IGCSE

IGCSE 2026 Exam Trends: Cambridge Computer Science 0478 – What’s Changing and What to Focus On

Tutopiya Team
• 11 min read
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Cambridge IGCSE Computer Science (0478) tests theory (Paper 1) and problem-solving and programming (Paper 2). Here are recent trends for 2026.

Paper format and structure

  • Paper 1 – Theory (e.g. data representation, hardware, software, networks, security, ethics). Paper 2 – Problem-solving and programming (pseudocode, algorithms, trace tables). Structure is unchanged for 2025–2026.
  • Programming is tested via pseudocode (or a specified high-level language in some options). Trace tables, dry runs, and correcting or completing code are common.
  • Theory includes binary/hex, logic gates, hardware (CPU, memory, storage), software (OS, translators), networks (protocols, security), and impact (ethical, environmental).

Question types and topics that keep coming up

  • Algorithms and pseudocode: Writing algorithms (e.g. search, sort, validation); tracing with given data; identifying purpose or output; correcting errors. Logic and structure (loops, conditionals) are tested.
  • Data representation: Binary, hex, character representation (ASCII/Unicode); images (resolution, colour depth); sound. Calculations (e.g. file size, range of values) appear regularly.
  • Hardware and software: Role of CPU components; memory (RAM, ROM); storage; OS functions; translators (compiler vs interpreter). Application to scenarios (e.g. choosing a device for a task) is common.
  • Networks and security: Protocols (e.g. TCP/IP, HTTP); security (encryption, authentication, threats); ethical and legal issues (e.g. privacy, copyright).

Are papers getting easier or harder?

  • Standards are maintained via grade boundaries. Reports highlight recurring issues: trace errors (wrong variable values, missing steps); vague theory answers without specific terms; incomplete or incorrect pseudocode (e.g. off-by-one, wrong condition).
  • No reported shift in difficulty; accuracy in tracing and precision in theory are key.

Similarity to past papers and predictability

  • Format and syllabus coverage match past series. Past papers are a good guide to pseudocode style and theory question types.
  • Topics are predictable; scenarios and data vary. Trace tables and algorithm design are consistent question types.
  • Exact questions are not predictable; marking focus (correct trace, correct terminology, working code logic) is.

Examiner expectations and marking

  • Pseudocode: Must follow the syllabus notation; logic must be correct (correct output for given input). Indentation and structure matter for readability and marking.
  • Trace tables: Every step must be shown; variable values must be correct at each stage. One wrong step can affect subsequent marks.
  • Theory: Correct terminology (e.g. “ALU”, “protocol”, “encryption”); explanation where asked (e.g. why a translator is used). Vague answers score partial or no credit.
  • Marking follows the published scheme; no indication of marking becoming harsher.

Assessment style and skills in demand

  • Algorithmic thinking – design, trace, correct; logic over syntax.
  • Precision – in traces, definitions, and explanations.
  • Application – to scenarios (e.g. choosing hardware, explaining a security measure).

Focus areas for 2026 revision

  1. Trace tables – practise full traces; show every step; check loop conditions and bounds.
  2. Pseudocode – write and correct algorithms; use correct syllabus notation; check loop logic (e.g. start/end values).
  3. Data representation – binary/hex conversion; file size; character encoding.
  4. Theory – learn precise definitions; explain with correct terms (hardware, software, networks, security).
  5. Past papers – under timed conditions; match answers to mark scheme wording.

How Tutopiya supports IGCSE Computer Science 0478

Tutopiya provides past papers and tutor support for Cambridge Computer Science 0478. Explore resources or book a free trial.


Based on current syllabus and examiner reports. Always use the latest Cambridge 0478 syllabus for your series.

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