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About MathMajor

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    2019 Fall

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  1. Can someone please share their understand of Michigan Biostat's MS to PhD fast-track program? From what I can tell it is equivalent to being accepted directly into a PhD program at other schools straight from undergrad since you are still required to take the MS classes during your 1st year at those schools. Do you receive less funding as a MS to PhD fast track student than a traditional PhD student? Are you almost guaranteed to become a PhD student at UMich after completing the track?
  2. I really don't know anything about their stat program. Maybe someone else can shed some light on that. Sorry.
  3. As @Robatum1030 already answered, you need additional math coursework such as Calculus II/III and Linear Algebra to get into a stats masters. Once you take those classes, I think you have a good shot at getting into a decent MA program.
  4. Vanderbilt Biostat's visit day is also on the 22nd. I don't think they have sent out invites though.
  5. Looking at last year's limited data, it seems like they accepted a batch on 1/10/2018 and another on 1/17/2018. So I am thinking that maybe they will send out another batch of acceptances next week and hopefully we are included.
  6. Sorry to hear that; I am still waiting to hear from NCSU. Hope you get in somewhere else, we still have a long way to go!
  7. Got an Ohio State PhD acceptance today via email. Praise be! Funding info to be announced in the future.
  8. Do you have any experience with any programming languages (python, R, C++, Java, ect.)? If so, I would definitely go for research. If not, sometimes many of these REU's will teach you a programming language since you may be required to use a certain programming language in your project (assuming you are doing applied research). Thus, I think it is a good idea to go for REU's assuming that you do get in since they are very competitive. Taking CS courses can be your backup plan.
  9. I have the exact question as Conman315. I'm not sure whether or not to send in my Fall grades. If anyone can provide any input, it would be greatly appreciated.
  10. How in-depth should I talk about topics that I am potentially interested in? Can I just list a few topics without going into details? For example, is it sufficient for me to say, "I am potentially interested in topics such as machine learning, time series, and statistical genetics" somewhere in my SOP and leave it at that? Thanks for your response.
  11. I am currently in the process of writing a statement of purpose for statistics/biostatistics PhD programs and I am not certain what to write for my academic/research interest. I do not really know what my academic/research interests are. How do I elegantly say that I don't really know my academic interest while maintaining my competitiveness? Is it okay to just state that I would like to spend my first two years as a graduate student exploring the field of stat/biostat then deciding on an area? Or should I list some topics and say that I am potentially interested in these areas? I know that biostat is the field I want to get into but as a math major, I do not feel like I have the sufficient background and knowledge to definitively say what my research interests are. Any help would be greatly appreciated.
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