Computer Science and IT
Whether you want to uncover the secrets of the universe, or you just want to pursue a career in the 21st century, basic computer programming is an essential skill to learn.
Stephen Hawking.
The Computer Science and IT department at The Misbourne prides itself on being a forward-thinking department. Our outstanding provision ensures that students are given a modern and vibrant learning environment. Students are taught the principles of computing, how digital systems work and how to put this knowledge to use through programming.They are encouraged to experiment with software and learn transferable skills. The department also ensures that it caters to all students’ potential by offering a suite of vocational and academic courses that are fully tailored to each individual’s needs.
So, if you like Computer Science or IT and they are the right fit for you - why don't you click here to see where it can take you?
Year 7 Computing Curriculum
- Digital literacy & O365
- Introduction to computational thinking
- Computer Systems 1
- Block programming
- My Digital World (e-Safety)
- Graphics editing
Year 8 Computing Curriculum
- Data representation
- Computer Systems 2
- Back to the future – Pioneers of Computing and tasters of their work
- Computational thinking 2
- Textual programming
- Machine learning & Artificial Intelligence
Key Stage 4
GCSE Computer Science
The OCR GCSE Computer Science course gives students a real, in-depth understanding of how computer technology works including computer programming.
The new specification is split into two components:
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Component 01 Computer Systems |
This component is focused on computer systems covering the physical elements of computer science and the associated theory. It also looks at ethical, legal, cultural and environmental concerns associated with computer science. |
A written paper 1 hour 30-minutes 50% of total GCSE |
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Component 02 Computational Thinking, Algorithms and Programming
Practical programming |
This component is focused on the core theory of computer science and the application of computer science principles and the knowledge and understanding gained in component 1.
Programming tasks will be undertaken during the course of study to develop high-level programming language skills. |
A written paper 1 hour 30-minutes 50% of total GCSE
Skills are assessed during written exams in Section B of component 02. |
ICT
OCR Cambridge Nationals Level 1 / 2 Information Technologies
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RO 12 Understanding tools, techniques, methods and processes for technological solutions |
This unit aims to develop the knowledge and understanding of different hardware and software applications and the tools and techniques used to select, store, manipulate and present data. Students will explore the risks associated with the collection and manipulation of data and how such risks can be mitigated. |
A written paper. 1 hour 45 minutes. 50% of final grade. |
| RO13 |
Students create a technological solution that processes data and communicates information following the phases of the project life cycle using different hardware and software technologies to create an integrated technological solution. They develop practical skills, such as carrying out a SWOT analysis, creating GANTT charts, developing online surveys and presenting data through web-based technologies. |
Centre-assessed task, OCR moderated. 20 timetabled hours. 50% of final grade. |
Key Stage 5
Level 3 Cambridge Advanced National in IT: Data Analytics (AAQ)
Exam Board: OCR
Why study this course?
In today's digital world, data is everything. Businesses, governments, and organisations use it to make important decisions, understand their customers, and innovate. This course is for students who are curious about how data powers our world and want to develop practical, in-demand skills. It's an excellent choice if you're interested in technology, numbers, and creative problem-solving. This qualification provides a strong foundation for a future career in one of the fastest-growing and most valuable industries.
What Will You Study?
The course is a Level 3 qualification, equivalent in size to one A-Level. It's designed to give you both theoretical knowledge and practical, hands-on experience. You'll learn to analyse, manage, and interpret data effectively.
Course Components
The course includes three mandatory units and two optional units.
Mandatory Units
- Fundamentals of Data Analytics (Exam): You'll learn about different types of data, how to organise and manage it, legal considerations, and the key roles within data analytics.
- Big Data and Machine Learning (Exam): This unit explores the concepts of big data management, machine learning, and artificial intelligence (AI), along with the ethical and societal issues related to handling large datasets.
- Spreadsheet Data Modelling (Assignment): This is a practical, project-based unit where you'll develop skills in spreadsheet modelling to solve real-world problems.
Optional Units
Two optional units from:
- Relational Database Design
- Data and the Internet of Everything (IoE)
- Data Visualisation
- Data and Digital Marketing
Possible Future Pathways
This course is worth UCAS Tariff points, making it an excellent choice for university applications. It's designed to complement a move into IT related Apprenticeships or into the IT related world of work.
Department Staff
- Mr M Lyons (Curriculum Leader)
- Mr M Worth
- Miss T Lewis
- Mr D Cunningham
- Miss S Davies
Useful Websites and Resources
| Subject Documents |
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| CS & IT Curriculum Map |