ducky500

Hi, Stat PhD Now Postdoc Thanks for all the help. Your information has been really valuable. I have applied to both Phd in Stats and Operations Research. I think I will apply to University of Florida as well as they seem to have a lot of faculty working on topics related to stochastic processes after looking through their department website.

Thanks for the response. Do know by any chance any good Stat PhD Programs that are strong in applied probability models: stochastic processes and applications, markov chains, etc.. ? I've been struggling to find good programs in this field. Thanks.

If anyone is familiar with any three of these programs: Iowa State PhD Statistics, NC State PhD Statistics, and VA Tech PhD Statistics, could someone tell me their strengths and weaknesses as far as placement in terms of academia and industry. Do they have strong placements for Academia jobs (post-docs or Assistant Professor) and industry? My worries (perhaps wrongfully): NC State and Iowa State are not particularly known for having 'strong' name recognition. Do employers who are hiring statisticians know that both NC State and Iowa State have reputable statistics programs. Or would a person who attends any of these three schools be at a disadvantage to someone, for example, attends a PhD of Statistics at UCLA, even though UCLA is of 'lower' rank, as UCLA has more name recognition or 'prestige'. Are NC State and Iowa State, and Virginia Tech also recognized for academia or is that not the case. Thank you.

@StatHopeful Thanks that's reassuring.

@GoPackGo89 Thanks for the helpful advice. So just to be sure (I worry about these things), I wouldn't be at a disadvantage in the admissions process for the Biostats Phd at Unc Chapel Hill or Columbia, for example, with no biology courses taken during my undergraduate?

@speowi I did an independent study, one semester, with a professor on measure-theoretic probability and ergodic theory. I will have finished an expository paper written in LaTex by the end of the summer on Ergodic theory. I'm not sure if such a paper can be published, so we will see what happens with that. I will additionally be doing an independent study with a professor in the fall on a topic on functional analysis in relation to probability (exact topic is currently to be decided, I will find out exactly what it is soon) Additionally, I was a research assistant for a professor for an entire school year, both fall and spring, and also extending into the summer, in which I gathered extensive raw data relevant to the professor's research (gathered the data for the large dataset), organized the data, and used GGplot to create about 7 figures or graphs, which the professor used in his research paper and presented at a conference (I did not have coauthor or anything like that). Additionally, I was a research assistant over the summer where I put together data for a large data set in the economics department. I've also done independent coding projects. I will take the general GRE next month and will most likely not be taking the GRE math subject test. I believe the GRE Math subject test is only needed for Stanford and is recommended for several other schools. Thank you. With this information in mind, is it possible to give me a clearer picture what my chances are at different ranges of schools? Thanks again!

@Bayesian1701 Thank you very much for the helpful reply. I was thinking of applying in addition to statistics programs, 1-2 biostatistics programs. Is this a bad idea if I haven't taken a biology course during undergrad/ have not done research related to biostatistics. I have looked at several biostatistics programs, Penn biostatistics for example, and they don't list biology courses as prerequisites for admission. I was wondering your thoughts on this. Thanks again.

Thanks very much for the reply. I haven't taken the GRE yet, but signed up for next month (which is why I didn't put the score). I'm interested in doing research in probability or high-dimensional statistics.

Hello everyone, I will be applying to Stats Phd Programs and was inquiring if someone could help me figure out what range of schools I should apply to in terms of Competitiveness. Here's my profile (I don't want to give too much personal information (i.e. I don't give too much information for example on research projects) , but here's what my profile generally looks like: Undergrad Institution: Top 20 US News (according to UsNews) private university Major(s): Mathematics GPA: 3.9 Type of Student: Domestic US Student Programs Applying: PhD in Statistics Research Experience: Different projects involving R, independent studies with professors on theoretical graduate level topics. Letters of Recommendation: Should be good Math and Statistics Courses (Grades A or A-): Real Analysis I, Real Analysis II (with an introduction to Measure Theory), Abstract Algebra(Groups, rings, fields), Complex Analysis, Probability Theory, Mathematical Statistics, Graduate Level Numerical Analysis (with proofs, emphasis on analysis and normed vector spaces), Linear Algebra and Diff Eq, Calc I-III. Will be taking several additional graduate courses, fall semester senior year. Concerns: I'm not sure what range of schools I should apply to. I know it is very difficult to get into Phd programs. I'm having trouble creating a list of places to apply to. I don't want my list to be too conservative nor do I want my list to be too top heavy. What programs do I have a realistic shot of getting into? Thanks so much for the help.