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</html>";s:4:"text";s:5028:"Graduates with a double major in math and accounting will have a broad range of skills and knowledge needed for a number of... An admission advisor from each school can provide more info about: Get Started with University of Louisville, Get Started with Mississippi State University, Get Started with University of North Carolina at Charlotte, Get Started with University of Colorado Denver, Get Started with University of Colorado Boulder, Get Started with University of Alabama in Huntsville. What is the consistency strength of this large cardinal? One other thing I would like to ask about is: is there any pros/cons to an "OR" degree over a "Statistics" degree? There's sometimes a fear that a statistician would be unlikely to talk much with other math department members, or might be unwilling or unable to teach anything but statistics. What Kind of Math Is on the HESI Entrance Exam? For example, for some time I was very interested in Financial Mathematics, but then realized that this may limit my career options to the finance industry. One concern is that an applied math program may force you through coursework which you may not be interested in and have no use for. By statistical expertise I mean the understanding of randomness, like you mentioned in your post, as well as the underlying mathematical maturity. I have done a Mathematics research project with a faculty member, which resulted in a co-authored paper being refereed. What are the differences between a PhD in Statistics and a PhD in Applied Math? Attend a master programme/PhD that you like, above all, and that is broad - mathematics, physics or the like - without focusing too much on the name. As long as I get to work on interesting problems, using data science as a tool, and make independent discoveries as contribution, I would be happy. By You do not have to break the bank to get a degree. If you talk only to statisticians, it will be less clear. As @Vietnhi notes, there are three key ingredients for becoming a good Data Scientist: (See also Drew Conway's Data Science Venn Diagram, which I posted and discussed here). Asking for help, clarification, or responding to other answers. You need to be a member in order to leave a comment. The first issue is that you need to make the mathematical content of your work very clear, for example by publishing in journals that could be considered both math journals and statistics journals (e.g., IMS journals). I really appreciate your thoughts, I just have a couple followup questions/thoughts. If you are interested in applying mathematical tools from geometry and topology to statistics/ML and there are more faculty working on this at UW than at Princeton -- and said faculty are also publishing in top journals (like Annals of Statistics, Annals of Applied Probability, JASA, JRSS-B, Biometrika, IEEE Transactions, etc.) “Question closed” notifications experiment results and graduation, MAINTENANCE WARNING: Possible downtime early morning Dec 2/4/9 UTC (8:30PM…, Pure vs Applied maths, and combinatorics, in American universities, Master's and PhD at different Japanese universities. Do you think that is a relatively correct assessment? I've done a lot of research (before and after being accepted) on UW and found that there are a couple of people doing geometric/topological methods/foundations for data analysis (one of the big areas I'm interested in). PhD in Statistics degree programs train students in the theories and methodologies specific to statistics and generally take 4 to 5 years to complete. Common application materials for either program include transcripts, letters of recommendation/references, a resume or curriculum vitae, and a personal statement. Mathematics Professions Video: Career Options in Math and Statistics Field. Is there a formal name for a "wrong question"? Asking for help, clarification, or responding to other answers. (PhD). Given what you've said above, I understand a subfield such as topological data analysis (TDA) uses mathematical tools such as algebraic topology to then apply to data/statistics. But statistics is still mainly an inferential field (making predictions and estimating unknown parameters and functions from data), and the emphasis is not on the most fundamental objects (like the probability space itself or the random variables/collections of random variables themselves) like in probability theory. You can work in robotics, health care, the financial sector, aviation, technology and more — the possibilities are vast. Because you want to advance to the top of your field. Peter Xiao, who holds 8 U.S. patents and is engineering director at CISCO; Jie Yang, associate actuary at Humana, Inc.; Sowmya Muniswamy, assistant professor at the Rashtriya Vidyalaya College of Engineering in Bangalore, India; Jie Peng, assistant professor in the Department of Economics at St. Ambrose University; Haochun Zhang, quantitative analyst at Pittsburgh National Corporation; and. My planet has a long period orbit. 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