro Stats (A), 5 Programming courses (A's) Grad Level: Probability Theory (A), Mathematical Statistics (A), Linear Models (A), Categorical Data Analysis (A), Applied Multivariate Analysis (A), Bayesian Analysis (A), Machine Learning (A), Computational Statistics (A), Data Mining (A), Time Series Analysis (A), Data Science (A), Statistical Deep Learning (PhD Level, A). Planning on taking a Real Analysis sequence next year. My guess that other than not going to a respectable undergrad and poor initial grades, my weakness is lack of high-level mathematics. GRE: 168 Q/ 168 V/ 5 W Research: 1 year of graduate level research in the Stochastic Modeling/Operations Research domain. Publications pending. Other Experience: DS/Stats internship with Government Agency, TA at my university. Lots of hands on experience with Python, R, and SAS. Letters of Recommendation: One from research advisor and two from Stats professors. One from research advisor will be very good. I would like to apply to Stats programs. I am not opposed to Biostatistics per-say, but I just don't have a lot of experience in that domain. My main areas of interest are in Statistical Learning, Operations Research, High Dimensional Data Analysis, and Outlier Analysis. I'm assuming that these are more suited for Stats programs, but not opposed to suggestions that are not strictly Statistics PhD programs. Link to comment Share on other sites More sharing options...
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