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Our Statistics with Medical Applications MSc trains you to use statistical tools that are central to many areas of medicine: from clinical trials, to disease modelling, to measuring patient outcomes.
You’ll develop a detailed working knowledge of essential statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics and computational methods. You’ll build up your programming and data analysis skills using the statistical computing software R. You can also deepen your understanding of statistics with optional modules, such as time series analysis and machine learning.
You’ll study how these skills are applied in clinical trials and choose from a range of optional modules that focus on the role of statistics in other areas of medicine, such as epidemiology and evaluating healthcare interventions.
Around one-third of the course is devoted to your dissertation on a medical or healthcare related topic. This may focus on investigating a data set or a more theoretical or methodological topic. Distance learning students often come with projects designed by their employer.
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.
Recent examples of dissertation topics include:
Modelling recruitment projection in clinical trials with application in trials conducted within the Sheffield Clinical Trials Research Unit
Longitudinal analysis of outcomes in clinical trials
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 with Medical Applications MSc trains you to use statistical tools that are central to many areas of medicine: from clinical trials, to disease modelling, to measuring patient outcomes.
You’ll develop a detailed working knowledge of essential statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics and computational methods. You’ll build up your programming and data analysis skills using the statistical computing software R. You can also deepen your understanding of statistics with optional modules, such as time series analysis and machine learning.
You’ll study how these skills are applied in clinical trials and choose from a range of optional modules that focus on the role of statistics in other areas of medicine, such as epidemiology and evaluating healthcare interventions.
Around one-third of the course is devoted to your dissertation on a medical or healthcare related topic. This may focus on investigating a data set or a more theoretical or methodological topic. Distance learning students often come with projects designed by their employer.
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.
Recent examples of dissertation topics include:
Modelling recruitment projection in clinical trials with application in trials conducted within the Sheffield Clinical Trials Research Unit
Longitudinal analysis of outcomes in clinical trials
Accreditation This course is accredited by the Royal Statistical Society.
Admission Requirements
61+
176+
6.5+
88+
Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules.
Statistics with Medical Applications 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 essential statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics and computational methods. You’ll build up your programming and data analysis skills using the statistical computing software R. You can also deepen your understanding of statistics with optional modules, such as time series analysis and machine learning.
You’ll study how these skills are applied in clinical trials and choose from a range of optional modules that focus on the role of statistics in other areas of medicine, such as epidemiology and evaluating healthcare interventions.
Around one-third of the course is devoted to your dissertation on a medical or healthcare related topic. This may focus on investigating a data set or a more theoretical or methodological topic. Distance learning students often come with projects designed by their employer.
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.
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 essential statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics and computational methods. You’ll build up your programming and data analysis skills using the statistical computing software R. You can also deepen your understanding of statistics with optional modules, such as time series analysis and machine learning.
You’ll study how these skills are applied in clinical trials and choose from a range of optional modules that focus on the role of statistics in other areas of medicine, such as epidemiology and evaluating healthcare interventions.
Around one-third of the course is devoted to your dissertation on a medical or healthcare related topic. This may focus on investigating a data set or a more theoretical or methodological topic. Distance learning students often come with projects designed by their employer.
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.
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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