jayaos Posted January 22, 2018 Share Posted January 22, 2018 (edited) I am applying several graduate schools in US. Would it be hard to get admissions from any of the schools below? here is my profile Status : International / B.S degree in Industrial engineering in Top 10 school in my country / Currently working for National Army as an info/signal officer Research experience : 1. worked as a research intern in school laboratory for 8 months mainly conducting data analysis and R coding for data analysis. 2. Independent research in the lab about startup valuation. 3. Research interests : high-dimensional data analysis, statistical modeling CGPA : 3.33 / 4.0 Major GPA : 3.66/4.0 TOEFL : 103 GRE : V157/Q168/W3.0 V155/Q170/W4.0 LoR : one from academic advisor and lab professor(strong), one from applied stat/data analysis courses professor(strong), one from Operations research course professor(good) Relevant courses : Calculus1(C+) Probability and Statistics(B) Applied statistics(A) Quantitative analysis(A+) Data mining(A) Operations research(A+) Linear algebra(A+) Discrete Math(B+) Statistical Resasoning(B+) and other many courses provided in industrial engineering at least better than B+ grade And below is my school list-all masters Harvard(data science), Berkeley(Stat) , Michigan(Applied stat) , Purdue(stat) , UIUC(industrial eng-analytics) , GA tech(analytics) , Northwestern(analytics) UCLA(statistics) , Columbia(statistics), CMU(MISM BIDA) , Washington at seattle(industrial eng) , Johns hopkins (applied statistics), UC Davis(stat), UC Santa Barbara(stat), Duke(statistical science), Minnesota(stat), Florida State University(stat), Rutgers(stat) Concerns : low GPA and not good math/stat GPA, weak math/stat courses But strong GPA in upper major courses and data analysis courses and relevant research experience. Could I get admissions from those schools with this profile? I ll be waiting for your comments. Thank you. Edited January 22, 2018 by jayaos Link to comment Share on other sites More sharing options...
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