MSc Statistics

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Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
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4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Our Statistics MSc will provide you with the essential knowledge and skills relevant for a career as a professional statistician or researcher.

As the data we generate increases, so does the global demand for analysts who can apply modern statistical methods, to make sense of it. In-depth understanding and skills in statistical techniques have a broad range of applications in the modern world. Thanks to the more widespread use of data and statistical analysis required to interpret it, career opportunities for statisticians are expected to grow in areas including:

Course structure

You'll study two compulsory modules covering the fundamentals in statistics, which provide the basis for the remaining optional modules. These include, amongst others:

This course gives you the flexibility to tailor the degree to your interests and career aspirations.

You will develop advanced statistical skills and knowledge which will enable you to test theories, learn how to interpret large and complex data, and to extract relevant insights from it. The masters will enable you to develop computing skills in using R too.

In the summer you'll complete a dissertation. This will be in collaboration with staff from within the school, often led by experts from the internationally recognised Statistics and Probability section, or one of our industry partners such as Capital One.

This is highlighted in our commitment to attracting bright minds and inspiring academics to conduct mathematical research throughout the department.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Compulsory modules
  • Statistical Foundations
  • Classical and Bayesian Inference
  • Statistics Dissertation
  • Options modules
  • Applied Multivariate Statistics
  • Statistical Modelling
  • Stochastic Financial Modelling
  • Time Series and Forecasting
  • Computational Statistics
  • Mathematics Group Projects
  • Statistical Machine Learning
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    4 - 6 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs