2024 entry

BSc Mathematics with Statistics (G1G3)

Course overview

BSc Mathematics with Statistics (G1G3)

Typical offer

A-level standard offer: A*A*A

A-level contextual offer: AAA

See entry requirements for full details and eligibility.

Course duration

3 year(s) full-time

Part-time study is not available for this course

Application method

Full-time: UCAS


£9,250 per year, home students

£29,300 per year, international students

More about tuition fees, living costs and financial support.


Clifton campus

Join a University ranked in the UK top five for Maths research (THE analysis of REF 2021) with an excellent reputation for teaching and learning (UK top ten for Maths, QS World University Rankings by subject 2023).

This three-year course provides a rigorous foundation in mathematics, allowing you to learn mathematical and statistical skills that are in high demand from top employers, and that give you a strong basis for further study.

Our lecturers are passionate about their subject, with modules informed by cutting-edge research. You can shape your degree to suit your interests; you could discover units like Complex Networks and Probability alongside your core modules, or choose optional vocational units like Financial Risk Management or Maths in Schools to prepare you for a particular career. In your final year, you will have the option to pursue an independent project on a topic you are passionate about, supervised by one of our world-leading experts.

The curriculum currently includes opportunities to learn the statistical computing environment R, the Bayesian approach to estimation and prediction, and how to use mathematical ideas to understand uncertainty, model risk and rigorously analyse large data sets.

This degree is accredited by the Royal Statistical Society (RSS) and you'll be automatically entitled to Graduate Statistician status on application to the RSS, provided you achieve at least a second class honours degree.

Think Big bursaries of £3,000 are available to support first-year international undergraduate students in this subject area.

This course is accredited by the following organisations

The Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status.

The Institute and Faculty of Actuaries for the purpose of exemption from some professional examinations.

Institute of Mathematics and its Applications (IMA) This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught masters degrees.

Course structure

The first year provides a broad background in pure, applied and statistical mathematics via a range of compulsory units. You'll cover material in lectures and small-group tutorials, with the freedom to explore a range of topics in collaboration with your personal tutor and fellow students.

From year two you will focus more on statistics and probability, although there is still scope to take some units from other areas.

As you move through the course you will gain academic independence, moving from small-group tutorial teaching in year one to an optional, independent project in your final year.

Full details about the course structure and units for this course can be viewed in the programme catalogue.

Go to programme catalogue

Entry requirements

We accept a wide variety of qualifications and welcome applications from students of all backgrounds. Below is a guide to the typical offers for this course.

Applicants must also meet these requirements

GCSE profile requirements

No specific subjects required.

Further information about GCSE requirements and profile levels.

English language requirements

If English is not your first language, you need to have one of the following:

Further information about English language requirements and profile levels

More about UK qualifications.

Selection process

Key information about this course

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