IT - Data Analytics
Course Overview
The Cambridge Advanced National in IT: Data Analytics is a modern and applied Level 3 qualification designed for students who want to pursue a career or higher study in the ever-growing field of data and information technology.
This course provides learners with both the technical skills and analytical mindset needed to understand, process, and interpret data in real-world contexts.
Students gain hands-on experience using professional software tools and learn how data is used to inform business decisions, drive innovation, and solve complex problems in today’s digital world.
This qualification is equivalent to one A Level and is recognised by universities, apprenticeship providers, and employers.
Assessment Overview
The course combines externally assessed units (set and marked by Cambridge) with internally assessed coursework, giving students a balanced approach to learning and assessment.
| Component | Title | Assessment Method | Weighting |
|---|---|---|---|
| Unit 1 | Information Technology in the Digital Environment | External (exam) | 25% |
| Unit 2 | Data Analytics | External (exam) | 25% |
| Unit 3 | Project Management | Internal (coursework) | 25% |
| Unit 4 | Data Modelling | Internal (coursework) | 25% |
Core Units
- Unit 1 – Information Technology in the Digital Environment
Students explore the role of IT in modern society, understanding hardware, software, networks, and cybersecurity. This unit provides the foundation for all other areas of the course. - Unit 2 – Data Analytics
Learners develop the skills to collect, analyse, and interpret data sets. They apply statistical techniques, create data visualisations, and learn how data supports evidence-based decision-making across industries.
Chosen / Specialist Units
- Unit 3 – Project Management
Students learn to plan, execute, and review IT projects. This includes managing time, resources, budgets, and risks—key skills for both university study and professional settings. - Unit 4 – Data Modelling
Focuses on using data modelling tools and techniques to represent and solve complex data problems. Students design data models that reflect real business needs, applying logic and creativity.
Skills Developed
Students completing this qualification will develop:
- Analytical and problem-solving skills for handling large data sets.
- Technical proficiency with data management, spreadsheets, and analytical software.
- Project management and teamwork skills through applied projects.
- Critical thinking and decision-making grounded in data insights.
These skills are highly transferable across business, science, technology, and finance sectors.
Progression Opportunities
The Cambridge Advanced National in IT: Data Analytics prepares students for:
- University degrees in Data Science, Computer Science, Information Technology, or Business Analytics.
- Higher Apprenticeships in Data Analysis, Cybersecurity, or Digital Project Management.
- Employment in data-driven industries such as marketing, finance, healthcare, and software development.
This qualification bridges the gap between academic and vocational study, making it an excellent choice for students who enjoy working with technology, problem-solving, and understanding how data shapes the world.