诺丁汉大学统计学专业-新东方前途出国

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    诺丁汉大学统计学专业

    2020-05-19
     The MSc Statistics is intended for students with a degree in mathematics (or a related subject with a substantial mathematical content). Some prior knowledge of statistics would be helpful to start the course. 

    The course is designed such that the module 'Fundamentals of Statistics' is either a pre or a co-requisite for all other modules offered in the course. You will study for 180 credits, split across 120 credits worth of taught modules and a 60-credit research project (Statistics Dissertation).

    Core

    Fundamentals of Statistics
    Statistics Dissertation

    Optional

    Group one

    You may choose a minimum of two of the following:

    Applied Multivariate Statistics
    Applied Statistical Modelling
    Stochastic Financial Modelling
    Time Series and Forecasting

    Group two

    And at least one from this group, but students may not take both Statistical Machine Learning and Data Analysis and Modelling.

    Computational Statistics
    Data Analysis and Modelling
    Statistical Machine Learning

    The above is a sample of the typical modules that we offer but is not intended to be construed and/or relied upon as a definitive list of the modules that will be available in any given year. This course page may be updated over the duration of the course, as modules may change due to developments in the curriculum or in the research interests of staff.

    Teaching methods and assessment

    The course is taught mostly through lectures, supported with smaller seminar groups which are used to revisit more complex topics.

    You will typically be assessed by an examination or coursework at the end of the semester in which a given module is taught. 

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