Computer Science

Exam Board:

Pearson

What will I study on the course:

You will develop computational thinking, problem-solving, and programming skills while understanding how computers and digital systems work. Key topics include:

  • Fundamentals of algorithms (designing, representing, and analysing algorithms; searching and sorting).
  • Programming (fundamentals like variables, data types, sequences, selection, iteration; robust programming with validation, testing, and error handling; using a high-level language, typically Python in schools).
  • Fundamentals of data representation (number systems: binary, hexadecimal; characters, images, sound; data compression).
  • Computer systems (hardware components, CPU architecture, memory/storage, input/output devices).
  • Computer networks, connections, and protocols (types of networks, topologies, wired/wireless, protocols like HTTP, FTP).
  • Cyber security (threats like malware, phishing; prevention methods).
  • Ethical, legal, cultural, and environmental impacts of digital technology.
  • Software development (systems analysis, design, testing, maintenance). The course emphasises practical coding (you’ll write, test, and debug programs) and applying concepts to real-world scenarios.

How is the course assessed:

100% exam-based (linear, all exams at the end of the course): Two papers (each 1 hour 30 minutes, 80 marks, 50% of GCSE):

  • Paper 1: Computational thinking and programming fundamentals – Focuses on algorithms, programming, logic, and includes questions requiring you to write/trace/analyse code (often in pseudocode or a specific language like Python).
  • Paper 2: Computer systems – Covers data representation, computer systems, networks, cyber security, and ethical/legal impacts. Questions range from multiple-choice and short-answer to extended programming tasks and problem-solving. No separate coursework or NEA (non-exam assessment) in the current specification; calculators not allowed. No tiers (single papers for all abilities, graded 9-1).

Post-16 courses:

A Level Computer Science, A Level Information Technology, Level 3 BTEC National in Computing/IT, T Levels in Digital Production, Design & Development or Digital Support Services, or apprenticeships in software development/cyber security. A strong GCSE grade (5+ or 6+) is typically required for A Level Computer Science.

Careers:

Software developer/engineer, web/app developer, cybersecurity specialist, data analyst/scientist, network engineer, games developer, AI specialist, IT consultant, systems analyst, or roles in tech, finance, healthcare, gaming, government, and emerging fields like robotics or cloud computing. Computing skills are in massive demand across all industries, with excellent job prospects, high salaries, and opportunities in the UK’s thriving digital economy.

Specific advantages:

The course fosters logical reasoning, creativity through coding, and resilience in debugging – skills that are fun and rewarding for those who enjoy problem-solving. It’s practical (lots of programming), relevant to modern life (e.g., understanding apps, security, AI), and no prior experience is needed. At Discovery Academy, it aligns well with digital/vocational pathways, building on KS3 ICT and preparing you for a tech-driven future without heavy theory overload.

How useful it is in the real world:

Extremely useful – in a digital-first world, computing knowledge is essential for most jobs, from using software efficiently to understanding data privacy, automation, and emerging tech like AI. Employers prize computational thinking, coding, and problem-solving for innovation, efficiency, and security. It equips you for high-demand, well-paid careers (with strong growth in the UK tech sector), enhances everyday skills (e.g., online safety, logical decision-making), and supports entrepreneurship or adapting to future technologies. GCSE Computer Science is a powerful, future-proof qualification that boosts employability, opens doors to apprenticeships/university, and helps you thrive in an increasingly automated and connected society.

← Go Back