Search the Burgess Hill siteOpen navigation

Maths & Computer Science

maths and futher maths

Mathematics is a fascinating, challenging and stimulating subject with the capacity to push intellectual boundaries. It can be used to make sense of an increasingly complex world and provides the problem-solving tools essential to virtually all fields of endeavour.

Mathematics underpins most of science, technology and engineering and is also important in areas as diverse as business, law, nutrition, sport science and psychology. It supports a wide range of other A level subjects; Economics, Psychology, the sciences, Computer Science and Geography all benefit from students having fluent and confident numerical, algebraic, graphical and statistical skills. The skills developed through the study of Mathematics at A level are in high demand from employers. In addition to developing the ability to solve problems and think logically, the study of Mathematics provides opportunities to develop team-working skills, resilience, effective communication of complex ideas and the ability to use your own initiative; the breadth of application is immense.

A level Mathematics extends techniques covered at GCSE and introduces new methods and concepts, providing a mix of pure and applied Mathematics. Pure elements include familiar topics such as Algebra, Functions and Coordinate Geometry, as well as new topics such as Sequences and Series, a wider view of Trigonometry, Calculus, Numerical methods and Vectors. Applied topics cover key areas of mechanics and statistics.

Mechanics aims to model the physical world by developing concepts to apply to the understanding of motion and forces acting on objects. Techniques can be used to explain how

forces are combined to cause movement and the impact of forces such as weight and friction.

Statistics explores the complex field of probability and explores how an understanding of chance can predict future events and inform important decision making. Combined with this is the understanding of data, including the larger sets of data used by modern technology. Statistical techniques, such as sampling and hypothesis testing, are used to analyse and present data in a rigorous and meaningful way.

Further Mathematics is a second qualification that can be taken in addition to A level Mathematics. This aims to provide an opportunity for enthusiastic mathematicians to broaden and deepen their subject knowledge. It is most suitable for students who are thinking of studying for a Mathematics, Engineering, Physics or similar degree. It is also suitable for those students who simply love Mathematics and want to devote more time to studying wider aspects of the subject.

At Burgess Hill Girls, A level courses in Mathematics and Further Mathematics are a popular choice. Our experienced teachers recognise the need to support the individual needs of every girl, regardless of their reasons for choosing to study these subjects. Support for girls aiming to study Mathematics at Oxbridge and other universities is offered, as well as competitions, trips and other events that aim to develop the mathematical curiosity and enthusiasm of our students.



PAPER 1: Pure Mathematics and Mechanics

PAPER 2: Pure Mathematics and Statistics

PAPER 3: Pure Mathematics and Comprehension


PAPER 1: Pure (Core) Mathematics

PAPER 2: Minor Option (Numerical Methods)

PAPER 3: Minor Option (Statistics)

PAPER 4: Minor Option (Mechanics)

OCR (MEI) Mathematics
(Course code H640)

• 36.4% of A level

• 36.4% of A level

• 27.3% of A level

OCR (MEI) Further Mathematics
(Course code H645)

• 50% of A level

• 16.6% of A level

• 16.6% of A level

• 16.6% of A level


Computer technology is part of just about everything that touches our lives, from the cars we drive, to the films we watch, to the ways businesses and governments work. We are all users of computer technology.

But how do our smartphones and laptops work? How is it possible to share messages, photos, music and videos from one side of the planet to the other within a few seconds? How can technology be programmed to play games, understand speech, drive cars and control power stations? Studying Computer Science can answer these questions and many more by ‘lifting the lid’ on technology to explore a hidden world of electronics and code. And, in a field often dominated by the latest gadgets and applications, Computer Science also explores the underlying principles and techniques which have underpinned a constantly changing technological landscape for many years.

As well as explaining how technology works, Computer Science also develops other capabilities in understanding and solving problems. Designing, developing and testing applications and hardware devices can be a challenging, creative and highly rewarding experience. Learning how to think algorithmically, together with the computational thinking skills of decomposition and abstraction help build a powerful problem-solving toolkit that can be put to use in a wide range of areas.

At A level, key components of modern computer systems are explored in depth, looking at both the hardware and software that combine to make a complete system. The storage and management of data, an increasingly significant feature of computing applications, is also studied and programming skills are developed, alongside the study of important techniques such as pattern recognition, searching and sorting. Other areas of study include communications and the internet, and the issue of cyber security is covered in detail.

Creating software is a significant part of the course and, in the final year, students showcase their programming skills by analysing, designing, coding, testing and evaluating a substantial programming task.

Studying computing and computer technology is also good preparation for a future where technology will continue to dominate nearly every profession. There can be little doubt that knowledge and skills in this field will continue to be highly sought-after by future employers.


PAPER 1: Computer Systems

PAPER 2: Algorithms and Programming

PAPER 3: Programming Project


OCR A level Computer Science
(Course code H446)

PAPER 1: WRITTEN EXAM                                                                                                                               2 hour 30 minutes
• 40% of A level

PAPER 2: WRITTEN EXAM                                                                                                                               1 hour 45 minutes
• 40% of A level

• 20% of A level