Digital Systems and Data
Ramsey Gatehouse Sixth Form
Abbey College, Abbey Road, Ramsey, Cambridgeshire, PE26 1DG
Available start dates
Available start dates
Course Summary
Are you interested in computing, cyber security, data analysis, software development, artificial intelligence, digital business systems, or careers within the rapidly growing digital sector?
The Pearson Level 3 V Level in Digital Systems & Data is a new qualification that will provide students with a strong understanding of digital technologies, data management and emerging technological developments. It has been designed to combine academic knowledge with practical, career-related learning, helping students progress to university, higher-level qualifications and a wide range of digital careers.
Course Details
(subject to final Pearson specification)
- · Digital systems and infrastructure
- · Data management and databases
- · Cyber security principles and practices
- · Networking and cloud technologies
- · Data analysis and visualisation
- · Artificial intelligence and emerging technologies
- · Software and application development
- · Digital project management
- · Ethical, legal and environmental issues in technology
- · Research and investigative skills
How will it be delivered and assessed?
- · Two-year programme.
- · Combination of classroom teaching, practical workshops, case studies, investigations and independent study.
- · Opportunities to work with industry-relevant technologies and explore real-world digital challenges.
- · Assessment is expected to include a mixture of external examinations and internally assessed coursework/projects.
- · Final assessment arrangements will be confirmed by Pearson.
Entry requirements
- · Five GCSEs at Grade 4 or above, including English & Maths
- · Grade 4 or above in ICT, Mathematics or a Science subject is desirable.
- · An interest in technology, digital innovation and problem-solving.
- · Good attendance and a positive attitude to independent study.
Your next steps...
- · Computer Science
- · Cyber security
- · Data Analytics
- · Software Engineering
- · Artificial Intelligence
- · Information Technology Management
- · Data Science
- · Digital Business and Technology
- · Network Engineering
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