Digital Technologies: AI, Cyber, Software and Data
Digital Technologies: AI, Cyber, Software and Data
Interested in technology and pursuing a career in digital? This practical one-year programme will help you develop the knowledge, skills and confidence needed to take your next step towards higher-level study and future employment in the digital sector.
Throughout the course, you will explore key areas of modern technology, including artificial intelligence, cyber security, software development, data and digital systems through engaging, practical and work-related activities. You will learn how to analyse and present data, create and test programs for real-world scenarios, configure secure computer systems, and investigate how hardware, software and networks work together.
You do not need to have studied GCSE Computer Science to join this course. It starts with the fundamentals and gradually builds your technical understanding, while also developing important transferable skills such as problem-solving, communication, research and professional workplace practices. Learners with strong prior knowledge will also be challenged and encouraged to extend their skills and understanding.
Successful completion of the Foundation Certificate can prepare you for progression onto a range of Level 3 pathways, including a Digital T Level, V Level, A Levels or a digital apprenticeship.
Digital careers are in high demand, and this qualification provides a strong foundation for further study and future opportunities in the rapidly growing technology sector.
You will be required to have achieved Maths at Level 1
You will be required to have achieved English at Level 1
You will need to have achieved a minimum of 3 GCSEs at grade 3(D) or above
You should have a genuine interest in this subject
An interest in computing and digital technologies, such as artificial intelligence, programming, cyber security or data
An ambition to progress to further study, an apprenticeship or a career within computing and digital technologies
Artificial intelligence, automation and responsible AI use
Programming and software development
Data analysis and visualisation
Cyber security and protecting digital systems
Computer hardware, software and networks
Digital research, problem-solving and communication












