player-tracking-data

I have a MS in Biostatistics, but it was a very applied flavor with no Casella/Berger and no linear models/GLMs. Do you think this lack of foundation will hinder my application to this NYU Biostat program? By the time I apply, I will have 3-4 years of significant research experience at an academic lab.

My reason for doing a Biostatistics PhD is to receive a more formal and theoretical training in statistics so that I can apply to Research Scientist positions at universities/academic hospitals. I'm not interested in becoming a TT faculty, so I don't think the ranking/reputation of the PhD program really matters to me. However, I do want to do research, and I think having a PhD will open up more opportunities in research. And I would like to live in NYC and make connections with biostatisticians, computer scientists, and more within the city. Given these assumptions, would you think this program is a good fit?

Does anyone have insights into the Biostatistics PhD at the NYU Grossman School of Medicine’s Vilcek Institute? (https://med.nyu.edu/research/vilcek-institute-graduate-biomedical-sciences/phd-program/phd-training-programs/biostatistics). Note this program is different from the Biostatistics PhD offered at NYU School of Global Public Health (https://publichealth.nyu.edu/department/biostatistics). I'm quite interested in applying to this program, but their website contains barely any information and the curriculum seems pretty minimal. I'm wondering what graduates end up doing after this program. Thanks!

For departments like UW Biostatistics, UCLA Statistics, they have a diversity statement as part of the graduate school application. For UW MS in Biostatistics in Capstone, they list it as optional (https://www.biostat.washington.edu/apply/instructions#personalstatement), whereas for UCLA MS in Statistics, the graduate school application contains a diversity statement, but this department website (http://statistics.ucla.edu/graduate/applying-to-the-graduate-program/) doesn't list it. It only lists the Statement of Purpose. Please see below: I was wondering if you guys had submitted diversity statement to these schools? Honestly, I don't have much to write for diversity as I don't have much experience in this area.

I just took the GRE and got a 165 Q. Is this good enough for Stats Masters programs and PhD in Statistics/BioStatistics (outside USNWR top 20-30)

Based on those giving advice above and your courselist, I'd just apply for Masters in Statistics and take more Math/Stats classes in your MS then apply for a PhD.

From what I've read on this forum, you definitely should go for a Masters of Statistics if you want to do a Masters before a PhD. The applied classes you take in DS / Applied Statistics programs aren't really considered by admission committees for MS in Statistics. I've also heard that in industry, those with a Masters degree get stuck in the role of a "code monkey" where you just use R packages on datasets, whereas PhD graduates get the label of "statistician/data scientist".

Just to add on here, when applying to Masters of Applied Stats/Data Science, I imagine that you don't need to be concerned about a lack of research experience because you won't be doing any research during your Masters! The Applied Masters programs are for people who want to enter industry and thus aren't required to do any research. Also, I think you will get into a few top programs given your high GPA from a respectable school and work experience. Keep in mind that Masters of Applied X programs don't offer funding and will accept many who can fund themselves. On a side note, I'd recommend you look at Masters of Statistics programs too. The field of data science is rapidly evolving and what you learn in an Applied program, like learning to use R packages, Python packages, etc will definitely change in 5-10 years time. This is to say your education from an Applied DS program could become outdated in 10 years, whereas when you enroll in Statistics Masters programs, you are learning the theory, which is many years old and will always be valuable throughout your lifetime!

I'd highly recommend you post your stats (GPA, Classes taken, School, etc) if you wanna get a proper opinion.

Just posted my profile^^^

Hello, long-time lurker here. I'm a rising Senior and am going to apply to grad programs in the Fall. I just wanted to see what y'all though about my profile. Thanks! Undergrad Institution: Top 10 Statistics program (According to US News) Major(s): Statistics (Minor: Mathematics) GPA: 3.60 Type of Student: US Permanent Resident / Canadian citizen GRE General Test: Will take in the Fall Programs Applying: MS in Statistics / PhD in Statistics and Biostatistics Research Experience: REU in Educational Data Mining. Awards/Honors/Recognitions: Dean's list, RStudio Shiny Contest Award Pertinent Activities or Jobs: During a gap year, worked as a freelancing Data Scientist for 1 year / Technology Intern at healthcare companies / Bunch of side projects with data visualization in R and talks given about them (Relevant) Math/Statistics Grades: Calc I-III (A, A, A-), Differential equations (A-), two terms of linear algebra (A, A), one term of mathematical proofs (C), one term of real analysis (B), intro to probability(A), intro to statistical inference(A-), statistical computing(A), Intermediate topic in Statistics (A-), data visualization (ggplot2) (A), intro to programming (java) (B+) Currently taking Intro to ML class in the summer. Upcoming Fall: Applied Statistics (Experimental Design), Linear Analysis Applying to Where: University of British Columbia (MS in Statistics) Simon Fraser University (MS in Statistics) University of Washington (MS in Statistics) UCLA (PhD in Biostatistics) UC Irvine (PhD in Statistics) Vanderbilt (PhD in Biostatistics) Oregon State University (PhD in Statistics) University of Missouri-Columbia (PhD in Statistics) Iowa State University (PhD in Statistics) Colorado State University (PhD in Statistics) Remarks: During grad school, I'm only interested in researching spatiotemporal modeling, so I've compiled a list of schools with this research area and a professor doing this type of research. Please let me know if I'm missing any other schools that do research in spatiotemporal modeling

Okay I'll post my whole profile soon!

2. Here are the courses I've taken so far: Calc I-III, differential equations, two terms of linear algebra (applied topics), one term of mathematical proofs, one term of real analysis, intro to probability, intro to statistical inference, statistical computing, data visualization (ggplot2), intro to programming (java), intro to machine learning (I also go to a Top 10 Statistics school according to US News) Is this enough math for a PhD program in Biostatistics or Statistics?

Hello, I'll be a Senior applying to MS/PhD programs in the Fall. I was gonna take a light course load so I can focus on grad school applications...but it seems like I'll be taking Linear Analysis, Upper-Level Statistics (Experimental Design), and Real Analysis II Questions: 1) How much time should I devote to grad school applications in the Fall? Is it possible to write all the personal statements for schools I'm applying to in the summer and just submitting the applications in the Fall? 2) In Real Analysis I, I got a 3.0 cuz it was extremely challenging, and I'm not confident for Real Analysis II cuz....its just really hard lol. So, my question is..would grad schools be okay with a 3.0~3.5 in Real Analysis I and II? In all my other math/stats classes, I mostly have A- or A's but this real analysis is killing me. 3) Would it be better if I take all Math/Stats courses in the Fall so I can put them on my apps, instead of taking 1 writing class to fulfill my gen ed prereqs? Thanks,

I'll be applying to MS/ PhD programs in (Bio)Statistics programs this Fall and I've identified a few mid to low ranked schools that I'm unfamiliar with but have professors whose research fit mine. How should I contact these professors? Should I show interest in working with them and see what that leads to? I'm genuinely interested in the research these people do but want to learn more about my chances of being admitted, campus lifestyle, class requirements, stipends, etc. I also feel like this would make my application stand out.

Hello, I have the same research interest, so I PM'ed you!

Yep! Marie Auger-Méthé is a professor I'd like to work with. Oh I didn't know about Dan Simpson at U of T. Thanks for letting me know.

Thank you. I didn't know Bayesian methods were popular. I'll try to take many Bayesian courses.

Hello, long-time lurker here. I'm an Junior majoring in Statistics at a Top 5 Statistics department (according to US News). I've recently gotten interested in spatiotemporal modeling after doing a personal project in NBA (National Basketball League) Player Tracking data. (Hence my nickname) Since I have an average mathematical skills, I've been debating on whether to go for a PhD or not. I think I'll first apply for a Masters in Statistics and write a thesis there to see if I really want to pursue this field of spatiotemporal modeling. 1) I was wondering which schools / professors are the big names in this field of spatiotemporal modeling to get a grasp of which professors I'd want to work with. I did hear that Iowa State has a Stats dept with a spatial statistics focus, but which other schools in the US/Canada are there? What about University of British Columbia? 2) In my Senior year, what courses should I take to prepare myself for spatiotemporal modeling research? So far, I've taken Math Courses: -Calculus I, II, III, Differential Equations, Intro to Linear Algebra, A Second Course in Linear Algebra, Linear Analysis, Intro to Mathematical Proofs, Intro to Real Analysis Statistics Courses: - Probability, Statistical Inference, Statistical Computing and I will take a Intro to ML course in the summer! - Intro to CS Programming Thank you