MrSergazinov

I think you definitely have a shot at most of the schools on your list. I applied last year, and my list was a lot like yours. The competition is high, but that should not discourage you. I am also an international male student, coming from a big public university. Indeed, my profile looked a lot like yours. At the end, I was able to get into five schools out of fifteen, I applied to. Actually, one of the five was my target school, so I consider my application cycle to be quite successful.

Yeah, I try to keep myself out of this forum and my inbox for the most part. However, each time I get an email I shudder

Okey, so I applied to 15 schools total and only heard from 4. I am 90% sure that it’s a rejection at this point as many have posted their admission results for these schools already. But I must say that this rollercoaster is terrible.

Same here... I saw bunch of acceptances to PhD in Statistics program today, but I personally have not been updated. I guess the only thing now is to wait. Good luck everyone!

I have looked at various options but still have not settled on anything particular. Looks like the average price is somewhere around $500 for a single bedroom. Is there anymore suggestions?

I have not heard anything yet... Good luck everyone! I hope you get where you want!

I’ve also got into OSU (Ohio State). Which one would you recommend for computational statistics?

Got rejected from UW Madison and accepted to TAMU, a bit unexpected.

Hi all! Just checking in with others. Already got one admission offer, but still waiting for the majority of programs to get back to me. Undergrad institution: large state school (top-100) Major: economics & mathematics GPA: 4.0 GRE: quant 167, verbal 163, essay 4.5 Research: honors research resulting in publication Schools applied: UNC, UW Madison, CMU, UPitt, Ohio State, UC Berkeley, Duke, TAMU, UT Austin, UC Irvine, UMich Ann Arbor Admitted: Ohio State

I want to thank all of you who found time to comment on my application. It seems like the consensus is that I should aim for top 30-50 schools with more emphasis on bigger state school like PennState or NCSU. Also, what I found surprising is that research experience may be slightly less important going into Stats/Math Phd than it is for CS/Physics PhD. For now, my list of schools looks like PennState, Ohio State, NCSU, Purdue, Pitt, UW Madison, UM Twin Cities, and UI Urbana Champagne. I will update the list when I get my GRE Math Score. As of now the plan seems to be in order of priority: Do my best to keep up the good work at school and retain high GPA Prepare well for GRE Math (I am not good at taking standardized tests really, but I will try to do my best anyways) Ask profs to write good and string rec letters Write personal statement highlighting some research experience that I had (personal research + unfinished research with prof) I will try to keep this thread up to date with my progress just in case somebody later on could find all this info useful. Maybe if I dont get in in the first round, I may even use these steps later on to reconsider my strategies in the second round (reapply after one year). Again thank you all for your advice.

Hi all! I have found the following link from Carnegie Mellon professor to be very sueful when evaluating myeslf: https://www.cs.cmu.edu/~harchol/gradschooltalk.pdf. The basic advise is that you should not apply to PhD unless you have a solid track of research experience. Unfortunately, I have not been able to engage in any serious research, besides my own forays into machine learning. However, I am still very interested in doing research at the PhD level (I pretty much know the topic I want to study: gradient boosting methods). So, I am still going to apply to see if I can get in.

Undergrad institution: big U.S. state school with decent math department Majors: Double Degree with BS in Math and BA in Econ GPA: 4.0 / 4.0 (both major and overall) Type of student: International (White male) Courses taken: Math: Basic: Calc I - III (A/A/A), Linear Algebra (A), Ordinary Differential Equations (A) Advanced: Abstract Linear Algebra (A), Abstract Algebra I - II (A/A), Mathematical Analysis I - II (A/A), Numerical Analysis (A), Intro to Partial Differential Equations (A), General Topology (A) Stats: Probability and Statistics (A), Mathematical Statistics (A), Stochastic Processes (graduate credit: A) Programming: College courses: CS Java course (A), CS Python course (A) Coursera online courses: C++ course, Algorithms and Data Structures, Machine Learning: Supervised/Unsupervised + intro to Hadoop/MapReduce/Spark Courses will take: Real Analysis (graduate credit), Mathematical Economics (graduate credit), Calculus of Variations (graduate credit), Differential Geometry Recommenders: Math professors, well-known in their respective areas, with whom I have good personal contacts Research experience: This is my weakest point, since I have not been able to do any particularly notable research as an undergrad. I applied and got accepted to REU this summer but could not attend due to family reasons. At the department level, I tried doing research with one of my professors in statistics, but he left soon after, so the paper was never finished. Work experience: Financial Analyst Intern (Summer 2018), Data Manager Intern (Summer 2019) Awards: Economics and Math Department Scholarships, President's Honor Roll for every semester GRE General: 157 (V), 167 (Q), 4.5 (AWA) GRE Math: Taking this fall School list: Need advice on where to apply. One of my friends suggested that I should apply to schools where my professors got their PhD's. But other than that I don't even know which tier to aim. My biggest concern is the lack of research experience. Masters is not an option, since I just can't afford it right now + I am on my national government grant.