GCSE Computer Science – Eduqas


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The next cohort will begin in September 2024.

Applications are now open!


GCSE Computer Science – Eduqas

This is a comprehensive curriculum for GCSE Computer Science, covering a wide range of topics from hardware and logical operations to networking, cybersecurity, and the impacts of digital technology on society. The key components are:


Understanding the CPU, primary and secondary storage, embedded systems, and additional hardware components like GPUs and motherboards.

Logical Operations

Knowledge of logical operators (AND, OR, NOT, XOR) and Boolean logic simplification.

Networking and Cybersecurity

Characteristics of networks, network topologies, networking hardware, OSI model, networking protocols, internet structure, and cybersecurity threats and protections.

Data Representation and Storage

Data types, number representation, character encoding, graphics and sound storage, and data compression.

Data Organisation

Design and manipulation of data structures and file design.

Operating Systems

The role of operating systems in managing various computer resources and utility software.

Principles of Programming

Understanding high-level and low-level languages and their appropriate use.

Algorithms and Constructs

Defining algorithms using pseudo-code and flowcharts, sorting and searching algorithms, and data validation and verification.

Software Development

Use of IDE tools and understanding the software development process.

Program Construction

The role of program translators (compilers, interpreters, assemblers) and the compilation process.

Impacts of Digital Technology

Ethical, legal, cultural, environmental, and privacy issues related to computer systems and the importance of professional standards.

Each topic requires a deep understanding of the concepts and the ability to apply this knowledge practically.

The curriculum also focuses on the methodologies and skills required to analyse, design, implement, test, and refine software systems.

The key areas are:


Apply a systematic approach to problem-solving using decomposition and abstraction.

Model aspects of the external world in an algorithm or program.

Structure programs into modular parts with clear interfaces.

Analyse requirements.

Program solutions that meet requirements.


Design and document user interface input/output facilities.

Document required data structures.

Design routines for validation, verification, and authentication using pseudo code.


Design, write, test, and refine Python 3 code.

Create and extend functions, objects, and libraries.

Utilize various data types and programming constructs.

Perform basic file handling and data structure manipulation.

Develop intuitive graphical user interfaces with Python 3 libraries.


Design an effective testing strategy.

Use outcomes of testing to inform further development.

Design test data for typical, extreme, and erroneous cases.

Implement and document a test plan.

Present detailed test outcomes and commentaries.


Understand and adapt to revised requirements.

Present evidence of developmental changes.

Test and refine code to improve efficiency.

Evaluate different approaches to meet requirements.

Understand technical terminology and concepts used in software development.

This comprehensive approach ensures that candidates are well-equipped to tackle real-world problems using computational thinking and programming skills. 



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