About the course

Build up a set of statistical tools and techniques that you can use to solve problems in a range of industries. You'll develop the skills and knowledge a professional statistician needs.

　　This course 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. You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.

　　This course also includes modules on how to collect data and design experiments, and the role of statistics in clinical trials.

　　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. 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.

　　Dissertation topics are often provided by external clients – for example, pharmaceutical companies or sports modelling organisations. Distance learning students often come with projects designed by their employer.

　　Your career

　　You'll graduate with the specialist modelling and analysis skills employers need to interpret the complex datasets that underpin many 21st century professions – from business, manufacturing and marketing to policymaking, science and healthcare.

　　Employers that have hired graduates from our School of Mathematics and Statistics include Amazon, Barclays, Dell, Goldman Sachs, IBM, PwC, Sky, the NHS and the Civil Service.

　　This degree satisfies the eligibility criteria for the Royal Statistical Society’s Graduate Statistician award – a stepping-stone to full professional membership of the RSS and Chartered Statistician status. Scholarships - View all scholarships Internships

　　

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

　　Duration: 1 Year(s)Fees: GB£24,400

Intake	Location
Autumn (September), 2024	Sheffield
Autumn (September), 2025	Sheffield

　　

How to apply

Entry requirements for University of Sheffield

Minimum 2:1 honours degree with substantial mathematical and statistical components or a pass at an equivalent level in the Graduate Certificate.

　　Overall IELTS grade of 6.5 with a minimum of 6.0 in each component, or equivalent.

　　Test of English as a Foreign Language (TOEFL) internet-based test (IBT) - Overall score of 88 or above, with at least 17 in Listening, 17 in Writing, 18 in Reading and 20 in Speaking.

　　

English language requirements

　　6.5

　　Overall IELTS band score

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　　About IELTS

　　Practice and prepare

　　TOEFL Internet based overall score: 88.0

　　

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

　　

Further information

Career outcomesIf you aren’t eligible for the above entry requirements, you might want to explore pathway options at University of Sheffield. If you want to find out more, please speak to our counsellors.

　　Pathway options to study at this institution

　　

Reviews and rankings

World ranking

　　105th / 1250

　　THE World ranking20th / 130

　　Complete University guide

　　

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