Mathematics in context investigates how mathematics can be used in real life contexts to solve problems and make predictions. The contexts explored have practical applications to a whole range of areas, such as business, economics, IT, psychology, computer science, philosophy, engineering, financial mathematics and many more.

Course Content

• Analysis of data

• Types of data, collecting and sampling data, representing data numerically and diagrammatically

• Maths for personal finance

• Numerical calculations, percentages, interest rates, the cost of credit, taxation, solutions to financial problems

• Estimation

• Making mathematical assumptions and simplifications, interpreting results in context, evaluating solutions

• Critical analysis of given data and models

• Summarising and report writing, comparing results, criticising arguments in context

• Critical path and risk analysis

• Representing a project using an activity network, identifying critical activities, scheduling activities

• Expectation and Probability

• Modelling outcomes, diagrammatic representations

• Cost benefit analysis

• Living with uncertainty, control measures, risk analysis

Assessment

Paper 1 - 60 marks

1 hour 30 minutes

Paper 2 - 60 marks

1 hour 30 minutes