Applied Statistics MSc

Why this course?

Our MSc in Applied Statistics is a conversion course, offering the opportunity to develop skills in statistics and data analysis even if you have never studies statistics before. You will be supported by members of staff who work directly with industry to develop skills which are relevant to current areas of research including population health and medicine, animal and plant health, finance and business.

Students will gain skills in:

• problem solving
• analysis and manipulation of complex data
• the use of statistical software for data analysis and reporting
• effective communication of statistics.

Programme skillset

On the MSc Applied Statistics programme you'll have the opportunity to acquire:

• an in-depth knowledge of modern statistical methods used to analyse and visualise real-life data sets, and the experience of how to apply these methods in a professional setting
• skills in using statistical software packages used in government, industry and commerce
• the ability to interpret the output from statistical tests and data analyses, and communicate your findings to a variety of audiences including health professionals, scientists, government officials, managers and stakeholders who may have an interest in the problem
• problem solving and high numeracy skills widely sought after in the commercial sector
• practical experience of statistical consultancy and how to interact with professionals who require statistical analyses of their data.

Assessment

The form of assessment varies from class to class. For most classes the assessment involves both coursework and examinations.

• The assessment will take ask you to demonstrate your statistical knowledge and skills to analyse real world data and interpret the results in the context of the research question
• Projects will involve writing code, interpreting statistical outputs, and producing a report, or presentation outlining the findings from your analysis
• Group work may be undertaken in some classes

Minimum second class honours degree or international equivalent, Mathematical training to A Level or equivalent standard. Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply. For Australia and Canada, normal degrees in relevant disciplines are accepted. Applicants are required to have some prior mathematical knowledge, for example A Level or equivalent in; calculus; linear algebra; differential equations.