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TrynnaDoStat

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Posts posted by TrynnaDoStat

  1. Do you have an advisor you could ask about the ranking thing? Or a connection in the industry? Basically, say "Would you be more likely to hire someone who graduated from a highly ranked program, or someone from a lower program with internship experience?"

    This is good advice, but I don't have connections in the industry. I could ask advisors/professors but I figure they would lean towards the theoretical programs because that's what they chose to do. I will still ask though.

    I think what makes going to a less "prestigious" school feel weird is that I worked very hard during undergrad and it makes me feel uncomfortable going to a less prestigious school than another school that I got into. Also, I talked to my Dad about this and I think he made a good point. He said no matter where you go you can make opportunities for yourself. For example, if I went to Michigan/Wisconsin I can still search for internships and design my coursework/research to have a more applicable tilt. However, if I go to NC State I can't change the prestige of the school.

    My gut is telling me, however, that if Duke doesn't work out then I should go to NC State. Hopefully I get into Duke, it will make things a lot simpler.

  2. I am compiling a spreadsheet with the intended purpose of assisting those who are applying to PhD programs in statistics and/or biostatistics. At the moment, I am working on listing the specialties of each program. This can be as general as Theoretical vs. Applied or something more specific such as Longitudinal Data Analysis. I am going to do my own research on which schools have which specialties, but I would like to hear from this forum as well.

    Of course, when the spreadsheet is completed, I would be more than happy to share it with the forum.

    Here are the schools I am interested in:

    Statistics

    Stanford

    Berkeley

    Harvard

    University of Chicago

    University of Washington

    Carnegie Mellon

    Duke

    NC State

    Texas A&M

    University of Pennsylvania

    University of Wisconsin

    University of Michigan

    University of Minnesota

    Iowa State University

    Pennsylvania State

    Columbia University

    Cornell

    Purdue

    UNC

    Ohio State

    UCLA

    University of Florida

    UC Davis

    University of Illinois - Urbana

    University of Iowa

    Biostatistics

    Harvard

    University of Washington

    Johns Hopkins

    UNC

    University of Michigan

    Berkeley

    University of Minnesota

    University of Wisconsin

    UCLA

    Columbia University

    Thanks. Any help is appreciated.

  3. Hypothetically speaking, lets say I took the math subject GRE and did well. Do you think I would have a realistic chance at Stanford?

    Back to the topic, what are the recommendations for schools if my goals is to go into industry. I saw the below in another thread from 2009 and wanted to know if others agree:

    Top theory-focused Programs: Stanford, Harvard, UChicago, UCBerkeley etc.

    Top Mixed Programs (strong in both theory/applied): UIUC, UMinn, UWisc, UMichigan, Texas AM, Florida, UNC Chappel Hill

    Top Applied Programs (generally not "highly ranked" but have excellent industry connections): NCSU, VTech

    I think what I want is a good "mixed program". Although I want to apply my statistical knowledge, I believe having a firm understanding of the theory is important if you want to be successful in your applications.

  4. Thanks for the reply. I do a good amount of work in my psychometric lab - let's just say that if/when our project gets published, other than my professor in the lab, I'll be the primary author. I needed a letter of recommendation for some of the internships I applied to this summer and when I hear back from the programs they always mention her glowing letter. So, I'm not too worried about her letter of recommendation. For the other letters, I was just going to get some of the professors I have had multiple classes with and whose office hours I frequent write the letters (the Stat department at my school is very small so it's pretty close knit). You suggest that I "try working with other professors and get to know them". How should I do this without actually getting involved in research? I feel as if I have a pretty heavy load with classes/research and that taking on more responsibility would wear myself too thin.

    It looks like the schools that require the math subject GRE are out of the picture, since I do not have the background required for the test. However, if several of the best statistics schools require such a background (by virtue of requiring the subject test), I am worried that my background is not mathematical enough and that perhaps I should stop taking so many stat classes and take math classes instead.

    I don't know what my area of interest is in. I do like the theory of statistics, but I do not want to work as a professor. On the applied side, I am really enjoying my longitudinal data analysis class so far.

  5. Hello everyone. I am new to this forum and signed up because I would like advice on which statistics programs best fit my goals and which of the top programs I could realistically get into. My goal is to get a PhD in statistics and work in industry after graduation. Although Stanford is known to be more theoretical, I would still like to know what you all think my chances of getting in their would be. The #1 ranking of Stanford and it's beautiful location really makes me want to go there.

    Here is my information:

    Undergraduate School: ranking is in the 20-25 range of all undergraduate schools in the US.

    Year: Junior

    Overall GPA: 3.8

    Math/Stat GPA: 3.95

    Classes (Grade): Calc I (AP Credit), Calc II (AP Credit), Calc III (A), Linear Algebra (B+), Business Statistics (A), Into to Mathematical Probability (A), Intro to Mathematical Statistics (A+), Applied Linear Models (A), SAS Programming (A), Basic Real Analysis (currently enrolled - probably will get an A), Mathematical Statistics - Graduate Level (currently enrolled - probably will be in the B+ to A range), Longitudinal Analysis - Graduate Level (currently enrolled - probably will get an A)

    Classes I am planning to take senior year: Stochastic Processes, Categorical Data Analysis - Graduate Level, Survival Analysis - Graduate Level.

    Classes I am considering taking senior year: Advanced Real Analysis - Graduate Level, Probability - Graduate Level. Any other recommendation for classes to take?

    GRE: 700 Q, 690 V. Obviously I need to retake this as my Q score is pretty bad. I plan on studying my ass off and getting an 800 the next time around. I know why my Q score was so low - I was too slow. If I work on my speed, getting a 780+ shouldn't be too difficult. The questions are not difficult - I am just too slow.

    Research Experience: I have been involved in a psychometric lab all throughout my junior year. We are currently working on a publication.

    Internship Experience: I had an internship at a government agency where I didn't really do anything (I don't even know why they paid me) and I have an internship at a consulting firm this summer.

    Letters of Recommendation: I can get a good letter from the professor I do research under and I plan on just getting the other letters from professors I have taken a few classes with.

    Thanks everyone. Any advice or suggestions would really help.

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