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Mathematics and Applied Statistics

BSc(Hons)
UCAS code: GG13

Key features

  • Mathematics underpins all modern technologies
  • Statistical analysis demonstrates the significance, or otherwise, of any data.
  • View our labs and resources 

 

2012 course information

What it’s about

The study of mathematics involves the application of mathematical and numerical techniques to a range of practical situations with the intention of obtaining optimal solutions. The science of statistics is about solving problems, in a range of areas, by analysing data.

Whether your interest is in engineering, or health, or the social sciences, there will always be important practical questions that can only be approached by the collection of suitable data or information and the analysis of this by a variety of mathematical and statistical methods. Society needs capable people who can look at a situation, collect relevant information, identify solutions to the problem and then communicate these solutions in a way that can be understood by a non-specialist.

What you do

BSc(Hons) Mathematics and Applied Statistics brings together Applied Statistics with Mathematics to deliver an honours degree that is highly numerate and analytical. This aims to produce graduates able to formulate models in and practically apply tools for mathematics and statistics in order to enable the analysis of a range of real-world problems.

Statistics  is concerned with the collection and interpretation of quantitative data and the use of probability theory to analyse and model such data. As such, graduates would be suitable in roles involving the handling of such data.

The mathematics modules build up the student knowledge of methods to aid in the analysis and modelling of mathematical based problems. Graduates would be suited to roles that require practical application of such knowledge to real-world problems.

The main body of the award concentrates on developing your understanding and your ability to use a range of techniques that aid the process of problem solving. In your first year, you will learn the foundations of mathematics and statistics, together with the skills of using information technology to solve basic practical quantitative problems. These skills will be developed in the second year, where there will be increased emphasis on the interpretation and presentation of your results. 

In the final year, you will meet a range of practical situations where the subjects are applied to real-world problems including financial mathematics and experimental design.

Where next

When you graduate, you should be able to exercise independent analytical judgment and will have developed a range of transferable skills. You will be an exponent of the technological environment in this field and have the skills to use them in a variety of organisations. Graduates have gained employment in a wide range of areas including finance and accountancy, teaching and quality assurance.

Have you also considered?

  • Business Data Analysis

 

Fact File

Qualification:

BSc(Hons)

Faculty/School:

Faculty of Computing, Engineering and Technology

Location:

Stafford Campus

Course Start: September
Course Length: Normally three years full-time.
Entry Requirements: All applicants are individually assessed on their qualifications, skills and experience.  However, a typical three A level or BTEC National Diploma offer will be 280 UCAS tariff points.  The Mathematics and Applied Statistics award assumes A-level maths entry but is available to students with an AS-level in maths since students are able to replace their level 1 option with a catch up module bridging their mathematical knowledge to that which is assumed from A-level. Please click here for further information
Application:

Application for this course is through UCAS.

For guidance on the application process click here

UCAS Code:

GG13

Fees and Bursaries:

Standard undergraduate tuition fees and bursaries.
Please click here for further information

Contact

For more information about Mathematics and Applied Statistics (GG13) please contact:

The Recruitment Centre
Faculty of Computing, Engineering and Technology
Staffordshire University
Beaconside
Stafford
Staffordshire
ST18 0AD
t: +44 (0)1782 294400
e: enquiries@staffs.ac.uk
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