Although I haven’t received all results, I think I will decide between Purdue and Ohio State. I am interested in spatial / spatio-temporal statistics and hope to go to academia in the future. Since PhD is a long training, I am also open to other research topics.
Here is some comparisons between the two programs, a lot of information is from "Trying to decide between Ohio State and Purdue" and "Stat PhD: UIUC vs Iowa State vs Purdue for Spatial/Bayesian". However, the former discussion was in 2015 and was mainly about computation finance, while the latter did not focus on Ohio State.
Purdue
- I am mainly interested in Prof. Hao Zhang and Prof. Tonglin Zhang's research in the department. While there is a spatial group list on Purdue's website, I think these two professor's research best fit to my interest.
- A little bit higher ranked (2018 US news: Purdue 27 vs OSU 37) and more prestigious, but the difference seems negligible?
- From current students, I heard that the department focuses a lot on the combination of CS or computation, but I am not very interested in this area.
- There are some negative past student perspectives about courses.
Ohio State
- I only found Professor Peter Craigmile doing research in spatial statistics, and I'm not sure whether this should be a concern. Ohio State was known for its spatial statistics group, but it seems that the group scale has reduced in recent years.
- 1 year Fellowship offer (no TA duties and pays slightly more)
- Since all students begin from master courses, the department has a structured course schedule. I had my undergrad in engineering and my master in Statistics, and I think such schedule may be helpful. However, OSU requires longer time to finish study and requires students to take two qualification exams.
There is no big difference for me to live in a small town or a big city, and both programs provide enough stipends for living. If anyone has thoughts on these schools or advice for me, I'd appreciate hearing it.