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Mathematics and Statistics at Queen Mary University of London - UCAS

Course summary

Make a difference in the ever-developing digital world where you’ll tackle industry’s challenging mathematical problems. In our digital age, we create an ever-increasing volume of data every day. With enormous data sets emerging across all industries, the ability to analyse, interpret, and communicate data through statistical analysis is an increasingly important skill.   Our expert teaching team deliver all-round mathematical training with an in-depth study of statistics. You’ll start by building a foundation across pure, discrete, decision and modern applied mathematics. Then specialise in a range of topics from computational statistics to actuarial mathematics.  Flexibility to suit you Interested in applying probabilistic modelling to genetics? Curious how banks use statistics to predict the impact of economic crises? Focus your study to match your ambitions with our optional modules.   As part of your learning, you’ll have the opportunity to apply to take a year abroad or kickstart your career with a professional placement. Being in our London location, you’ll be spoilt for choice. Your CV will now be stuffed with sought-after skills and knowledge that you’ll have picked up throughout the programme. Next, our careers consultant will work alongside you to guide you into the perfect career. How does pharmaceutical research, banking, investment, or forensics sound?  

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

Application codes

Course code:
GG31
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


English language requirements

All applicants to Queen Mary 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 and will require a Student Visa to enter the UK.

Queen Mary University of London: English Language Requirements

https://www.qmul.ac.uk/international-students/englishlanguagerequirements/undergraduate-and-postgraduate-programmes/


Student Outcomes

Operated by the Office for Students
85%
Employment after 15 months (Most common jobs)
95%
Go onto work and study

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

For information on the overseas fee for this programme, please see our website http://www.qmul.ac.uk/tuitionfees/ Please be aware the fee for this course may rise to £9535 in line with the recent Government announcement. We will update further in January, when the Government’s proposals have been through parliament.
Mathematics and Statistics at Queen Mary University of London - UCAS