confusedbear Posted May 15, 2020 Share Posted May 15, 2020 (edited) I'm finishing up my junior year as an undergrad and starting to think about what schools I should be applying to if I would like to do a PhD in statistics. I will also be asking my advisor for senior thesis as well once school starts back up again but I'd like to know honestly what you guys think. I'm planning on taking a gap year after undergrad to apply but I do want to start thinking about this now. Undergrad Institution: Berkeley (domestic) Undergrad Major: BA in Computer Science and Data Science GPA (Undergrad): 3.90, overall and major Relevant Courses: Calc 2/3 (A+, B+), Linear Algebra and Differential Equations (A+), Linear Algebra upper div (A), Discrete Math (A), Applied Probability Theory (A), Various algorithms/cs theory courses (all As), Machine Learning (A-), Various computer science courses (all A's), Data Science courses (A+, A-), Statistics (A). Will take real analysis, numerical analysis, optimization in senior year. (edited after feedback ) Research: I've done some work as an undergrad RA for some grad students here, but no papers or independent work yet Will write a senior thesis in applied statistics/data science I have not taken the GRE yet but have been studying and from my practice exams I'm expecting 165+ quantitative score and 160+ verbal. I have been TA-ing an undergrad math class. During my summers I have been doing software at a big tech company. I know my profile is not super competitive in terms of research which is the most important, but I'm beginning to realize that that is what I want to do rather than computer science-related things. I'm hoping my thesis will help prove that I like and can do independent research. That being said, knowing I have this weakness in my profile but otherwise good academics, I'd like to know honestly what range of schools I should consider applying to. Thanks! Edited May 15, 2020 by confusedbear Link to comment Share on other sites More sharing options...
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