Computer Science

On this course you will:

• Gain insight into computation in thinking: the vital reasoning process that powers both human thought and machine intelligence
• Explore how artificial intelligence (AI) is reshaping our world and gain the skills to develop ethical, intelligent systems that solve real-world challenges. Conduct experiments to learn more about the natural world through software simulations
• Step into the front lines of digital security while exploring the complex ethical implications of AI and privacy in a connected world
• Sharpen your competitive edge with high-level skills in abstract thinking, mathematical reasoning and logical problem-solving
• Dive deep into the essential pillars of technology including programming (C#, Assembly, SQL), computer architecture and operating systems

Computer Science is distinct from ICT and is a much more scientific and technical subject. In general, it is suitable for students who have an interest in programming and how computers work, or who may be considering studying a related degree at university.

The course has an emphasis on computational thinking: a kind of reasoning used by both humans and machines and is an important life skill. The study of computation is about what can be computed and how to then do the computation. Computer Science involves questions that have the potential to change how we view the world; for example, we may be computing with DNA at some stage in the future, with computer circuits made of genes. This leads to the question, does the natural world ‘compute’? Experimental Computer Science can be done with computers whereby we can learn more about the natural world by observing the behaviour of interacting software in a simulations.

Computer Science is about designing new sets of instructions (algorithms) to solve new problems. In this sense Computer Science is no more about computers than astronomy is about telescopes. Many great challenges lie in the future for Computer Scientists to solve and this course, with its emphasis on abstract thinking, general problem-solving, mathematical reasoning, scientific and engineering-based thinking, is a good foundation for understanding these future challenges.

Examination, with some coursework in the second year. 80% examination and 20% assessed coursework (non-exam assessment).

Paper 1 – 2 hour 30 min on-screen exam: Covering your programming skills, knowledge of algorithms and the theory of computation.

Paper 2 – 2 hour 30 min written exam: Covering your theoretical knowledge of architecture, databases, Big Data, networking and ethical impacts of computing.

Practical project: A non-exam assessment of ability to use the knowledge and skills gained through the course to solve or investigate a practical problem. Students will be expected to follow a systematic approach to problem solving.

You will need eight GCSEs at grade 4 or above, including grade 4 in English Language, grade 6 in Maths, grade 6 in Physics or grade 66 in science.

You are advised to study A Level Maths alongside this A Level, and this is essential to progress to Computer Science at a top university. Students who don’t take Maths A level and have a 6 at GCSE will take an additional compulsory course to support their studies.