A-Level Computer Science: Turn Confusion Into Clean, Exam-Ready Answers

A-Level Computer Science can feel like two subjects at once: tricky theory and coding that breaks for no obvious reason. My tutoring makes both sides click. We’ll simplify the concepts, practise exam-style questions, and build real confidence through guided programming tasks. You’ll learn how to think like the mark scheme, fix common mistakes fast, and revise in the right order — so your effort turns into measurable grade improvement, not endless “kind of understanding”.

You’ll learn the stuff that actually comes up, in a way that makes sense. We break topics down into simple steps, then build you back up with exam questions, feedback, and revision plans—so your marks rise because your method improves, not because you “worked harder”.

I was stuck at a C because my theory answers were too vague. I learned exactly what to write and jumped to an A in mocks.
BhavanYear 13 (Grade 4 → 7)
Programming stopped feeling random. I can actually debug and explain my code now — my confidence went way up.”
TomYear 12 (Confidence boost in 6 weeks)
NEA was overwhelming until we broke it into weekly goals. I finished on time with clear documentation.
Sophie LamParent of Year 13 student

60-Second Computer Science Check

1) What do you struggle with most right now?









2) What’s your current working grade?





3) What’s the biggest thing holding you back?





How we teach GCSE Computer Science

What We’ll Cover (A-Level Computer Science Curriculum)

Aligned to AQA / OCR / Edexcel / WJEC (and tailored to your course).

Programming & Software Development

  • Programming fundamentals: variables, selection, iteration, functions

  • OOP basics (where relevant): classes, objects, methods

  • File handling and data input/output

  • Writing clean solutions (not just “it runs”)

  • Testing strategies + common pitfalls

  • Debugging skills: reading errors, tracing, using print/debug tools

  • Exam coding technique: pseudocode → plan → implement → test

Algorithms & Problem Solving

  • Computational thinking: decomposition, abstraction, pattern spotting

  • Algorithm design: iteration vs recursion, efficiency trade-offs

  • Standard algorithms: sorting (bubble/insertion/merge), searching (linear/binary)

  • Graph/tree basics where applicable

  • Big-O notation & performance reasoning (in exam-friendly language)

Data Representation

  • Binary, hexadecimal, overflow, two’s complement

  • Data types, encoding (text/images/sound)

  • Compression concepts (lossy vs lossless)

  • Boolean algebra and logic gates

Computer Systems & Architecture

  • CPU structure: fetch-decode-execute cycle

  • Registers, buses, memory hierarchy, caches

  • Assembly / low-level concepts (where required)

  • Operating systems: processes, memory management, scheduling basics

Networks, Databases & The Web

  • Network types, topologies, protocols, layers/models

  • IP, DNS, HTTP/HTTPS, latency & bandwidth

  • Cybersecurity fundamentals: threats, vulnerabilities, prevention

  • Databases: relational design, normalisation basics, SQL queries

Theory & Exam Writing

  • Laws, ethics, environmental impacts, social implications

  • How to structure longer answers using mark scheme “triggers”

  • Command words + how to avoid vague responses

NEA / Coursework Support (if your spec includes it)

  • Choosing a good project scope

  • Analysis/design documentation made simple

  • Iterative development + testing evidence

  • Writing up evaluation that meets top-band criteria
    (Support is guidance-focused — you still produce your own work.)

Key
statistics

grades average improvement after 10–12 weeks of consistent tuition
+ 0
of students report higher confidence in Chemistry tests within one half-term
0 %
exam questions practised per student (with feedback) across a typical term
+ 0

Your questions answered

Common questions

Most commonly Python, but I can support Java/C#/others depending on your course. The key is building transferable problem-solving skills.

Yes — AQA, OCR, Edexcel, WJEC. Lessons use exam-board-style questions and mark schemes.

Usually it’s exam technique: incomplete logic, missing edge cases, unclear pseudocode, or not explaining reasoning. We fix that directly.

Yes — planning, structure, testing strategy, and write-up guidance. You’ll keep full ownership of the work.

Weekly is ideal for steady progress; twice weekly works well close to mocks/exams or during NEA crunch time.

Yes — short, targeted tasks (coding exercises or exam questions) so each session builds on the last.

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