📌 This guide explains Cambridge IGCSE Computer Science 0478 and 0984, including the current 2026–2028 syllabus and the major changes beginning with examinations from 2029.
What is Cambridge IGCSE Computer Science?
Cambridge IGCSE Computer Science develops computational thinking, problem-solving, algorithms, programming and an understanding of computer systems and emerging technologies. It provides a foundation for further study in Computer Science and related areas.
Cambridge offers Computer Science under syllabus codes including 0478 and 0984. The two codes should not be treated as completely different Computer Science syllabuses.
Difference Between IGCSE Computer Science 0478 and 0984
One of the most common questions from students and parents is: “What is the difference between 0478 and 0984?”
According to Cambridge, the key distinction is the grading scale. 0984 is the 9–1 graded version, while 0478 uses the A*–G grading scale. Cambridge states that the content is otherwise the same.
- 0478: Cambridge IGCSE Computer Science with A*–G grading.
- 0984: Cambridge IGCSE (9–1) Computer Science.
- Content: Cambridge states that 0984 is otherwise the same in content as 0478.
- Preparation: Students should follow the syllabus code and examination year entered by their school.
IGCSE Computer Science 2026–2028 Exam Structure
For the current 2026–2028 syllabus, Cambridge IGCSE Computer Science consists of two written papers.
📘 Paper 1 – Computer Systems
Paper 1 assesses knowledge and understanding of computer systems and related concepts. It accounts for 50% of the qualification.
💻 Paper 2 – Algorithms, Programming and Logic
Paper 2 assesses algorithms, programming and logic. It accounts for 50% of the qualification and includes a scenario-based question.
Complete IGCSE Computer Science Syllabus Topics
The 2026–2028 Cambridge IGCSE Computer Science syllabus covers the following broad areas:
1) Data Representation
- Binary, denary and hexadecimal
- Text representation
- Image representation
- Sound representation
- Data storage and file size
2) Data Transmission
- Packets and packet switching
- Transmission methods
- Transmission media
- Error detection and correction
- Security considerations
3) Hardware
- CPU components and functions
- Primary and secondary storage
- Input and output devices
- Types of computer
- Embedded systems
4) Software
- Operating systems
- Utility software
- Types of programming language
- Translators
- Integrated development environments
5) The Internet and Its Uses
- Internet concepts
- World Wide Web
- Web technologies
- Internet security
- Digital communication and online services
6) Automated and Emerging Technologies
- Automated systems
- Robotics
- Artificial intelligence
- Emerging technologies
- Social, ethical and environmental considerations
7) Algorithm Design and Problem-Solving
- Algorithms
- Problem-solving techniques
- Flowcharts
- Pseudocode
- Trace tables
- Testing and validation
8) Programming
- Variables and constants
- Data types
- Input and output
- Selection
- Iteration
- Arrays and strings
- Subroutines
- File handling
- Validation and testing
9) Databases
- Database concepts
- Tables, records and fields
- Primary keys
- Database queries
- SQL
10) Boolean Logic
- Logic gates
- Truth tables
- Boolean expressions
- Logic circuits
How to Prepare for IGCSE Computer Science
Successful preparation requires both conceptual understanding and regular practice. Students should divide their preparation between theory, algorithms, programming and examination practice.
- Understand concepts: Learn why a technology or algorithm works instead of only memorising definitions.
- Practice algorithms: Work regularly with pseudocode, flowcharts and trace tables for the 2026–2028 syllabus.
- Practice programming: Develop programs involving selection, iteration, arrays, strings, subroutines and validation.
- Use past papers: Practise answering questions under examination conditions.
- Review mistakes: Keep track of recurring errors and revise those concepts.
- Follow the correct syllabus year: Make sure your notes and practice papers match your examination year.
Programming Preparation for IGCSE Computer Science
Programming is an important part of the algorithms and programming component. Students should develop the ability to understand a problem, design an algorithm, write a solution, test it and correct errors.
Useful Programming Areas to Practise
- Variables and data types
- Input and output
- Selection and conditions
- For and while loops
- Arrays and strings
- Subroutines
- Searching and sorting concepts
- Validation and testing
- File handling
2029–2031 IGCSE Computer Science Syllabus Changes
Cambridge has announced significant changes for the syllabus used for examinations from 2029 onwards.
- Pseudocode has been removed.
- Python 3 is specified as the only language for teaching, assessment and programming questions.
- The syllabus places greater emphasis on practical, real-world programming.
- New and expanded areas include topics such as AI, machine learning, networking and emerging technologies.
- The Paper 2 assessment structure has been redesigned.
- Calculators are allowed under the new syllabus.
Common IGCSE Computer Science Preparation Mistakes
- Studying only theory without solving programming and algorithm questions.
- Memorising definitions without understanding their applications.
- Ignoring trace tables and algorithm tracing.
- Practising from a different syllabus year.
- Starting past-paper practice only shortly before the examination.
- Not reviewing mistakes after completing practice questions.
A balanced preparation plan should combine theory revision, programming practice, algorithm questions and past-paper analysis.
Why Students Choose Personal Tuition for IGCSE Computer Science
Computer Science requires students to apply concepts rather than simply memorise information. Personal tuition can provide structured practice and individual feedback according to a student's current level.
- Individual attention for difficult topics
- Programming and algorithm practice
- Past-paper guidance
- Identification of recurring mistakes
- Exam-oriented revision
- Support with theory and problem-solving
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FAQ – IGCSE Computer Science 0478 & 0984
What is the difference between IGCSE Computer Science 0478 and 0984?
Cambridge states that 0984 is the 9–1 graded version of the Computer Science syllabus and is otherwise the same in content as 0478. Students should check the syllabus code and grading route entered by their school.
What is the exam structure for 2026–2028?
The 2026–2028 syllabus has two papers: Paper 1, Computer Systems, and Paper 2, Algorithms, Programming and Logic. Each paper carries 50% of the qualification.
Is pseudocode required for the 2026–2028 syllabus?
Yes. Pseudocode remains part of the 2026–2028 syllabus. Cambridge removes pseudocode from the syllabus beginning with examinations from 2029.
Is Python compulsory for the 2026–2028 syllabus?
The 2026–2028 syllabus should be followed according to the programming requirements applicable to the student's course and examination. From 2029, Cambridge specifies Python 3 as the only language for teaching, assessment and programming questions.
What programming topics should I practise?
Students should practise core programming and problem-solving skills such as variables, data types, selection, iteration, arrays, strings, subroutines, validation, testing and file handling, according to the applicable syllabus.
Do past papers help with IGCSE Computer Science preparation?
Past papers can help students become familiar with question formats, practise applying concepts and identify areas that need further revision. They should be matched to the correct syllabus and examination year.
Does Amit Sir provide IGCSE Computer Science tuition online?
Yes. Amit Sir provides online IGCSE Computer Science tuition with programming practice, theory preparation, exam guidance and past-paper support.