Hi,
I'm planning to apply for a PhD in Statistics this year for 2021 fall,
I would really appreciate any advice.
Research Interests :
Haven't really decided yet, broadly over statistical learning and statistical theory
Undergraduate Institution: Best known in Korea
Major: Statistics
GPA:
Overall : 3.9/4.3 (3.79/4.0 converting A+ to 4.0 for 4.0 scale),
Major: 4.14/4.3 (3.97/4.0) (Excluding grad-level courses)
Type of Student: International Asian Male
Relevant Classes: Math Courses
- Differential and Integral Calculus 1,2 (A0/A+)
- Linear Algebra 1,2 (A+/A0)
- Introduction to Mathematical Analysis 1,2 (A+/A0)
- Differential Equations (A+)
- Modern Algebra (A+)
- Real Analysis (B0) ( Is this critical? )
Stat Courses
- Concepts and Applications in Probability (A+)
- Mathematical Statistics 1,2 (A+/A0)
- Regression Analysis (A+)
- Statistical Computing (A+)
- Sampling Design and Survey Practice (A0), Experimental Design (A-), Discrete Data Analysis (A0), Multivariate Data Analysis (A0), Bayesian Statistics (A+), Survival Data Analysis (A0), Computational Statistics (A0), Data Mining Methods (A+), Stochastic Processes (A-), Nonparametric Statistics(A+)
- Grad-level courses: Theory of Statistics 1,2(A0/A0), Probability Theory 1 (B+, I definitely did above median; i heard the grade was deflated this semester), Applied Statistics (A+), Deep Learning (Stat Dept, A0),
Other courses
- Game Theory(Econ Dept, A+), Optimization Models (IE Dept, A+)
I'm planning to take few more grad-level courses on computational statistics, statistical methods, spatial statistics next semester.
Test Scores :
GRE general : V 157 / Q 169 / A 4.0
GRE subject math : Planning to take this October, expecting (>90%)
TOEFL : 114 (R30/L30/S28/W26)
Research Experience: Not much, I started an undergrad lab intern this summer, participating in seminars, so no clear results. I hope I could get some results (even if subtle) next semester, but not expecting much.
Work Experience:
- Data Analyst Intern for 6 months at a Ad-Tech company for 6 months:
Worked on building ML models, learned python and sql; I think it's related with the field of statistics and it really motivated me to pursue a phd; definitely going to write about it at my SOP.
- Statistical Research Assistance at a Sociology Lab:
Working on analyzing survey data. Since it's in a completely different field, I don't really think it will affect my admission.
Honors: Received Presidential Scholarship for 8 semesters for undergrad
LOR : One from s stat professor of my undergrad lab intern, one from a stat professor i took few courses from, one from my ex-supervisor from the intern at the Ad-Tech company (He's currently a math professor at a different university).
Questions:
1. Do you think a B on Real Analysis will have a critical effect on my admission?
I think I have enough knowledge on measure theory needed for statistics, but I kinda messed up on the exams, and my grades aren't looking good... Even worse since I got a B+ on grad-level Probability Theory. Does my profile look like I don't have enough mathematical background on real analysis?
2. Do you think intern experience at an IT company can have any effect on the admission?
I've heard industrial experience don't really have any effect on the admission, especially for math and stat. I feel like the experience is important, since I learned a lot about ML theories and how to deal with real data; plus I'm getting a LOR (expecting it to be strong) from my previous supervisor.
3. Will having grad-level courses in advance positively affect my admission?
I think I should've took more math classes rather than grad courses, but it's too late anyways.
4. Do you think getting admission to top-30-ish programs (up to Yale I guess? based on US News) seem possible with this profile?
I'm seeing a lot of people around me with better grades, more research experience than me, and I'm kinda losing confidence everyday I think about it. Do you think I should apply to lower-ranked schools for safety?