PGDip Statistics

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Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

Course Overview

This course has a strong theoretical and methodological component to supplement a focus on applications of statistics to real life scientific problems. You can opt to follow pathways in medical, pharmaceutical or environmental statistics, depending on your field of interest. Graduates tend to enter careers as practising statisticians, university research assistants or go on to study for a PhD.

For each pathway you will follow a set of compulsory modules covering core theory and methods, applied statistical modelling and practical skills in topics such as statistical computing, scientific writing, presentation and consultancy. You will also study optional modules tailored to your research interests and career aspirations.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Statistical Fundamentals I
  • Statistical Fundamentals II
  • Statistical Learning
  • Statistics in Practice
  • Clinical Trials
  • Computationally Intensive Methods
  • Extreme Value Theory
  • Methods for Missing Data
  • Modelling Multilevel and Longitudinal Data
  • Principles of Epidemiology
  • Survival and Event History Analysis
  • Time-Series
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    Use our magical AI system, to check your admission chances for this course.
    Offer response
    4 - 6 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs