The computing focus of this degree programme is complemented by its statistical content. In particular, systems building and software engineering are combined with statistical methods, probabilistic modelling and data analysis to give a computational approach to the use of statistics.

This degree provides a grounding in the techniques and principles commonly used by the professional statistician. It gives a firm foundation in the theoretical basis of these, but with an emphasis on application and the use of statistical software. Meanwhile, the computing element helps students to understand how computer systems are developed and offers training to design and build them. As a whole, the programme presents students with an opportunity to acquire the skills of a statistician, together with the ability to implement them on modern-day computer systems, a facility which is valued by most employers.

In response to increased interest by students wishing to pursue a career in teaching, we have developed new final-year courses, including Mathematics in Society and the Undergraduate Ambassadors Scheme. In particular, the Ambassador Scheme aims to encourage and nurture a new generation of mathematicians and gives students the opportunity to gain classroom experience as one of their final-year options.

Career options

Graduates are equipped for careers in market research, business analysis and forecasting, database design, business process modelling, statistical computing and software development

You can find more information about this programme on the programme website I want to find another Bachelor programme

Detailed Course Facts

Tuition fee
  • GBP 9000 Year (EEA)
  • GBP 10350 Year (International)

EU/Home: £9,000 International: £10,350

Scholarships available - please see our website

Start date September  2015
Duration full-time 36  months
Languages Take an IELTS test
  • English
Delivery mode On Campus
Educational variant Part-time, Full-time

Course Content

Year 1

  • Computer Programming (30 credits)
  • Systems Building (30 credits)
  • Calculus and Mathematical Methods (30 credits)
  • Probability and Statistics (30 credits)

Year 2

  • Systems Building (30 credits)
  • Business Systems Applications (15 credits)
  • Database Applications Technologies (15 credits)
  • Operational Research and Personal Development (30 credits)
  • Statistical Methods (30 credits)

Optional Sandwich Year (Work Placement)

Final Year

  • Statistical Modelling (15 credits)
  • Artificial Intelligence (30 credits)
  • Network Management and Security (30 credits)
  • Three 15-credit statistics options. Current options include: Advanced Algorithms; Numerical Methods and Software for Partial Differential Equations; Actuarial Mathematics; Methods of Optimisation; Financial Modelling and Analysis; Mathematics in Society; Research Methods and Project; Mathematics Education and Communication (teaching experience through the Undergraduate Ambassadors Scheme); Scheduling Models and Algorithms; Industrial Applied Mathematics; Mathematical Industry Placement; Mathematics of Image Processing; Analytical Decision Making; Advanced Statistical Modelling (45 credits)


Exams, coursework and a project


3 years full-time
4 years sandwich
6 years part-time

English Language Requirements

To study at this university, you have to speak English. We advice you to

take an IELTS test.
More About IELTS


Applicants should have:

200 UCAS points

FROM A-levels or equivalent

INCLUDING at least 60 points from a mathematical subject studied to A-level or equivalent.

PLUS GCSEs at grade C or above (including English and mathematics) or equivalent qualifications.

Language skills

If English is not your first language, you will need to provide proof of your fluency in English before you can begin a programme. The main systems for measuring this are IELTS with a minimum score of 6.0 for degree programmes or TOEFL with a minimum score of 550 for degree programmes. Recently the TOEFL computer-based test has been abolished to make way for the introduction of the Internet-based test, gradually eliminating the traditional paper-based method. Other qualifications may be satisfactory. We can tell you what is acceptable.

Work Experience

No work experience is required.

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