Queen Mary University of London | Open Day - 13 June 2025
13 Jun 2025, 10:00
London, London
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Course summary
This programme moves on from traditional statistics degrees, providing modernised modules that meet the needs of industry today. You will be taught to harness the power of data and statistics in addition to learning analysis tools such as R and Python. The knowledge and skills you learn will provide you with a platform to work across a variety of industries, go into research or undertake a PhD.
Programme Highlights
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Become highly employable in the field of statistics across a variety of industries, including Big Pharma, Big Tech, clinical trials, psychology and Government agencies.
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Learn from academic experts across a number of fields such as statistics, finance and data analytics.
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Learn analysis tools such as R and Python.
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Opportunity to undertake an applied summer dissertation project.
Career Outcomes
Successful completion of this degree will provide you with opportunities to go into industry in areas such as clinical trials, Big Pharma, Big Tech, psychology and Government agencies. The programme will also provide you with a platform to go into research or undertake a PhD.
Modules
Semester One - Compulsory Modules
Applied Statistical Modelling
Bayesian Statistics
Probability and Statistics for Data Analytics
Elective Modules (choose one from):
Machine learning with Python
Storing, Manipulating and Visualising Data
Semester Two - Compulsory Module
Computational Statistics with R
Elective Modules (choose three from):
Advanced Machine Learning
Biostatistics/Medical statistics
Survey sampling
Time Series
Time Series Analysis for Business
Students will also undertake an Applied Statistics and Data Science Dissertation.
Assessment method
You will be assessed by a mixture of formal examinations and coursework in your taught modules.
You will undertake more self-directed work in completing your final Applied Statistics and Data Science project.
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How to apply
International applicants
Please check the course page on the Queen Mary website for information on English Language Requirements and Visas.
Entry requirements
A 2:1 or above at undergraduate level in a Science, Technology, Engineering or Mathematics (STEM) subject.
Applicants with a 2:1 in any other subject can also be considered provided the degree contains satisfactory study in mathematics or statistics.
Fees and funding
Tuition fees
| Location | Fee | Year |
|---|---|---|
| England | £12650 | Whole course |
| Northern Ireland | £12650 | Whole course |
| Scotland | £12650 | Whole course |
| Wales | £12650 | Whole course |
| EU | £31850 | Whole course |
| International | £31850 | Whole course |
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.
Sponsorship information
To learn more about funding and scholarships, please visit our Funding a Masters webpage at: qmul.ac.uk/postgraduate/taught/funding_masters.
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS
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Course contact details
Admissions Office
Email:admissions@qmul.ac.uk
School of Mathematical Sciences Enquiries
Email:maths@qmul.ac.uk
Phone:+44 (0)20 7882 5440
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