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jjjbt1954

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Everything posted by jjjbt1954

  1. It depends on what school you are applying to. The top 30 schools not only favor the applicants to have completed the lower division linear algebra, but also proof based linear algebra (upper division) and at least a course in real analysis. Getting a high GPA in a less known university is a disadvantage because they don't know how rigorous the program is. Stats classes (at least at UCLA) tend to be much easier than Math, they are not easy, but easier than Math classes. Most math majors at UCLA can easily ace the stats courses while struggling in math courses, so doing good in Math looks better than doing good in Stats and bad in Math. But you can try to take the two classes I mentioned and as many more as you can to prove your math skills, and try your best on GRE. Good luck!
  2. No, with that score and your grades, absolutely not.
  3. Thank you for your time. I actually hope that I can get in UCLA, then UCSD and UCR. I don't know if its worth it to go to UCD or UCSB instead of UCR if I don't get in UCLA or UCSD. About the GRE, thank you, yeah i studied like crazily since the Fall (taking 4 classes) then the whole winter break.
  4. Dear all, the followings are my numbers, do you guys know what schools in California would likely to accept me? UCLA Applied Math major, GPA 3.86, major GPA: 3.84 GRE 158v 163q 3.5aw
  5. I honestly feel like I am so lost in this process. I have not even picked my area of interest, is that important for master programs? If the school doesn't have any professor in that area, what happens? I am not a native speaker so when I took the GRE I scored really really bad on English part and just so so in quantitative. I took it in the summer before my third year. Please take a look and give me advice about anything! I don't have any internship or research experience. V141 Q159 W3.5 Undergraduate: UCLA Major: Applied Math Minor: Statistics GPA: 3.818 Major : 3.842 Upper div Math/ Stat: Linear Algebra I (A), Real Analysis I (B+), Complex Analysis (A-), Mathematical Modeling (A-), Mathematical Methods (A), Intro. Probability (A), Linear Regression (A), Computational Statistics (A+), and many more math/stat classes to take. Schools will apply: UCLA, UCSD, UCI, UCR, Cal Poly Pomona, Calstate Fullerton, San Diego State University
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