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Found 6 results

  1. Hey Guys! I know we have a lot of experienced members here who see these kind of posts very often. Can someone please have a look on my following scenario and recommend some programs/schools that seem reasonable for my profile? Please help me out here and feel free to be brutally honest!! Program of Interest: MS Statistics (smth more inclined towards applications especially in data analytics) Undergrad Institution: #218 National University US News & World Report (a US public school) Major: BS Mathematics, Minor: Economics CGPA: 4.00/4.00 (Last 60 hours) Type of Student: International, Male Relevant Coursework: Calc I (A+), Calc II-III(B), Linear Algebra (A), Mathematical Statistics I-II (A+, A), Real Analysis I (A-), Intro to Proofs (A+), Econometric (A), Data Analytics Tools (in Python) (A), DBMS (A), Foundation of Algebra I (DG) (Not taking again), In progress (SP 2020): Eco and Business Forecasting, BI, Data Mining, Numerical Analysis, Mathematical Computing GRE scores (This is where I completely sucked :( : V/Q/AW: 141/159/3.00) Relevant Experience: Peer Tutor in Math & Stat for over a year in our department's tutoring center Computational Skills: Intermediate knowledge in R, Python, and MySQL. Thank you for your time and patience.
  2. I recently graduated with a BS in a natural science and a minor in stats. I believe I have most of the prereqs needed for Statistics MS programs: I've taken Calc I and II, Linear Algebra, and 4 stats classes. Calc 3 seems like the only major prereq I need to take, though I have seen programs suggest taking courses in calc-based probability and real analysis. I took Calc I about 4 years ago and got a C. I took Calc II three years ago and got a B+. I've barely touched calc since. The options I've considered are: 1) Review Calculus principles for a couple weeks before the semester starts and begin Calc III. Try to get a good grade and drop if necessary. 2) Retake Calc 1 this spring and take Calc 3 in the fall (maybe summer). An advantage to this plan is that some programs request you have at least a B for your prereqs, which I could do for Calc 1. Any thoughts are appreciated. Thank you.
  3. Hi, I'm an ivy grad who majored in Economics & Statistics, 3.7 cumulative GPA, 167 Quant/165 Verbal on GRE. I've been doing strategy for a big tech company the past 2 years and been functioning as the go-to analytics/data science person on the team. Now I want to make a full-on transition to data science (goal is to become a ds at a startup!) and am realizing that I need more training in math and statistics to thoroughly understand the stuff I'm doing. Data Science Masters at Stanford, Harvard, and Columbia are my top choices. I'm also considering Statistics masters as well, since I want to hone in on the modeling/statistical part of data science. Although I have a ton of projects and experience at my current job & Kaggle applying machine learning/statistics, I don't have any research experience. I took 2-3 machine learning/data mining courses and 4-5 econometrics classes in college, and plan to get 2 rec letters from each field. I also did an online certificate program from MIT in Big Data. Do you think I stand a chance for statistics masters or data science? Would also appreciate any and all tips on crafting out my SOP. I'm so much more used to writing professional resumes... Thank you!
  4. Hi everyone, This May I graduated with a sociology degree. My goal is to become a social science researcher. Because the field of social science research is going toward a quantitative direction, I plan to apply to applied statistics masters program this fall. After masters, I plan to work in the Industry for a few years, and then apply for a social science PhD. (economics, public policy, political science, sociology..). I will really appreciate it if you can give me some advice. Undergraduate Institution: Top 10 Liberal Arts College Majors: Sociology Minor: Statistics GPA: 3.73/4.0 Math/Statistics GPA: 3.82/4.0 Type of Student: International Asian Male Related Courses taken: Calc II (4.0/4.0) Calc III (3.7/4.0) Linear Algebra (3.7/4.0) Probability (3.7/4.0) Econometrics (using Stata) (3.3/4.0) Applied Multivariate Statistics Analysis (using R) (4.0/4.0) GRE General Test: V:165/Q:167/W:5 Research Experience: None in statistics or Math. Two summers of research assistant experience for a sociology professor (not quantitative). One year of teaching assistant experience for social theory courses. A conference presentation at 2019 American Sociological Association Annual Meeting. Working Experience: Research Assistant for a large social science research organization since this July. Working on projects that heavily involve quantitative analysis (Stata, R, SPSS, SAS...). Collaborating with senior researchers on a quantitative research paper for journal resubmission. Letters of Recommendation: Two from math/statistics professors (probability and Applied Multivariate Statistics Analysis) who told me that they will write strong letters of recommendation. For the third one, I am considering asking either my sociology advisor (who knows me very well and views me very highly in terms of social science potential. But he does not do quantitative work), or a senior researcher that I am working with on a quantitative project at work. Currently considering Masters programs: Berkeley statistics CMU statistical practice UNC Data Science and Analytics Wisconsin statistics Michigan applied statistics NCSU statistics Cornell applied statistics UCLA applied statistics Ohio State applied statistics Rice professional statistics Georgetown applied math and Statistics Also considering these masters programs: Columbia Quantitative methods in Social Science Chicago Computational Social Science Do I have a shot in getting into these programs? Should I apply to more lower-ranked programs? What are other statistics programs that would be a good fit for my level of background? Should I ask my sociology advisor from college or a senior researcher at work to write me the third letter of recommendation? Thank you!
  5. Based on some searching on here, I tried laying down some estimates for what GRE minimum scores are needed for the various schools that offer a Stats MS program. I was wondering if people could critique this list? Thanks! 159 Q minimum target score for unranked/very low ranked schools 161 Q minimum target score for the lower ranked USNWR schools 164 Q should be sufficient for most ranked schools 165 Q is a minimum target score for almost all of the ranked schools
  6. Hi everyone!! Recently I have been admitted to the Stat MS program at Stanford & U Chicago and am struggling. I will try to advance to PhD after MS, but I don't know which school will offer me a better chance? I heard that Chicago has a good PhD prep and many research opportunities. I am not sure how Stanford is. But Stanford Stat ranks higher than U Chicago... Chicago Pros: - Tuition reduction (25%) - Good preparation for PhD - More research opportunity Cons: - Not as well-known as Stanford - Location is not as good. Stanford University Pros: - 1st in the country - So many well-known professors, a potential for recommendation letters and research opportunities Cons: - Not sure about placements - A lot of MS students, not sure if the professors will be willing to offer research opportunities. - Maybe the PhD prep is not as good as that in Chicago.
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