Computer Science
OVERVIEW
The OCR A-level Computer Science course covers a broad range of topics, giving students the skills and knowledge to understand how technology works in the real world and how to solve complex problems using technology.
You will develop practical programming skills, understand algorithms, design computer systems, analyse data and develop computational thinking.
This course is ideal for students interested in technology, engineering, problem-solving and innovation.
CURRICULUM OVERVIEW
The course breaks down into the following areas:
- Computer Systems: Learn how computers work, including hardware, software, and operating systems
- Algorithms and Programming: Develop programming skills in Python, Java, or similar languages and explore how algorithms solve problems.
- Data Representation: Understand how computers represent data in binary and use that knowledge to work with files, images, and sound.
- Networking and Cybersecurity: Study how networks operate, how data is transmitted, and the principles of securing systems.
- Problem-Solving & Software Development: Work on practical coding challenges and develop your own software applications.
Assessment of the course breaks down as follows:
- Component 1: Computer Systems (40%): A written exam covering hardware, software, networking, and cybersecurity.
- Component 2: Algorithms and Programming (40%): A written exam on algorithms, data structures, and programming concepts.
- Component 3: Non-Exam Assessment (NEA) (20%): A practical project where you’ll design, develop, and test a software solution to a real-world problem. Exams are held at the end of the two-year course. The NEA is a project-based assessment that takes place during the second year.
WHY STUDY COMPUTER SCIENCE?
There is a high demand for Computer Science skills. Many industries are looking for skilled computer scientists to drive innovation. The subject offers a wide range of career opportunities with fields such as software development, cybersecurity, artificial intelligence, and data analysis are booming.
It provides an excellent foundation for Higher Education, especially for further studies in computer science, engineering, and related fields.
Students can move on to engage in an innovative career field, becoming a part of shaping the future, from developing new technologies to solving global challenges.
This course will help students to understand how technology works in the real world, and enhances their problem-solving skills. It improves critical thinking and problem-solving abilities: The course teaches logical thinking, creative problem-solving, and how to break down complex tasks into manageable parts.
A computer science career progression typically involves starting as a developer or analyst, gaining experience, and then moving into roles like senior developer, team lead, UX or UI architect, or specialising in areas like cybersecurity, data science, or AI.
