Course summary
Propel your career forward by tackling real world challenges through statistical analysis. Enhance your statistical problem solving by developing and applying sophisticated statistical models, and by using computational techniques and advanced statistical software. Our course offers a blend of statistical theory and practical applications, preparing you for a wide range of careers in finance, healthcare, technology and government. Study advanced statistical techniques and machine learning algorithms tailored to various sectors including economics, medicine, finance, insurance, and industrial management. We blend foundational knowledge with practical skills to equip you for success in today's competitive job market. You'll be taught a wide range of modules, allowing you to explore advanced topics such as statistcal modelling and computational statistics. Benefit from mastering various statistical software packages for practical analysis, enhancing your ability to use various statistical methods in real world applications. Apply a range of statistical techniques to diverse and unfamiliar environments, adapting your skills to tackle novel challenges in various fields. Develop a deep understanding of statistical theory, gaining comprehensive knowledge of core concepts, theories, and methodologies essential for informed decision-making.
Assessment method
In this programme, you will engage in master's-level courses covering both advanced theory and the practical applications of statistics, supplemented by courses in modern computational techniques and data analysis. Additionally, you will undertake a research project under the guidance of research leaders in various areas of statistical modeling and computation. These courses, combined with the project, will furnish you with relevant training in quantitative analysis. This journey will empower you with interdisciplinary research capabilities and sharpen your communication skills, equipping you with versatile tools essential for a dynamic and successful career in the ever-evolving field of Statistics.
How to apply
International applicants
For students whose first language is not English, one of the following English language qualifications is required: IELTS 6.0 with no less than 5.5 in any band TOEFL: 80 overall with no less than 19 in Reading, 19 in Listening, 21 in Speaking and 19 in Writing Pearson Test of English (PTE) including online: Academic 64 with no less than 59 in all four skills Cambridge English (exams taken from 2015): Advanced – minimum overall score of 169, with no less than 162 in any component
Entry requirements
A 2:1 Honours degree in Mathematics and/or Statistics or a programme with advanced mathematical and/or statistical components. This programme is aimed at students who have previously completed an undergraduate degree with significant mathematical or statistical content and who wish to pursue postgraduate studies to a master level.
Fees and funding
Tuition fees
| England | £10350 | Year 1 |
| Northern Ireland | £10350 | Year 1 |
| Scotland | £10350 | Year 1 |
| Wales | £10350 | Year 1 |
| International | £27270 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Birmingham
Edgbaston
Birmingham
B15 2TT