### Chances of Math Graduate School (Any Advice is Greatly Appreciated!)

Posted:

**Mon Jul 31, 2023 12:51 pm**Hi all!

I'm working on my applications for an applied mathematics PhD for admissions Fall 2024 in either financial mathematics and mathematical modeling. I wanted some feedback on my chances and whether or not I should work full time for a year before applying (or even apply for a masters rather than PhD).

• University: Private Tech School

• Awards/Honors: Dean's List, Small Internship Awards, Business Honor Society (Top 10% of undergraduates), Math Honor Society (Top 30% of undergraduates)

• Major: B.S Mathematics, B.S. Quantitative Finance

• Minor: Computer Science

• Math GPA: 3.98

• Overall GPA: 3.97

• Research Experience: Working on 2 research theses, completed 3 academic projects with papers for all of them, and completed some research/mathematical modeling at my summer internships. No publications.

• Recommendations: 4, one is from the VP of the company I interned at for data sciences for two summers, my research advisor for my undergraduate thesis (he is also my academic advisor), a mathematician who publishes and goes to conferences often (I TAed real analysis under him and took two courses: topology and real analysis), and the last is from a computer science professor who I TAed under for 3 years now and knows me very well personally and my research/teaching capabilities.

• Teaching Experience: Worked as a TA for several different courses (differential geometry, real analysis, optimization, computer science)

• GRE Revised General Test: N/A (not planning to take since most programs are not accepted or optional)

• GRE Subject Test in Mathematics: going to take in September

• Coursework: Calc I, Calc II, Calc III, Probability & Statistics, Linear Algebra, Abstract Algebra, Real Analysis, Complex Analysis, Numerical Analysis, Discrete Mathematics, Differential Geometry, Differential Equations, Optimization, Proofs & Refutations, Topology I, Time Series Analysis, Stochastic Processes, Stochastic Calculus, Econometrics, Algorithms, Game Theory

I have taken 5 graduate level courses (4 finance related and 1 math related). I have also two senior research theses (one relating to quantitative research and the other relating to random walks on groups).

For reference my schools so far are:

Columbia University - Applied Mathematics

Carnegie Mellon - Mathematical Sciences

Princeton - Applied and Computational Mathematics

MIT - Pure and Applied Mathematics

Stanford - Mathematics

Yale - Applied Mathematics

Duke - Mathematics

Harvard - Applied Mathematics

UChicago - Computational and Applied Mathematics

Brown University - Applied Mathematics

Johns Hopkins - Applied Mathematics and Statistics

Caltech - Applied + Computational Mathematics

Cornell - Applied Mathematics

UC Berkeley - Applied Mathematics

UPenn - Applied and Computational Mathematics

Thank you for any advice or suggestions offered.

I'm working on my applications for an applied mathematics PhD for admissions Fall 2024 in either financial mathematics and mathematical modeling. I wanted some feedback on my chances and whether or not I should work full time for a year before applying (or even apply for a masters rather than PhD).

• University: Private Tech School

• Awards/Honors: Dean's List, Small Internship Awards, Business Honor Society (Top 10% of undergraduates), Math Honor Society (Top 30% of undergraduates)

• Major: B.S Mathematics, B.S. Quantitative Finance

• Minor: Computer Science

• Math GPA: 3.98

• Overall GPA: 3.97

• Research Experience: Working on 2 research theses, completed 3 academic projects with papers for all of them, and completed some research/mathematical modeling at my summer internships. No publications.

• Recommendations: 4, one is from the VP of the company I interned at for data sciences for two summers, my research advisor for my undergraduate thesis (he is also my academic advisor), a mathematician who publishes and goes to conferences often (I TAed real analysis under him and took two courses: topology and real analysis), and the last is from a computer science professor who I TAed under for 3 years now and knows me very well personally and my research/teaching capabilities.

• Teaching Experience: Worked as a TA for several different courses (differential geometry, real analysis, optimization, computer science)

• GRE Revised General Test: N/A (not planning to take since most programs are not accepted or optional)

• GRE Subject Test in Mathematics: going to take in September

• Coursework: Calc I, Calc II, Calc III, Probability & Statistics, Linear Algebra, Abstract Algebra, Real Analysis, Complex Analysis, Numerical Analysis, Discrete Mathematics, Differential Geometry, Differential Equations, Optimization, Proofs & Refutations, Topology I, Time Series Analysis, Stochastic Processes, Stochastic Calculus, Econometrics, Algorithms, Game Theory

I have taken 5 graduate level courses (4 finance related and 1 math related). I have also two senior research theses (one relating to quantitative research and the other relating to random walks on groups).

For reference my schools so far are:

Columbia University - Applied Mathematics

Carnegie Mellon - Mathematical Sciences

Princeton - Applied and Computational Mathematics

MIT - Pure and Applied Mathematics

Stanford - Mathematics

Yale - Applied Mathematics

Duke - Mathematics

Harvard - Applied Mathematics

UChicago - Computational and Applied Mathematics

Brown University - Applied Mathematics

Johns Hopkins - Applied Mathematics and Statistics

Caltech - Applied + Computational Mathematics

Cornell - Applied Mathematics

UC Berkeley - Applied Mathematics

UPenn - Applied and Computational Mathematics

Thank you for any advice or suggestions offered.