Qualification Aims and Objectives

The course develops students’ understanding of mathematics as a tool for reasoning, modelling and problem-solving in real-world and abstract contexts. You’ll study pure mathematics, mechanics and statistics, learning to apply logical thinking, mathematical techniques and analytical skills in both familiar and unfamiliar scenarios.

Objectives

• Develop a deep conceptual understanding of mathematical principles and methods.
• Acquire and apply mathematical techniques to solve problems, model situations and interpret results.
• Build analytical, logical and quantitative skills through reasoning, proof and mathematical argument.
• Consider how mathematics is used in a variety of disciplines and real-life contexts.
• Prepare for further study and careers in mathematics, engineering, economics, data science, finance, physical sciences and computing.

Course Outline

Course Structure

The qualification is divided into three main components:

• Pure Mathematics – algebra, coordinate geometry, trigonometry, sequences and series, differentiation, integration, vectors, and proof.
• Mechanics – kinematics, forces and Newton’s laws, moments, and energy principles used to model motion and real-world physical systems.
• Statistics – data collection and presentation, probability, distributions, correlation, hypothesis testing, and interpretation of results.

Assessment

• Linear Assessment: All exams taken at the end of the two-year course.
• Three External Papers:
• Pure Mathematics 1
• Pure Mathematics 2
• Statistics and Mechanics
• Each paper includes a balance of short, structured and extended response questions requiring both technique and reasoning.

Key Skills Developed

• Analytical thinking and quantitative reasoning
• Abstract problem-solving and logical argumentation
• Modelling and interpreting real-world data
• Technical accuracy and clear mathematical communication
• Use of technology and statistical tools

Future courses and possible careers

Mathematician • Data Scientist • Engineer • Economist • Actuary • Statistician • Financial Analyst • Computer Scientist • Research Scientist • Quantitative Analyst • Teaching • Physical Sciences