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Masters Degrees in Statistics Worldwide

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Mathematical and Statistical Sciences MSc, PhD

University of Alberta Canada

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Graduate Certificate in Statistical Programming GradCert

Western Sydney University Australia

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Statistics MSc, PhD

University of Kent United Kingdom

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Applied Analytics MSc

Columbia University, School of Professional Studies United States

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Business Analytics MSc

The University of Edinburgh Business School United Kingdom

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Epidemiology Master

University of Antwerp Belgium

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Statistics MSc

University of Sheffield United Kingdom

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Master of Statistics MSt

The University of Hong Kong Hong Kong

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Mathematics and Statistics MSc, PhD

University of Windsor Canada

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Mathematics and Statistics MSc

University of Helsinki Finland

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Statistics MSc

Zhejiang Gongshang University China

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Applied Statistics MSc

University of Strathclyde United Kingdom

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Statistics MSc, PG Dip, MSc(Res)

University of Manchester United Kingdom

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Statistics MPhil

University of Ghana Ghana

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Master of Applied Statistics Masters

Macquarie University Australia

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Looking for your first degree in Statistics? See All bachelors degrees in Statistics

Study a Statistics Masters abroad in 2025

Statistics as an academic field focuses on the study and manipulation of data. This involves the gathering, analysis and processing of data, as well as the presentation and conclusion of what the data has shown. There are two main subjects within statistics, these are descriptive statistics and inferential statistics. Statistical findings can be incredibly useful in an extremely wide range of fields, and is not limited to mathematical applications.

Graduates of a masters degree in statistics will have a wide variety of career options available to them. These include actuarial analyst, data scientist, risk analyst, insurance underwriter, and market researcher.

Your degree will be delivered through lectures and seminars, as well as computer laboratory sessions. Modules you study could include:

  • Mathematical Finance
  • Stochastic Models
  • Statistical Optimisation
  • Classical and Quantum Mechanics
  • Advanced Bayesian Methods

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