Course overview

A Level Mathematics is an essential qualification for many STEM and economics degree courses. It also provides valuable preparation for subjects such as Geography, Accounting and Finance, keeping mathematical skills current and developing problem solving, logical reasoning, and statistical abilities.

The course is divided into three strands: Pure Mathematics, Mechanics and Statistics. Students will develop a strong foundation in mathematical techniques while learning to apply skills to real world contexts.

Core Maths, equivalent to an AS Level, complements A Level study by developing applied statistical and data handling skills. These transferable skills support other courses such as Science, Health and Engineering.

Who is this course for?

This course is well suited to students who:

• Enjoy working with numbers, patterns and logical reasoning
• Wish to strengthen problem solving and analytical skills
• Are considering further study in STEM, Economics, Finance, Geography or related fields
• Want to build confidence in mathematical techniques for degree level study

Course content

Pure Mathematics

• Algebra, calculus, functions, sequences and series
• Trigonometry, vectors and proof

Mechanics

• Forces, motion, moments, and kinematics
• Application of mathematical principles to physical systems

Statistics

• Probability, statistical distributions, hypothesis testing
• Data analysis and interpretation

Core Maths

• Builds on GCSE content (approximately 20% above GCSE level)
• Focuses on statistics, probability, linear programming, sequences and growth
• Emphasises applied, real world problem solving through contextualised scenarios

Assessment

A Level Mathematics

• Three two hour written examinations at the end of Year 13, each worth 100 marks
• Papers 1 and 2 assess Pure Mathematics
• Paper 3 assesses Mechanics and Statistics

Core Maths

• Two 1 hour 40 minute examinations at the end of Year 13
• Paper 1 (40%) based on a pre released source booklet
• Paper 2 (60%) split into two sections: one based on the source booklet and one examining a separate theme

Assessment methods develop confidence in applying mathematical techniques to both theoretical and practical problems.

Progression opportunities

• University degrees in Mathematics, Engineering, Science, Economics, Finance, Geography and related fields
• Apprenticeships or careers requiring quantitative analysis, modelling or logical reasoning
• Further study that benefits from a strong foundation in mathematical problem solving

Skills developed

• Advanced problem solving and analytical reasoning
• Statistical and data handling skills
• Logical thinking and proof writing
• Mathematical modelling and application to real world scenarios
• Confidence in tackling complex numerical and applied tasks

“Build confidence in problem solving and logical thinking while developing advanced mathematical skills that support progression into a wide range of university courses and careers.”