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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.
Entry Requirements
Minimum 2:1 undergraduate honours degree, with substantial mathematical and statistical components. In particular, you should have studied the following topics and performed well in assessments:
Mathematical Methods for Statistics: ideas and techniques from real analysis and linear algebra, including multiple integration, differentiation, matrix algebra.
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.
Fees
Home (2022 annual fee) : £11,500
Overseas (2022 annual fee) : £23,250
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Student Profile(s)
Edisa Livingston

"One of the things I enjoyed most was learning about more innovative and complex statistical methods, from Bayesian inference to principal component analysis. Despite around 20% of my undergraduate mathematics degree being statistics and probability, it was only when I studied statistics as a postgraduate that I developed a real passion for it.
"After successfully completing the Civil Service Statistical Fast Stream scheme in summer 2021, I am about to start a role where I will have the opportunity to lead a team delivering statistical projects in a Government department."
Yiyang Yan

"This MSc course has equipped me with not only the statistical skills needed to solve practical problems, but also professional skills including teamwork and time management.
"I enjoyed the group projects working with people from different backgrounds, during the group cooperation, we learned from each other, helped each other and made progress together.
"As for the dissertation, it has enhanced my ability to learn new materials, developed my independence in learning and overcoming difficulties. I’m grateful to the lecturers and staff for their encouragement and support, they are friendly and helpful."
Scholarships
The highly prestigious Jayne Fountain Scholarship sponsored by Parexel is open to UK students applying for the Statistics with Medical Applications MSc or Statistics MSc. The scholarship is worth £20,000, to cover the cost of course tuition fees and make a contribution to living costs. The scholarship was established in honour of Jayne Fountain, a statistician who worked in Sheffield for Parexel, one of the largest clinical research organisations. The company supports the development of innovative new ideas by providing services to the life sciences and biopharmaceutical industries. Their work spans from decentralised clinical trials to regulatory consulting services to leveraging real world insights.
Value of Scholarship(s)
£20,000
Eligibility
You will be invited to apply for the Jayne Fountain Scholarship if you receive an offer for either Statistics with Medical Applications MSc or Statistics MSc, plan to study full-time, will be paying UK fees and do not already have a scholarship.
Application Procedure
If you are invited to apply for Jayne Fountain Scholarship, you will asked to submit a short personal statement in support of your scholarship application. This invitation will include more information about the selection process. A requirement of the scholarship is that the student undertakes a MSc dissertation project proposed by Parexel.