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Twooooooo

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  • Location
    Canada
  • Application Season
    2017 Fall
  • Program
    Statistics

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  1. Hi aria! Thanks for your reply! You really give me confidence. Thanks you MLHopeful for ur reply! I definitely agree with about the importance of English. I am working on improving my English now. But do I have to take GRE General test one more time recently? I am sure I can improve my writing if I have enough time to prepare.
  2. Thank you so much @arima. I checked those two universities. I am thinking of applying to Penn State statistics phd program. Is there any school in my list that is too top heavy? I am afraid some schools I listed are too hard for me to get in.
  3. I am a senior student now. I did my first two years in China and then transferred to the University of Toronto. Thus, I have no idea how strong my profile is. Any comments/suggestions/help would be appreciated. My profile is as follows. Thanks in advance! Undergrad Institution 2: University of Toronto (2015-2017) Major: Applied Math in Statistics GPA: 3.98/4.0(overall) Undergrad Institution 1: Top 15th Chinese University(2013-2015) Major: Statistics GPA: 86.23/100(Rank 1/29 ) Type of Student: International Assian Male Courses/ Background: Courses took in China: Analysis 1 A, Analysis 2 A, Analysis 3 A-, Algebra 1 A, Algebra 2 A+, Ordinary Differential Equation A+, Complex Analysis A+, Numerical Methods A+, Combinatorics A+, Mathmatical Modeling A+ Course took in the University of Toronto: Partial Differential Equation A+, Abstract Algebra A+, Probability and Statistics 1 A+, Probability and Statistics 2 A-, Method of Data Analysis A, Probability A+, Time-Series Analysis A+, Math and Statistics 1 A+ (Except partial differential equation, I got more than 95 in all other A+ courses.) I'm proficient in R and competent in Java and Python. GRE: 170Q(97%), 150V(47%), 3.0(17%) Math GRE Subject: 80% (I do not plan to submit it since it is very low.) Research Experience: Have been doing Conceft Algorithm(Which optimize Multitapering) with an assistant professor. Expected to publish a paper next year. Awards/Honors/Recognitions: Dean's List, TAship for first year calculus course. Pertinent Activities or Jobs: research assistant, Tutor, leader of multiple student orgs in China Letters of Recommendation: -One Statistics Associate Professor, I took his Math and statistics course and get the highest score in my class(Almost all students in that class are grad student.) He will write about my Real Analysis knowledge since I did not offcially take real analysis course. -One Statistics Professor in my statistical computation class. -One Math Assistant Professor I did research with. Already Applied: Harvard Applied Math (Master) Harvard Statistics (Master) UC Berkeley Statistics (Master) Thinking of applying to: University of Chicago Statistics (Master) Duke University Statistics(Master) Stanford ICME or Statistics (Master) Waterloo Statistics (Master) North Western University Statistics (Phd) Yale University Statistics (Phd) New York University Statistics (Phd) New York University Data Science (Phd) Cornell University Statistics (Phd) I have several questions. 1. In the last semester in China, I took Real Variable courses. It is very different from real analysis and I hated it. Thus, I planned to not care that course and take a real analysis course in the University of Toronto. However, they give a very low score in my transcript. Is that necessary to order another transcript without that course? I took real analysis in the University of Toronto. I did well in the midterm, but I dropped it because it has conflicts with another course. Should I mention this fact? 2. I did very bad on my GRE writing and verbal section. Do I have to redo it? I think I can do better if I have enought time. 3.I did very bad on my mGRE. Should I submit my score? I am afraid it will lower my chance to get into those universities. 4. What is my chance to get into those schools I listed? I wonder should I apply more safe schools? I planned to read one more year if I get all rejected. Thanks in Advance.
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