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Statistics with Medical Applications MSc

Statistics with Medical Applications MSc

Different course options

Full time | University of Sheffield | 1 year | SEP-23

Study mode

Full time

Duration

1 year

Start date

SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Medical Statistics

Course type

Taught

Course Summary

Learn how to apply advanced statistical techniques to solve problems in medicine and healthcare.

Course description

This course 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 and build up your programming and data analysis skills using the statistical computing software R.

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.

There are also optional modules on other topics in statistics, including time series analysis and machine learning.

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. The aim is to give you skills to include on your CV, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings. Distance learning students often come with projects designed by their employer.

Accreditation

This course is accredited by the Royal Statistical Society.

Please see our University website for the most up-to-date course information.

Modules

The dissertation is an extensive statistical study on a topic from a medical, pharmaceutical or health-related field. It gives the student the opportunity to synthesise theoretical knowledge with practical skills.

Tuition fees

UK fees
Course fees for UK students

Please see our University website for fees and funding information.

International fees
Course fees for EU and international students

Please see our University website for fees and funding information.

Entry requirements

We ask for a 2:1 honours degree, or equivalent, with substantial mathematical and statistical components. In particular, you should have studied the following topics and performed well in assessments on them (for example, a score of at least 60 per cent). Mathematical Methods for Statistics: ideas and techniques from real analysis and linear algebra, including multiple integration, differentiation, matrix algebra, the theory of quadratic forms. Probability and Probability Distributions: the laws of probability and of conditional probability, the concepts of random variables and random vectors and their distributions, the methodology for calculating with them; laws of large numbers and central limit phenomena. Basic Statistics: hypothesis testing; point estimation and confidence intervals; likelihood methods; linear modelling; use of statistical software, for example, R.