Information Technology (AAQ)
Details
Qualification
OCR AAQ in IT: Data AnalyticsExamination Board
OCRSpecification
What Do I Need To Study This Course?
A minimum of Grade 5 in English Language and Maths at GCSE level. An interest in IT, problem solving and data is also helpful.
What Will I Study?
- F200: Fundamentals of Data Analytics – You will develop a core understanding of how data can be collected, processed, and analysed to inform decisions.
- F201: Big Data and Machine Learning – You will learn how large data sets are managed and how machine learning can be applied to solve problems.
- F202: Spreadsheet Data Modelling – You will explore how spreadsheets can be used to organise, process, and analyse data effectively.
- F204: Data and the Internet of Everything (IoE) – You will investigate how connected devices generate and use data, and the implications for society and business.
- F205: Data Visualisation – You will learn to communicate insights by presenting data clearly using graphs, charts, dashboards, and reports.
- F206: Data and Digital Marketing – You will study how data is used to drive digital marketing strategies and measure their effectiveness.
How Will I Be Assessed?
Assessment is through a combination of externally assessed exams and internally assessed coursework:
- F200: Fundamentals of IT – Exam (Year 12)
- F201: Global Information – Exam (Year 13)
- F202, F204, F205 – Coursework units assessed internally and externally moderated.
This combination allows you to develop both theoretical knowledge and applied data analytics skills.
What Next?
This qualification opens the door to one of the fastest growing and most influential fields in the world today. Data analytics powers everything from artificial intelligence and self-driving cars to social media platforms, esports, and climate change modelling.
You’ll be well-prepared to progress onto higher education in areas such as Data Science, Computing, Artificial Intelligence, Cybersecurity, and IT Innovation, or to take up a higher-level apprenticeship in the digital sector.
Career paths include roles like Data Analyst, Machine Learning Engineer, Business Intelligence Specialist, and Digital Marketing Strategist – jobs that are in huge demand globally and at the forefront of technological change.
The AAQ also builds the foundation for professional certifications and industry pathways that can lead to working with cutting-edge technologies such as AI, the Internet of Things, and Big Data solutions.