How to Get an A* in A Level Computer Science

Robert Hampton

Written by: Robert Hampton

Reviewed by: James Woodhouse

Published

Text reads "How to Get an A* in A Level Computer Science?" alongside hands holding a letter showing A Level results with an A* grade.

Want to know how to get an A* in A Level Computer Science? You're in the right place. This guide reveals proven strategies that go beyond just revision. 

Whether you're aiming for top marks or pushing yourself into the A* bracket, this article will show you what truly sets apart the highest-performing students. From mastering exam technique to thinking like a computer scientist, these tips will give you the edge in both your coursework and final exams.

Know the spec inside out

Too many students revise without knowing exactly what they need to learn. The first step towards an A* is understanding your exam board specification line by line. That means being able to answer these questions for every topic:

  • What are the key definitions and vocabulary?

  • What kinds of questions are likely to be asked?

  • How is each point assessed; is it theory, practical, or both?

Turn each spec point into a quiz question or flashcard. This forces you to actively process the information and identify gaps.

Nail your programming skills

Computer Science is a unique subject, it's not enough to just know theory. To get an A*, you need to be confident, fluent, and fast at programming.

  • Practice problem-solving regularly (not just big coursework projects).

  • Learn your language's built-in functions and libraries.

  • Revisit the basics: loops, subroutines, arrays, file handling, until they’re second nature.

WHILE TRUE

    OUTPUT "Enter a number (-1 to quit): "

    INPUT number

    IF number = -1 THEN

        OUTPUT "Goodbye!"

        BREAK

    ENDIF

    IF number MOD 2 = 0 THEN

        OUTPUT "That number is even."

    ELSE

        OUTPUT "That number is odd."

    ENDIF

ENDWHILE

Use past paper questions with coding tasks. Break them down, solve them by hand, then code the solution. Speed and accuracy count in the real exam.

Master exam technique

Even students who understand the content sometimes drop marks because of poor exam technique. Here’s how A* students approach the paper:

  • Highlight command words like "explain", "describe", "compare" — they tell you how to answer.

  • Plan long answers before you write. Use keywords from the mark scheme.

  • Practice timed papers to build exam stamina and reduce stress.

For long-answer questions, use a structure like PEEL (Point, Evidence, Explanation, Link) to stay clear and focused.

Don’t just learn, teach

Teaching others is one of the best ways to deepen your understanding. If you can explain a concept clearly, you really get it.

Try this:

  • Start a revision group and take turns teaching topics.

  • Write simplified notes for someone one year below you.

  • Record short videos explaining a concept and watch them back critically.

Try explaining recursion to a non-CS friend. If they understand it, you’ve nailed it.

Use your coursework to boost your grade

Your NEA (Non-Exam Assessment) is a major chance to shine. It’s worth 20% of your final grade, and A* students maximise this opportunity.

  • Pick a project that stretches you but fits within your ability.

  • Keep your code clean, commented, and well-tested.

  • Spend serious time on your evaluation, this is where many students miss easy marks.

Use your spec to guide each section of your write-up. Treat it like a checklist.

Common Mistakes to Avoid

Even the most hard-working students can fall into traps that hold them back from achieving an A*. Avoiding these mistakes could be the difference between an A and an A* in A Level Computer Science.

1. Focusing too much on memorisation

While it’s important to know your definitions and theory, Computer Science is not just a memory test. Students who try to rote-learn the content often struggle to apply it in unfamiliar contexts, especially in long-answer or logic-based questions.

Instead of just memorising, focus on applying your knowledge. For example, don’t just learn the definition of a binary search. Code one, trace it by hand, and explain it to someone else. The examiners want to see that you can use what you know, not just repeat it.

2. Leaving programming practice too late

It’s easy to prioritise theory-heavy topics when revising, but programming confidence takes time to build. Students who delay this often panic during the NEA or when faced with programming logic in the exam.

The top students practise programming little and often. Even 15 minutes a day can make a difference. Focus on solving small problems such as string manipulation, file handling, or recursion, and revisit them regularly. Waiting until the NEA deadline or the final term to improve your coding is a common and costly mistake.

3. Ignoring past papers until the end

Too many students treat past papers like a final mock test, something to save for the very end of revision. But they are actually one of your most powerful learning tools and should be part of your preparation from the beginning.

Doing past papers early helps you understand how questions are structured, spot recurring topics, and get familiar with timing and command words. Don’t just do the paper and move on. Mark it using the official mark scheme, analyse where you lost marks, and identify how to improve. This kind of active review is what pushes students into the A* range.

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Robert Hampton

Author: Robert Hampton

Expertise: Computer Science Content Creator

Rob has over 16 years' experience teaching Computer Science and ICT at KS3 & GCSE levels. Rob has demonstrated strong leadership as Head of Department since 2012 and previously supported teacher development as a Specialist Leader of Education, empowering departments to excel in Computer Science. Beyond his tech expertise, Robert embraces the virtual world as an avid gamer, conquering digital battlefields when he's not coding.

James Woodhouse

Reviewer: James Woodhouse

Expertise: Computer Science Lead

James graduated from the University of Sunderland with a degree in ICT and Computing education. He has over 14 years of experience both teaching and leading in Computer Science, specialising in teaching GCSE and A-level. James has held various leadership roles, including Head of Computer Science and coordinator positions for Key Stage 3 and Key Stage 4. James has a keen interest in networking security and technologies aimed at preventing security breaches.

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