The Digital V Level is an exciting new Level 3 qualification, designed to equip students with the knowledge and practical skills needed for a fast-moving, technology-driven world. Equivalent in size to one A Level, it offers a flexible pathway that combines academic learning with real-world digital application.

Students will explore how digital systems and data are used across a range of industries, developing skills in analysing data, solving problems, understanding cyber security, and designing digital solutions.

This course is ideal for students who are interested in technology but want to keep their options open, as it can be combined with A Levels or other V Levels. It supports progression to university, apprenticeships, or careers in areas such as IT, data analysis, and digital development.

Please note: as this is a brand-new qualification due for first teaching in September 2027, final course content and assessment details are still subject to development. Further information will be shared as it becomes available.

• GCSE English Language grade 4 or above desirable
• GCSE Mathematics grade 4 or above

Year 1:

F200 – Fundamentals of Data Analytics (written exam)

This unit introduces the core concepts of data, including its types, classifications, lifecycle, and storage. You’ll explore how data is collected, transformed, analysed, and visualised, as well as the legal and ethical responsibilities of working with it. This foundation is essential for anyone entering a data-related profession.

F202 – Spreadsheet Data Modelling (internally assessed)

This unit covers how spreadsheets are used to model real-world data problems. You’ll learn to plan, design, build, test and evaluate spreadsheet-based solutions that help solve business problems and support decision-making.

Year 2:

F201 – Big data and machine learning (written exam)

This unit explores the scale and infrastructure challenges of managing big data, and how machine learning and artificial intelligence are transforming the industry. You’ll consider ethical issues and environmental impacts as well.

F204 – Data and the Internet of Everything (internally assessed)

This unit covers how connected devices (IoT) collect and share data. You’ll plan and present an IoE solution for a client, addressing aspects such as connectivity, human-computer interfaces, and security.

F206 – Digital and Digital Marketing (internally assessed)

This unit covers the use of data in designing effective digital marketing campaigns. You’ll learn how to use analytics to tailor content, reach audiences and evaluate marketing performance.

Year 1:

F200 – Fundamentals of data analytics (20%)
1 hour 15 minutes written exam – 60 marks

Comprises short answer questions and questions requiring more extended responses

F202 – Spreadsheet data modelling (20%)

Non-examined assessment (NEA) work completed under controlled conditions and assessed internally before being externally moderated by the exam board.

Year 2:

F201 – Big data and machine learning (20%)
1 hour 30 minutes written exam – 60 marks

Comprises short answer questions and questions requiring more extended responses

F204 – Data and the Internet of Everything (20%)

Non-examined assessment (NEA) work completed under controlled conditions and assessed internally before being externally moderated by the exam board.

F206 – Digital and Digital Marketing (20%)

Non-examined assessment (NEA) work completed under controlled conditions and assessed internally before being externally moderated by the exam board.

Written exams are graded Pass, Merit or Distinction.

NEA units are graded Pass, Merit or Distinction.

All units must achieve a grade to be awarded the full qualification which is graded Pass, Merit, Distinction or Distinction*

Further information can be found on the OCR website.

Students can progress to entry-level careers in data science, business intelligence, digital marketing, and IT, and provides a strong foundation for further study in data-driven or technology-focused fields.

Learners should always check the entry requirements for degree programmes with specific higher education providers.