Computer science has challenged me in various ways and has immensely improved my problem solving, critical thinking and analytical skills
Sairish Khan
A Level, OCR
Course Description
Students who study Computer Science will be challenged and inspired to apply the knowledge they gain with the creative and technical skills that they acquire. The qualification will be focused on programming and computational thinking and will build on the knowledge base acquired on the GCSE course. Throughout the two-year course you will have the opportunity to solve problems using a range of programming tools; including C#, JavaScript, SQL, HTML and CSS.
Entry Requirements
APS of 5.5 or above
GCSE English Language grade 4 or above
GCSE Mathematics grade 4 or above
Where a 7 in Mathematics is secured, an APS below 5.5 will be considered.
Course Content
Component 01 – Computer Systems
This component will introduce students to the internal workings of the Central Processing Unit (CPU), the exchange of data and will also look at software development, data types and legal and ethical issues. It will also offer the opportunity for students to analyse and design algorithms, and to study different types of software together with the methodologies that are used to develop them. This component involves advanced mathematics, including the representation and normalisation of floating-point numbers, the simplification of Boolean expressions, the use of two’s complement to represent numbers in binary, and using rules to derive or simplify Boolean expressions.
Component 02 – Algorithms and Programming
This component will incorporate and build on the knowledge and understanding gained in component 01. In addition, you will study:
- What is meant by computational thinking
- The benefits of applying computational thinking to solving a wide variety of problems
- The principles of solving problems by computational methods
- Using algorithms to describe problems
- Analysing a problem by identifying its component parts
This component focuses heavily on the reading and writing of complex algorithms including Dijkstra’s shortest path algorithm and the A* algorithm. Again, Mathematics is a feature of this unit, including the use of Big-O notation to assess the complexity, in terms of time and space, of an algorithm.
Component 03 – Programming Project
Students will be expected to analyse, design, develop, test, evaluate and document a program written in C# using the Unity development environment. The underlying approach to the project is to apply the principles of computational thinking to a practical coding problem. Students are expected to apply appropriate principles from an agile development approach to the project development. This project is independent, meaning students will need to debug their program and spend time focused on the development of a complex piece of software.
Assessment
Component 01 – Computer Systems:
Written exam, 2 hours 30 minutes (140 marks),
40% of A Level.
Component 02 – Algorithms and Programming:
Written exam, 2 hours 30 minutes (140 marks),
40% of A Level.
Component 03 – Programming Project:
20% Non-exam assessment (NEA).
Solve a problem with a solution created in C# and Unity.
Future Opportunities
Computer Science opens the door to a wide range of careers both within specialist IT companies and companies who use computers in industry, commerce, government service and the universities. Roles span technical innovation, management, analysis, consultancy, training and research. Jobs such as web designers, engineers and software developers all rely on a sound knowledge of Computer Science. It is also a highly regarded subject when it comes to entry for competitive places at higher education institutions.
Learners should always check the entry requirements for degree programmes with specific higher education providers.


