Course summary
Statistics is essential to making advances in science, technology, business and public policy, and a fascinating field of study in itself. This BSc combines rigorous all-round mathematical training with in-depth study of statistics. If you want to take your study of statistics deeper and develop mathematical research skills, consider our four-year Mathematics with Statistics MSci. You’ll spend your first year building a foundation across pure, discrete, decision and modern applied mathematics, probability and statistics. From the second year you’ll specialise in statistics, building statistical theory and methodology on mathematical foundations, especially probability theory. Probabilistic modelling has applications in genetics, quantum physics and risk analysis, and is increasingly used in the financial sector. You can study design of experiments, financial time series and actuarial mathematics. A choice of modules in your second and third years allows you to focus on the aspects of statistics that most interest you, or broaden your studies to encompass other areas of mathematics. You can also align your studies to your career goals, choosing modules on programming, insurance, computational statistics or teaching.
Modules
YEAR 1 Introduction to Algebra Introduction to Analysis with Calculus Numbers, Sets and Functions Probability and Statistics Programming in Python I Vectors and Matrices Please note that all modules are subject to change.
Assessment method
Most of your modules will be assessed by an examination worth at least 90 per cent of the year’s study, with the remainder covered by coursework and tests. Some BSc students will also complete a final-year project.
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- GG3Y
- Institution code:
- Q50
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - ABB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
Access to HE Diploma - D: 30 credits M: 15 credits
International Baccalaureate Diploma Programme - 32 points
GCSE/National 4/National 5
English language requirements
All applicants to QMUL must show they meet a minimum academic English language standard for admission and to be successful on the course. Please refer to the website below for details on our English Language requirements by course and acceptable alternative qualifications. You will also find important information regarding UKVI's English requirements if you are applying as an international student who will require Tier 4 immigration permission to enter the UK.
Queen Mary University of London: English Language Requirements
http://www.qmul.ac.uk/international/englishlanguagerequirements/index.html#
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
England | £9250* | Year 1 |
Northern Ireland | £9250* | Year 1 |
Scotland | £9250* | Year 1 |
Wales | £9250* | Year 1 |
*This is a provisional fee and subject to change.
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
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS