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I got an acceptance from Baylor this morning! Deadline is February 26th since first year students start in July, so I'm hoping to hear back from other schools before then. Funding is $20,700/9 months, and they also offered an additional $7k fellowship for the first year for having a "strong application".

Looking at the 2020 results page makes me think there should be a wave coming sometime within the next 2 weeks or so, possibly starting sometime next week.

CSU Stats offered me a 9 month stipend of $2050/mo, which adds up to $18450 for 9 months. I'm assuming this is on the fairly low end, as I remember looking through past admissions over the years and seeing most stipends around $20-24k+ or so, depending heavily on location. It also appears that many schools require you to pay somewhat large student fees each academic year (over $2k/year at CSU), so that's something to keep in mind.

Most schools allow you to submit an updated transcript after their deadlines. I submitted all of my applications last November (even though most deadlines weren't until this month, although some deadlines were in December), and then at the end of December I was able to go back in and upload/email my updated transcripts.

Thanks for the input. I'm definitely considering the offer, although I will wait to see what other offers come in within the next month or so before making any decisions. I'm assuming other decisions should be coming within the next two weeks or so, so I'm not too concerned yet at this point.

I received my first acceptance today from Colorado State (Stat PhD) with a teaching assistantship offer! They specify in the email that I should notify them by February 22nd if I want to accept the offer. This seems very early...do they not follow the April 15th deadline that most other universities seem to have?

At the beginning of the year, I wanted to start doing research but didn't really know how to go about finding a professor who I could work with. I ended up just talking to all of my professors a lot during office hours about research projects and other things related to statistics. Whenever I asked them how I could get involved in research, I generally got the same answer: "Do really well in class, go to office hours, show you're interested, and you'll have opportunities". That's basically what I did, and by the end of that semester I had a professor who offered to bring me on to a project he was working on. So, I've been working with him for the past 6-7 months or so. At least at my department, there are always professors that have funding for students who are interested in doing research. It's mostly a matter of talking to them, making a connection, and showing you're interested and capable, even if you don't have a lot of experience or coursework related to the specific projects they're working on. If a professor you make a connection with doesn't have any funding or room for you on current projects, I'm sure many of them would gladly recommend you to other professors in the department who you could possibly work on different projects with. This is all from my limited experience, but I would imagine that it applies to most departments.

I see what you're saying, it would definitely be advantageous to have analysis on my transcript already. Sadly, I didn't start looking into applying to PhD programs until earlier this year so I didn't have as much time to prepare as I would have liked. Does this still apply? I figured since most of the schools on the list above are outside the top 20 that I would have a decent shot at them, especially since I'll have taken analysis before graduating. Perhaps it would be more reasonable to swap out UT, Ohio State, and FSU with Baylor, South Carolina, and Vanderbilt (or a similarly ranked biostat program)?

Hi everyone, sorry to post again, but I wanted to ask one last time: How realistic is my list of schools, and should I should apply to more safeties? As a brief update to my profile, below are some things that have changed since I first posted my profile: Calc 3 (A), Currently enrolled in Fundamentals of Mathematics (proofs) and a bunch of stat classes. Taking Real Analysis next semester. Been doing research with Bayesian statistics since June, hopefully submitting a publication soon, but probably not before application deadlines. Took GRE and scored 162Q 158V 5.5AWA. Nearly half of the schools I'm applying to (like A&M, Rice, and UT-Austin) aren't requiring the GRE for applications this season, so I was wondering if I would have a better chance at those schools now since my GRE seems to be my weak point (aside from not having taken Real Analysis yet). Schools applying to (all Stat PhD): Reach: Texas A&MTarget: UT - Austin, Rice, UIUC, Ohio StateSafety: Mizzou, Colorado State, Florida State Any input would be greatly appreciated.

Thanks for the input everyone, that's helpful. I'll take the GRE again. Assuming I score somewhere between at least 163-165, how does my list of schools look? And are there other good Bayesian programs I could target that I haven't included (and that aren't in California)? Either Stat or Biostat.

Just to get some further advice, I finished Calc 3 with an A this summer, and will be taking Fundamentals of Mathematics (proofs) and a few 400-level stat classes this Fall. In January I'll start my Theory of Analysis 1 class (so the grade in that class will not be able to be reported on applications). I retook the GRE, but my Q score is still stuck at 160 (even though I was getting 165+ on practices). Should I retake the GRE, or will my GPA and other criteria be enough to compensate? I'm not exactly a fan of standardized testing but I'll retake it if it'll affect my chances that much (especially for A&M, which is by far my top choice). Here's a revised list of schools I'm considering applying to (all Stat PhD unless noted): Texas A&M UT - Austin UIUC Rice Mizzou Florida State Baylor Duke (Biostat PhD)

Thanks, that's helpful. I'm not sure why I did so poorly on the quantitative section of the GRE, so hopefully I'll be able to improve it a decent amount when I take it again in August. Since I will just be starting my Theory of Analysis class by the time applications are due, do you think that will affect my application, or will they basically assume I will perform well based on past performance in other classes? I'm guessing it's something I should probably just address in my SoP's.

Thanks for your reply! That makes sense. However, I will be applying to programs at the same time that I'll be taking my analysis course. Do you think that would be a big deal when it comes to admissions? Also, I have looked into some biostatistics programs but not much. I'll be sure to do some more research on those. Thanks for the suggestions!

I will be a senior this upcoming semester and am trying to finalize where I will apply (and where I have a decent chance of getting accepted) for Stats PhD programs (open possibly to Biostats as well). I'm mostly interested in doing research in bayesian statistics / machine learning, but that could change. Thanks for your input! Undergrad Institution: mid-sized private school (~ top 100 math department) Major(s): Statistics Minor(s): Math GPA: Current 4.0 Type of Student: Domestic male GRE General Test: Q:160 (I'm retaking the GRE in August to hopefully get around the 165+ range) V: 157 W: 5.0 Applying to: Statistics PhD Research Experience: will be doing research beginning in a week with a Stats professor using bayesian methods, working with environmental data. Will continue doing research for the remainder of my undergrad education. Letters of Recommendation: Nobody super well known, but 2 strong ones (1 from research I'll be doing with him) and 1 decent one Math/Statistics Grades: Calc 1-2 (A), Probability and Inference 1 (A), Probability and Inference 2 (A), Regression (A), Intro & Applied R Programming (A), SAS programming (A), Linear Algebra (A), Linux/Unix Shell programming (A), Intro to Python (A), Analysis of Variance (A), Planning on taking: Calc 3 (taking this summer, should get an A), Fundamentals of Mathematics(proofs, taking this fall), Theory of Analysis 1 (taking after this upcoming semester), Bayesian Statistics (this fall), Data science methods (this fall) Planning on Applying to: Texas A&M (I'm probably reaching for this one), University of Missouri, University of Georgia, Florida State University, Arizona State University What are my chances of getting into some of these schools, and what are some other schools I should look at? Thanks for your help!