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MSc Statistics

  • DeadlineStudy Details:

    MSc 1 year full-time

Course Description

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.

You’ll study a compulsory module covering the Fundamentals in Statistics. This provides the basis for the remaining optional modules. These include, amongst others:

  • Statistical Machine Learning
  • Computational Statistics
  • Applied Multivariate Analysis

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.

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

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Student Destinations

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

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

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

Previous graduates work as:

  • Data Analysts
  • Risk analysts
  • Senior Advisors

They work for organisations such as:

  • Everton Football Club
  • KPMG
  • Santander

97.5% of postgraduates from the School of Mathematical Sciences secured graduate level employment or further study within 15 months of graduation. The average annual salary for these graduates was £28,131.

Module Details

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 Learn

University of Nottingham Campus

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