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Faculty: Creative and Technical
Subject: A-level Computer Science
Staff and responsibility: Mr Barton – Subject Lead, Mr Siwak
Exam Board: OCR
Assessment Format
Paper 1: Computer Systems
Assessment Type: Written exam
Duration: 2 hours and 30 minutes
Marks: 140
Weighting: 40% of A-Level
Structure:
Covers fundamental concepts of computer science, including:
- The characteristics of contemporary processors, input, output and storage devices
- Software and software development
- How data is exchanged between different systems
- Data types, structures, and algorithms
- Legal, moral, cultural, and ethical issues
Question types for this paper include multiple choice, short answer, and extended response questions.
Paper 2: Algorithms and Programming
Assessment Type: Written exam
Duration: 2 hours and 30 minutes
Marks: 140
Weighting: 40% of A-Level
Structure:
Focuses on problem-solving and computational thinking, with emphasis on:
- Problem solving and programming
- Algorithms
- Principles of software development
- Big data and databases
Question types for this paper include a mix of practical-based questions, scenario analysis, and theoretical questions.
Non-Exam Assessment (NEA): Programming Project
Assessment Type: Coursework
Weighting: 20% of A-Level
Structure:
- Students create a programmed solution to a problem of their choice.
- Project involves defining and analysing the problem, designing and developing a solution, and evaluating the results.
- Emphasis on independent research, programming proficiency, and project management skills.
Subject Overview
The A-Level Computer Science curriculum enables students to develop deep analytical skills, an understanding of computational processes, and proficiency in programming. These skills are reinforced through a mix of theoretical study and hands-on project work, preparing students for further study or work in tech-intensive fields.
What does this subject prepare you for?
Computer Science is a dynamic and highly applicable field that opens doors to a wide range of career and educational paths. This qualification is valued for its focus on problem-solving, logical thinking, and technical skills.
Career pathways include:
- Software Development
- Cybersecurity
- Data Analysis
- Artificial Intelligence
- Network Engineering
- IT Consultancy
Students can also pursue higher education in fields such as Computer Science, Artificial Intelligence, Data Science, and Cybersecurity, making it a versatile choice for tech-oriented or STEM-related careers.
