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tiop

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  1. Thanks for the feedback, I really appreciate it.
  2. Hello, i'm in undergrad at a small unknown liberal arts university. I'm planning on pursuing graduate school (applying next year), ideally a phd in statistics however i'd like to get opinions on my chances with my background / the best way forward. Unfortunately my undergrad school severely limits my options and i regret coming here but thats a different conversation. Type of Student: Domestic, White Male City College Major: Philosophy GPA: 3.3 Note: Dicked around in my early days wrecking my GPA but had straight A's the last couple semesters. Undergrad Institution: Small unknown liberal arts university Major: Mathematics and Computer Science (Very applied program, the list of required classes is small.) GPA: 3.8/3.9 Classes: All courses should be A's / A-'s with the exception of a B- in Calc I By the time I graduate I will have completed : Calculus(I, II, III), Real Analysis (directed study), Applied Differential Equations, Discrete Math, Linear Algebra (very elementary but i'm studying more in depth on the side), Multivariate Statistical Analysis, Programming(I, II), Databases, Introduction to Data Science, Data Structures, Efficient Algorithms. Programs Applying: Statistics, maybe Comp Sci GRE: Haven't taken yet. Research Experience: Going to start doing some research in applied logic with one of my professors soon. Main questions and concerns: My undergrad institution is not well known and is also not very rigorous. My city college gpa was fairly bad. I'm not sure I have enough proof based math exposure and I won't have taken any mathematical statistics courses or probability courses (other than MOOCs) by the time i graduate. One question i have is if studying for the math subject GRE could be any help in this regard. If i have a chance what types of schools should i be looking at? Should i be looking for thesis based masters programs that have funding as well? (If these exist?) Anyways thanks a lot for the suggestions.
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