I am looking forward to some advice on whether I should apply for some math PhD programs this year.
Type of undergrad: Foreign, BA in economics (how could I choose such a Fxxking ridiculous major...even if I want to do an econ PhD, a BA in math is far better, at least in my country).
GPA: 3.4
Math Grades: Abstract Algebra A-, Integration Theory A-
Cal I B+, Cal II A-, Linear Algebra A, Probability A.
Type of Grad: MS in STAT, large research U. In US NEWS it's Top 20 in Math and Stats.
GPA: 3.73
Math Grades: Measure-theory and Probability I, II (A, A), Topics in Probability (in progress), complex analysis (in progress)
GRE SUB: I expect it to be 75%-85%
GRE General: 93% Verbal, 92% Quantitative, 38% Analytic
TOEFL: Believed to be waived in most schools. 29+30+23+25 (R, L, S, W) respectively if they need it.
Research Experience: Econ Research? Does not count, I believe... Trying to do research on open problems in probability books. Unlikely to have results when applying.
And I attend CPSS this year as well as some departmental probability seminars. Still have to learn more to understand these lectures better.
Targets: If I can be enrolled in the current institution, I would be more than satisfied.
RLs: Likely to be all profs that have taught me a math course. Should be reasonably strong.
Also interested in: Washington, UCSD, Duke. I will definitely apply to some selected stat departments as well.
Concerns: I feel that I am not prepared fully for this cycle, so I am considering applying for Math and Stat department in my school only (There is one probability prof in the stat department). If failed, I will extend for a semester, get a master in math and add some courses/research experiences/ better GRE scores to my resume. Unfortunately I ran out of $$ so I will have to get an RA. I don't think there is anything as such in math/stat department so I will probably looking for quantitative social science projects. Time budget is a problem if I do this, though.