Description

Statistics, a pervasive subject with diverse applications, is concerned with the use of appropriate statistical techniques in the analysis of data to help us understand, model and reveal important information, such as hidden features and patterns. This involves data collection, design of methods, statistical estimation and prediction, interpretation, probabilistic modelling and simulation.

This programme provides a thorough grounding in all of the techniques and principles commonly used by the professional statistician. It gives a firm foundation in the theoretical basis of these, but has an emphasis on application and the use of statistical software. 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 have opportunities in market research, business analysis and forecasting, medical, health or social science research, quality control, insurance, environmental and ecological science, actuarial work and econometrics

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 (Non-EEA)

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

Scholarships available - please see our website www.gre.ac.uk/scholarships

Start date September  2014
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

  • Advanced Calculus and Mathematical Methods (30 credits)
  • Mathematical Technology and Thinking (30 credits)
  • Discrete Mathematics and Combinatorics (30 credits)
  • Probability and Statistical Analysis (30 credits)

Year 2

  • Linear Algebra and Applications (30 credits)
  • Numerical Mathematics and Computer Algorithms (30 credits)
  • Operational Research for Industry (30 credits)
  • Statistical Methods and Time Series Analysis (30 credits)

Optional Sandwich Year (Work Placement)

Final Year

  • Research Methods and Mathematics Project OR UAS: Mathematics Education and Communication (teaching experience through the Undergraduate Ambassador Scheme) OR Mathematics Work Placement (30 credits)
  • Statistical Modelling (15 credits)
  • Optimisation Techniques (15 credits)
  • Four 15-credit options from: Actuarial Mathematics and Risk Modelling; Advanced Statistical Models; Coding and Cryptography; Dynamical Systems and Chaos; Financial Time Series; Graph Theory and Combinatorics; Industrial Applied Mathematics; Mathematics and Society; Mathematics of Decision Making; Mathematics for the Life Sciences; Methods for Non-linear Mathematics; Modelling and Analysis of Financial Instruments; Models and Algorithms for Scheduling; Numerical Solution of Partial Differential Equations; Real Analysis (60 credits)

English Language Requirements

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

take an IELTS test.
More About IELTS

Requirements

Applicants should have:

A minimum of 300 UCAS points

FROM subjects studied at A-level or equivalent qualifications, including at least 80 points from mathematics studied to A-level or equivalent.

PLUS GCSEs in English and mathematics at grade C or above, or equivalent qualifications such as key skills level 2.

• Applications from students taking Access to Higher Education courses are welcome.

Work Experience

No work experience is required.

Accreditation

This degree (including the combined honours variants) are approved by the Institute of Mathematics and its Applications. Subject to subsequent employment involving the application of mathematical knowledge, the programme can also be used in part fulfilment of the requirements for chartered mathematician status.

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