A Level students take four papers in total:
- Paper 1: Theory Fundamentals
- Paper 2: Fundamental Problem-solving and Programming Skills
- Paper 3: Advanced Theory
- Paper 4: Practical Programming Project
International A-Level Computer Science
Master the Digital World — One Algorithm at a Time
Cambridge International A-level Computer Science (9618) offers students the opportunity to explore how computers work, how software is created, and how digital technologies shape the world around us. This course builds strong foundations in computational thinking, programming, and problem-solving — essential skills for the future of work and innovation.
STUDY A-LEVEL
COMPUTER SCIENCE WITH US
Learn to Think Like a Programmer
Develop algorithmic and logical thinking — not just technical knowledge.
100% Online and Accessible Anywhere
Study through interactive lessons, coding challenges, live classes, and expert support.
University and Career Ready
Gain skills that open doors to degrees in computer science, software engineering, data science, cybersecurity, and more.
Internationally Recognised Qualification
Based on the Cambridge International syllabus, accepted by leading universities worldwide.
WHAT
You’ll Learn
The Cambridge A-level Computer Science course is divided into AS topics, which form the foundation, and A Level topics, which deepen understanding in preparation for higher education and industry.
Information representation
Communication
Hardware
Processor fundamentals
System software
Security, privacy and data integrity
Ethics and Ownership
Databases
Algorithm design and problem-solving
Data types and structures
Programming
Software development
These topics are introduced at AS Level and revisited in greater detail at A Level, with advanced practical and theoretical applications.
Data representation
Hardware and Virtual Machines
System software
Security
Artificial Intelligence (AI)
Computational thinking and Problem-solving
Further programming
A Level students will build more complex solutions, use industry-relevant paradigms like OOP and functional programming, and work with real-world systems in areas such as database-driven applications and web-based platforms.
Assessment & Exams
A Level
AS Level
AS Level students take the following papers:
- Paper 1: Theory Fundamentals
- Paper 2: Fundamental Problem-solving and Programming Skills
All assessments test understanding of core computing principles, ability to solve complex problems, and practical coding capabilities.
Practical Programming & Coursework
Write and test code in high-level languages (such as Python or Java)
Build solutions to real-world problems
Complete structured tasks in software design and development
Practice modular, reusable, and readable code
📌 A Level candidates complete a structured coursework project demonstrating their ability to analyse, design, implement, test, and evaluate a full software system.
WHO is THIS
Course For?
This course is perfect for students who:
Are aged 16–19 and interested in technology, software, or engineering
Enjoy logical thinking, puzzles, and creating programs
Want to study Computer Science, AI, Cybersecurity, or Engineering at university
Have a foundation in mathematics and digital literacy
No prior programming experience is required, but familiarity with basic concepts (e.g., via IGCSE Computer Science) is helpful.
University Pathways
A-level Computer Science leads to degrees and careers in:
Software Engineering
Artificial Intelligence & Machine Learning
Cybersecurity
Data Science
Computer Engineering
Robotics & Embedded Systems
Web and App Development
Information Systems
Quick Facts
Qualification
Cambridge International A Level Computer Science (9618)
Duration
2 years (AS + A2)
Delivery
100% online (live + recorded)
Assessment
Written exams + programming project
Entry requirements
IGCSE Computer Science or strong interest in computing
Start Dates
During the academic year
HOW
We Teach
- Live coding classes + interactive lessons
- Hands-on programming exercises and mini-projects
- Recorded sessions for flexible revision
- Weekly assignments with detailed feedback
- Challenges to build algorithmic thinking
- 1-on-1 support from expert tutors