How to Get an A or A* in Computer Science at the A level

If you’re aiming for an A or A* in Computer Science at A level, you’re not alone — but it’s far from easy. Only 24% of students achieved an A or A* in this subject in 2024, according to FFT Education Lab. The subject requires strategic preparation, consistent practice, and sharp exam technique.

In this blog, we’ll walk you through everything you need to know to boost your grade, from breaking down the A-Level Computer Science exam format to building smart study techniques and using helpful resources. Whether you’re looking for independent tips or support from a specialist, you’re in the right place.

If you’re looking for personalised support, our expert A-Level Computer Science Tutors can help. Join the 81% of surveyed students who raised their grade (Source: Spires Client Feedback Survey 2022).

A-Level Computer Science Exam Format

The A level Computer Science exam can be difficult to navigate at first, but understanding how it works is the first step toward improving your performance. The exam is split into theory and programming components, each testing different skill sets.

To prepare effectively:

• Use past papers and practice questions to familiarise yourself with the structure
• Review the specification carefully to ensure full topic coverage
• Watch examiner walkthroughs or mark scheme breakdowns to understand how answers are graded

The more you engage with the format early on, the more confident you’ll feel approaching each paper.

Exam Study Techniques

Improving in A level Computer Science depends on a combination of subject knowledge, preparation strategy, and consistent revision. The following techniques can help strengthen your approach:

• Use memory tools like mind maps and flashcards
• Take clear notes and summarise core principles in your own words
• Focus on time management during both revision and mock exams
• Practice different types of exam questions, especially under timed conditions
• Build fluency in Python, C++, or your chosen language to prepare for the programming paper

Solid programming skills and a structured revision plan make a noticeable difference when it comes to results.

Preparation for Exams

Preparing for the A-level Computer Science exam means building both technical understanding and exam technique. To improve your chances of earning an A or A*, you’ll need to study consistently and approach your revision with purpose.

Focus on core topics like:

• Data structures skills
• Algorithm design skills
• Arrays, lists, and other key skills
• Functions, procedures, and other essential concepts
• Analysis of algorithms and their real-world applications

Working with teachers or using online resources such as past exam papers can help solidify your A-level revision. This kind of preparation will sharpen your problem solving skills and make it easier to respond to any paper question confidently. Be sure to review material regularly and test yourself on different types of questions to stay exam-ready.

Memory-Boosting Methods

To get an A or A* in A-level Computer Science, you must retain large amounts of knowledge. Strong memory skills help you retain everything from computer architecture and networks to logic gates and object-oriented programming.

To improve your recall:

• Use mnemonic techniques and acronyms (e.g. “An Orange Notepad” for AND, OR, and NOT gates)
• Practice active recall and spaced repetition
• Stay healthy by exercising and eating well
• Make time for sleep and short breaks during study sessions
• Understand and revise key programming skills, including recursion and computer programming logic

Boosting memory isn’t just about repetition — it’s about linking ideas meaningfully and understanding how they apply to exam questions.

Don’t forget, A-level Computer Science requires more than rote learning. You need to develop your ability to reason, apply logic, and approach problems analytically.

For help mastering complex topics, connect with our expert A-Level Computer Science Tutors. One-to-one sessions can help you refine your understanding of key topics, improve your exam technique, and build the confidence you need to succeed.

Mind Maps

Students studying Computer Science at the A level can benefit from using mind maps to organise and simplify complex ideas. These visual tools are especially useful when reviewing broad or technical topics. For example, you can break down computer architecture, data representation, computational thinking, and elements of programming language into smaller, more manageable parts.

Although some argue that mind mapping lacks depth for certain A level Computer Science topics, many students find it helpful when trying to clarify how one concept connects to another. It can also support your ability to recall processes or apply a solution to a problem during the exam.

Mind maps are particularly effective during self-study, online learning, and revision sessions. They can support your understanding and help you visualise information clearly, which is important for achieving success in A-level Computer Science.

Mnemonics

Mnemonics can make it easier to remember difficult concepts in A-level Computer Science. Many students use them to retain key facts about operating systems, Boolean logic, or computer architecture. In fact, nearly 90% of students who use mnemonics for CIE A Level Computer Science achieve an A or A*.

To get the most from this technique:

• Focus on topics that frequently appear in assessments
• Turn important points into vivid patterns, acronyms, or rhymes
• Repeat regularly until the information becomes second nature

At this level of Computer Science, mnemonics can support students when preparing for exams or trying to remember content from online resources. They are especially useful for skills like programming or recalling abstract logic.

Creating mnemonics also encourages you to reflect on what matters. This strengthens recall and gives you another tool for tackling exam content effectively. To stay prepared across all areas, including ethics and law, build mnemonic devices for those skills as well.

Revision Textbooks & Guides

Over six million students sit Cambridge International A-level exams every year, many of them aiming for top grades in Computer Science A level. To support this, a wide range of revision resources are available to help simplify key topics such as programming languages, algorithms, software development, and general exam preparation.

High-quality textbooks and revision guides provide structured information, practical examples, and strategies for mastering the subject. These resources often include model answers and guidance on how to analyse questions and improve your exam performance.

Recommended resources include:

• Cambridge IGCSE™ Business Studies Revision Guide – Letts Educational
• Cambridge IGCSE Business Studies Study and Revision Guide – Karen Borrington
• Cambridge IGCSE ® and O Level Business Studies Second Edition Revision Guide – Cambridge University Press

You can also use Computer Science tutor materials to reinforce learning. These are available across levels, from GCSE Computer Science to university-level Computer Science degree content. Free online resources and structured self-study plans can further support your preparation.

Revision Methods: Practice Past Papers & More

If you’re working toward an A or A* in Computer Science A level, a strong revision routine is a must-have. You’ll need to cover key areas, including internet, communication systems, software engineering, computer systems, and foundational programming concepts.

Use a mix of revision notes, textbooks, practice papers, and trusted online resources to reinforce what you’ve learned. Aim to maximise your study time by identifying weak areas early and focusing on exam-style practice. It’s also important to analyse your performance regularly and adjust your methods based on feedback.

To stay on track:

• Create a schedule that includes time for revision, reflection, and practice
• Use tutors, peers, or experts to clarify complex ideas
• Revisit challenging topics with fresh strategies until they feel manageable

Developing a consistent approach will help you practise, revise, and build the confidence to succeed. As with any subject, the best way to learn a new skill is to practise it often and with purpose. Our A-Level Computer Science Tutors can help with coursework and evaluation, or topics such as binary search and computational complexity theory.

Time Management for A Level Computer Science

Achieving success in A-level Computer Science depends on how well you manage your time. If you get time management right, you can stay on top of your workload and reach your academic targets more effectively.

Staying organised isn’t always easy. For many students, managing coursework, deadlines, and revision requires effort and consistency. However, learning how to manage your schedule early on can make a meaningful difference.

Techniques for Saving Time

Good time habits make a real impact when you’re studying for A-level Computer Science. Staying efficient allows you to cover more material, revise with less stress, and maintain momentum across the academic year.

Here are a few time-saving tips for achieving top results:

• Start with familiar topics before tackling new ones
• Develop your skills in areas like cybersecurity and coding
• Practise consistently to make exams feel more manageable
• Use your predicted grades to set realistic goals and focus your efforts
• Break down large tasks and keep track of your progress each week

If you’re looking for more personalised support, working with experienced A-Level Computer Science Tutors can make a big difference. They can help you strengthen your knowledge, refine your revision strategy, and stay on track toward your final grade.

Understanding how to manage your time is just one part of the journey, but it lays the groundwork for long-term academic success.

Recognising Key Ideas & Topics

If you’re wondering about how to get an A or A* in A level Computer Science, it starts with mastering key Computer Science concepts. According to recent data, over 96% of students who earned an A had a thorough understanding of the core ideas that underpin the subject.

To build a solid foundation in your Computer Science course, focus on these three areas:

• Learn how artificial intelligence impacts computing and real-world systems
• Understand how binary and hexadecimal are used for efficient problem-solving
• Gain confidence when working with computers and digital logic

You’ll also want to create a study plan that helps you regularly review and apply these key concepts. Deepening your understanding here gives you a strong advantage when approaching advanced topics.

Skills in Algorithm Design

Developing the ability to design algorithms is a crucial part of A level Computer Science. You’ll need to work with binary and hexadecimal number systems, understand how to write clean code, and apply structured problem solving to earn top results.

To succeed in this area:

• Practise breaking down problems into logical steps
• Strengthen your grasp of coding for efficiency and clarity
• Focus on strategies that help you solve complex problems quickly and accurately
• Work through sample exams to become familiar with the types of challenges you might face

Effective algorithm design requires a thorough understanding of number systems, data formats, and logic structures. Students aiming for an A or A* should spend time refining both their skills and strategies as part of their overall computer science course revision plan.

Skills with Data Structures

How to get an A or A* in A-level Computer Science, you ask? Build data structure knowledge. Data structures help organise data in computer memory and support more efficient programming.

To develop this skill, focus on:

• Understanding the binary and hexadecimal systems
• Learning how programming data structures relate to real-world computing
• Revising key ideas like data representation, algorithm design, and computational thinking

These areas form the core of most Computer Science courses and appear frequently in assessments. Being able to explain and apply different structures, such as arrays and linked lists, will help you tackle even the most complex exam questions.

A confident programmer or computer scientist understands how data structures power everything from software development to hardware performance. Mastering this topic will support your goals and help you build fluency in broader computer science concepts.

Coding & Programming Skills

Your programming ability plays a major role in how well you perform in A level Computer Science. According to Cambridge University, 90% of A level Computer Science students develop essential programming skills by the time they complete the course.

To handle more advanced tasks, students need to be confident with algorithms, know how to code efficiently, and apply binary and hexadecimal systems. Solving problems often involves using data structures and logical reasoning.

Building these skills takes time and guidance. That’s why our experienced tutors focus on helping students develop a strong grasp of the fundamentals before progressing to more complex material. They break down technical concepts into manageable steps, making it easier to learn, apply, and build lasting confidence.

Ready to level up your grades? Find an A-Level Computer Science Tutor today.