The learning strategies will require students to commit to 150 learning hours, of which 36 hours will consist of contact time. A combination of lectures and tutorials/workshops will provide students with the opportunity to develop a range of modelling skills. Typically there will be 24 hours of lectures and 12 hours of tutorial/practical time.
A further 114 hours of independent study will require students to further develop and practise these skills using a combination of formative and summative assessment exercises independently and as part of a small group.

THIS MODULE WILL NORMALLY RUN IN SEMESTER 2

Availability of mathematical software (e.g. Mathematica, EXCEL)

This module is aimed at giving an overview of a number of applications in Mathematics and Statistics
Financial calculations including compound Interest, NPV, IRR, APR, Loans
Modelling business situations graphically and algebraically (illustrating breakeven, supply and demand) and introducing graphical linear programming
Introduction to time-related data (time series, index numbers, forecasting)
Applications of probability (e.g. insurance concepts, brand switching, decision-making, applications using Binomial, Poisson)
Modern Quality Control (concepts and techniques involved with Statistical Process Control)
Use mathematical software (e.g. Excel, SPSS and Mathematica)

For background reading only:
1. G.Bancroft & G O'Sullivan Quantitaive Methods for Accounting and Business Studies (1993) McGraw-Hill, 007700318
2. L Swift Quantitative Methods for Business, Management & Finance (2001) MacMillan, 0333920767
3. C Morris Quantitative Approaches in Business Studies (2001) Prentice Hall, 0273638289

A GCSE (grade C or above) in mathematics or equivalent, knowledge of basic algebra.

1. An assignment requiring the modelling of business problems using appropriate software and requiring suitable solutions. 50% (Learning outcomes 1 & 2)
2. A 2 hour written examination covering the overall content of the module. 50% (Learning outcome 1)