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Our Statistics MSc will teach you the theories behind a variety of statistical techniques, and how to apply them in scenarios that professional statisticians face every day.
You’ll develop a detailed working knowledge of important statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning.
Our Statistics MSc includes modules on how to collect data and design experiments, and the role of statistics in clinical trials. You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.
Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. You’ll gain skills to help you stand out in the graduate job market, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings.
External clients, such as pharmaceutical companies or sports modelling organisations, often provide dissertation topics. Distance learning students often come with projects designed by their employer.
Recent examples of dissertation topics include:
Probabilistic Topic Modelling
Spatio-temporal Modelling of Social Phenomena
Feature selection for high dimensional data
Modelling Football Results
Accreditation This course is accredited by the Royal Statistical Society
Program overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Our Statistics MSc will teach you the theories behind a variety of statistical techniques, and how to apply them in scenarios that professional statisticians face every day.
You’ll develop a detailed working knowledge of important statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning.
Our Statistics MSc includes modules on how to collect data and design experiments, and the role of statistics in clinical trials. You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.
Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. You’ll gain skills to help you stand out in the graduate job market, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings.
External clients, such as pharmaceutical companies or sports modelling organisations, often provide dissertation topics. Distance learning students often come with projects designed by their employer.
Recent examples of dissertation topics include:
Probabilistic Topic Modelling
Spatio-temporal Modelling of Social Phenomena
Feature selection for high dimensional data
Modelling Football Results
Accreditation This course is accredited by the Royal Statistical Society
Admission Requirements
6.5+
176+
88+
61+
Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules.
Statistics MSc
Western Bank, Sheffield,, United Kingdom
# 101-150QS Subject Rankings
12 monthsProgram duration
27,670 GBPTuition Fee/year
1Scholarships
Program overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
You’ll develop a detailed working knowledge of important statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning.
Our Statistics MSc includes modules on how to collect data and design experiments, and the role of statistics in clinical trials. You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.
Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. You’ll gain skills to help you stand out in the graduate job market, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings.
External clients, such as pharmaceutical companies or sports modelling organisations, often provide dissertation topics. Distance learning students often come with projects designed by their employer.
Recent examples of dissertation topics include:
Accreditation This course is accredited by the Royal Statistical Society
Program overview
Main Subject
Statistics and Operational Research
Degree
MSc
Study Level
Masters
Study Mode
On Campus
You’ll develop a detailed working knowledge of important statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning.
Our Statistics MSc includes modules on how to collect data and design experiments, and the role of statistics in clinical trials. You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.
Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. You’ll gain skills to help you stand out in the graduate job market, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings.
External clients, such as pharmaceutical companies or sports modelling organisations, often provide dissertation topics. Distance learning students often come with projects designed by their employer.
Recent examples of dissertation topics include:
Accreditation This course is accredited by the Royal Statistical Society
Admission Requirements
Tuition fees
Domestic
International
Scholarships
International Postgraduate Taught Scholarship
Value
$2500
Deadline
8 Jul 2025
Application requirements
QS Event attendance is required
Entry requirements
You must be admitted to this school to be awarded
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