Peter Huynh Posted July 24, 2019 Posted July 24, 2019 (edited) Hello, I'm going to be a senior year student in statistics in the upcoming Fall, and I want to apply to PhD's in statistics. At this point, I think I want to focus on machine/deep learning. Some concerns with my application is that I have 1 withdraw in Linear Algebra due to stressful time, but I retake and got an A. Moreover, I got low GRE verbal score. Any feedback would be greatly appreciated! Undergrad Institution: Top 100 USNews PublicMajor(s): StatisticsMinor(s): Business Analysis, and EconomicsGPA: 3.54 Type of Student: Asian (International Application) GRE General Test: 165Q/140V/3AWA Research Experience: - Statistic research competition (not in top 5) but received research award - Currently doing statistics research currently work on and hopefully can get public or presentation in December 2019. - Consulting statistics research work for Department of Neuroscience (Graduate course level). - Research in with professor in Economics (clean, and gather data, nothing special). - Presentation with a statistic paper at Undergraduate Workshop (The Statistical and Applied Mathematics Sciences Institute)Awards/Honors/Recognitions: Top 5 students received award from department of mathematics and statistics since freshman Pertinent Activities or Jobs: Grader 1 semester in freshman for Abstract Math, 2 years tutoring Letters of Recommendation: One professor undergraduate program director (not attending in her class but work close with her since freshman) , the statistic professor I'm currently doing research, and one professor I had taken his course (graduate course). They should be goodUndergraduate Courses: Probability and statistics I, II(A, B+), Linear Algebra (W, retake A), Mathematics Statistics I (A-), Calc 3 (A-), Different Equation (A), Introduce to Analysis (B-), will take Applied Statistics I II in senior years Graduate Courses: Mathematics Statistics II (A), Applied Bayesian class (B), Stochastic Processes (B), Advanced R and SAS class (A), will take Topic in Applied Statistics (Survey Sampling), Machine Learning, Applied Linear Algebra, and Nonparametric Statistics. Software: R (3 years), Python, SQL, Tableau, LaTex, C++. Program: PhD in Statistics, and MS in Statistics School List Any feedback is much appreciated Edited July 24, 2019 by Peter Huynh
bayessays Posted July 24, 2019 Posted July 24, 2019 Your B- in analysis and your GRE verbal score are going to kill your application. Competition for international students is intense and I don't really see a clear path to you getting a PhD. If you are sure you want to get a PhD, my only thought would be to try to get into a low ranked master's at a somewhat reputable school, retake analysis, get a near 4.0, and improve your English so you can do better on the GRE but it's going to be an uphill battle. Peter Huynh 1
Peter Huynh Posted July 24, 2019 Author Posted July 24, 2019 49 minutes ago, bayessays said: Your B- in analysis and your GRE verbal score are going to kill your application. Competition for international students is intense and I don't really see a clear path to you getting a PhD. If you are sure you want to get a PhD, my only thought would be to try to get into a low ranked master's at a somewhat reputable school, retake analysis, get a near 4.0, and improve your English so you can do better on the GRE but it's going to be an uphill battle. Thank you for your information! I wonder between retake Introduce to Analysis (I took this class when I was sophomore) and Advance Cal I (real analysis I), which option is better? Thanks
bayessays Posted July 24, 2019 Posted July 24, 2019 Some schools ask for the textbooks you use, so taking a harder class and doing well will help you.
omicrontrabb Posted July 24, 2019 Posted July 24, 2019 @Peter Huynh I will say that withdrawing from a class and retaking it doesn’t seem to affect your application that much. I also withdrew from linear algebra, retook it for an A and was then accepted into some top 10 PhD programs. However, that’s mainly besides the point for the reasons mentioned above by others. Peter Huynh 1
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