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  • DeadlineStudy Details:

    MSc 1 year full-time

Masters Degree Description

​Our Statistics MSc will provide you with the essential knowledge and skills 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. On this course, you will develop specific techniques and skills that will enable you to make sense of and harness the power of data and statistics – from techniques in statistics and probability to advanced statistical inference and statistical modelling with machine learning.

​For your dissertation, you’ll apply your practical knowledge to solve an industry-relevant problem. With expert guidance from academics in our Statistics and Probability section or one of our industry partners such as Capital One, you’ll see how theory transforms into practice.

​With statisticians in high demand across a wide range of industries, you could go on to work in fields such as:

  • ​pharmaceuticals
  • ​finance
  • ​business analytics
  • ​healthcare
  • ​government policy
  • ​social media and technology

Entry Requirements

2:2 (or international equivalent) in mathematics or a closely related subject with substantial mathematical content

Some prior knowledge of statistics would be helpful but not essential to start the course.

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Fees

For fees and funding options, please visit website to find out more.

Student Destinations

Alongside their statistical knowledge, our graduates leave Nottingham with valuable skills in:

  • ​computing
  • ​logical thinking
  • ​problem-solving
  • ​data analysis and manipulation

​Statisticians are required to work in many sectors including banking, education, finance, healthcare, sport and transport.

Module Details

Core modules

  • Statistical Foundations
  • Statistics Dissertation
  • Advanced Statistical Inference20 credits
  • Statistical Modelling with Machine Learning20 credits
  • Bayesian Data Analysis20 credits

Optional modules

  • Applied Multivariate Statistics20 credits
  • Data Science for Structured Data20 credits
  • Neural Networks and AI20 credits
  • Computational Statistics
  • Statistical Machine Learning

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