find your perfect postgrad program
Search our Database of 30,000 Courses
University of Sheffield: Statistics
| Institution | University of Sheffield |
|---|---|
| Department | Mathematics and Statistics |
| Web | http://www.sheffield.ac.uk |
| postgradmaths-enquiry@shef.ac.uk | |
| Telephone | +44 114 222 3789 |
| Study type | Taught |
MSc
Summary
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.
**Course description**
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.
**Accreditation**
This course is accredited by the Royal Statistical Society
Please see our University website for the most up-to-date course information.
| Level | RQF Level 7 |
|---|---|
| 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 on them (for example, a score of at least 60 per cent). Mathematical Methods for Statistics: ideas and techniques from linear algebra, including multiple integration, differentiation, matrix algebra, the theory of quadratic forms. Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent. |
Summary
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.
**Course description**
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.
**Accreditation**
This course is accredited by the Royal Statistical Society
Please see our University website for the most up-to-date course information.
| Level | RQF Level 7 |
|---|---|
| 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 on them (for example, a score of at least 60 per cent). Mathematical Methods for Statistics: ideas and techniques from linear algebra, including multiple integration, differentiation, matrix algebra, the theory of quadratic forms. Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent. |
Summary
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.
**Course description**
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.
**Accreditation**
This course is accredited by the Royal Statistical Society
Please see our University website for the most up-to-date course information.
| Level | RQF Level 7 |
|---|---|
| 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 on them (for example, a score of at least 60 per cent). Mathematical Methods for Statistics: ideas and techniques from linear algebra, including multiple integration, differentiation, matrix algebra, the theory of quadratic forms. Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent. |
Summary
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.
**Course description**
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.
**Accreditation**
This course is accredited by the Royal Statistical Society
Please see our University website for the most up-to-date course information.
| Level | RQF Level 7 |
|---|---|
| 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. Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent. |
Postgraduate Certificate - PgCert
Summary
This part-time distance learning programme is designed for graduates who don't have all the background knowledge for a masters degree in statistics. Students who perform well can progress on to our Statistics MSc or Statistics with Medical Applications MSc.
**Course description**
This nine-month part-time distance learning course covers the relevant first-year undergraduate mathematics, and the relevant first and second-year probability and statistical theory. It runs from late September until early June. Exams are online, so you won't need to visit Sheffield.
There are three modules and you'll either be given directed reading from standard textbooks or a fully comprehensive set of course notes, depending on the module, as well as examples and exercises to work through. Tailored course material will also be made available online including additional notes and video lectures.
Our lecturers will give you feedback and comments on your work and each module has an online forum for discussions. You'll need to dedicate around 20 hours a week to your studies.
**Progression**
An average final mark of approximately 65 per cent on the Graduate Certificate, with at least 60 per cent in each of the three modules, will usually allow you to progress onto the MSc Statistics or MSc Statistics with Medical Applications, provided you meet the University's English language requirements.
Please see our University website for the most up-to-date course information.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Minimum 2:2 undergraduate honours degree in a quantitative subject (e.g. biochemistry, biomedical science, computer science, economics, medicine, engineering) and at least grade B in A Level mathematics, or equivalent. Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent. |
Summary
This part-time distance learning programme is designed for graduates who don't have all the background knowledge for a masters degree in statistics. Students who perform well can progress on to our Statistics MSc or Statistics with Medical Applications MSc.
**Course description**
This nine-month part-time distance learning course covers the relevant first-year undergraduate mathematics, and the relevant first and second-year probability and statistical theory. It runs from late September until early June. Exams are online, so you won't need to visit Sheffield.
There are three modules and you'll either be given directed reading from standard textbooks or a fully comprehensive set of course notes, depending on the module, as well as examples and exercises to work through. Tailored course material will also be made available online including additional notes and video lectures.
Our lecturers will give you feedback and comments on your work and each module has an online forum for discussions. You'll need to dedicate around 20 hours a week to your studies.
**Progression**
An average final mark of approximately 65 per cent on the Graduate Certificate, with at least 60 per cent in each of the three modules, will usually allow you to progress onto the MSc Statistics or MSc Statistics with Medical Applications, provided you meet the University's English language requirements.
Please see our University website for the most up-to-date course information.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | We usually ask for a second class (2:1 or 2:2) degree in a quantitative subject (for example biochemistry, biomedical science, computer science, economics, medicine, engineering) and at least grade B in A Level mathematics, or equivalent. Overall IELTS score of 6.5 with a minimum of 6.0 in each component, or equivalent. |
Not what you are looking for?
Browse other courses in Science, Mathematics or Statistics, or search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here
