Cambridge OCR
Level 3
QN: 610/3997/4
Curriculum Active
Cambridge OCR Level 3 Alternative Academic Qualification Cambridge Advanced National in IT: Data Analytics (Extended Certificate)
Official qualification regulated by Ofqual, awarded by Cambridge OCR. Classified as a Alternative Academic Qualification. Total guided learning hours: 500 hours.
Qualification Level
Level 3
Awarding Body
Cambridge OCR
Syllabus Units
7 Units
Guided Hours
500 hrs
Instant access to interactive lessons, quizzes, and spaced revision.
Course Syllabus & Study Modules
Complete breakdown of verified curriculum topics and learning objectives.
1
Big data and machine learning
Verified
Key Learning Objectives:
- The scope of managing big data, The Infrastructure challenges of big data, Big data, machine learning and artificial intelligence, Legal and ethical issues in data management, Environment and society
2
Data and Digital Marketing
Verified
Key Learning Objectives:
- Digital marketing fundamentals, Data driven digital marketing, Planning digital marketing content, Creating content for digital marketing campaigns, communicating to stakeholders, Reflection and evaluation of working processes
3
Data and the Internet of Everything (IOE)
Verified
Key Learning Objectives:
- IoE ecosystem, Data collection, processing and storage methods and devices, Connectivity and data transmission, Human computer interfaces (HCIs), Securing IoE devices, Documentation and audience communication
4
Data visualisation
Verified
Key Learning Objectives:
- The value and importance of data visualisation, Planning for data dashboards, Techniques for creating a data dashboard, Communicating information and interpreting data, Evaluating the effectiveness of visualisation solutions
5
Fundamentals of data analytics
Verified
Key Learning Objectives:
- Understanding data
- Managing data, How data can be accessed and managed across platforms, Legal considerations, Job roles, skills and attributes in data analytics
6
Relational database design
Verified
Key Learning Objectives:
- Relational database concepts
- Plan relational database solutions
- Create relational databases, Testing relational database solutions
- Evaluate database solutions
7
Spreadsheet data modelling
Verified
Key Learning Objectives:
- Principles of spreadsheet modelling, Planning the design of a spreadsheet model, Creating the spreadsheet model, Delivering the outcomes, Evaluation.
Regulatory & Verification Details
- Qualification Number (QN)
- 610/3997/4
- Regulated Status
- Available to learners
- Awarding Body
- Cambridge OCR
- Qualification Type
- Alternative Academic Qualification
- Operational Start
- Aug 2025