Digital Systems and Data V Level
Level: 3
Qualification: V Level Digital Systems and Data
Duration: 2 years
Equivalent to one A Level in terms of time and UCAS points value.
This course will develop learners into competent digital practitioners who can analyse data, secure systems, configure technology or create digital solutions while working responsibly, ethically and effectively with modern digital and AI-enabled technologies.
The course will provide students with a broad understanding of digital technologies, data, cyber security and digital solution design. Rather than preparing learners for a single job role, it develops the knowledge and skills needed for a range of progression routes in computing, IT, data and digital careers.
What will I study?
Students will learn to:
Analyse and use data to support decision making.
Apply cyber security protocols and identify threats.
Configure and test digital systems or design and create digital solutions.
Develop problem solving, critical thinking, communication and collaboration skills.
Understand ethical, secure, inclusive and sustainable digital practices.
2 Compulsory units:
WRP1: Data Analysis and Decision Making
WRP2: Cyber Security Monitoring and Response
2 Optional units
WRP3: System Configuration and Testing
OR
WRP4: Digital Solution Design
Core Knowledge and Understanding
All students will study key concepts covering:
Digital Systems
Hardware, software, networks and storage.
Operating systems and user management.
Configuration and system behaviour.
Performance, usability and security.
Cyber Security
Threats, vulnerabilities and controls.
Authentication and access management.
Secure and responsible digital practices.
Risk management and incident response.
Data
Data structures and quality.
Data preparation and validation.
Analysis and interpretation.
Responsible and ethical data use.
Problem Solving and Digital Solutions
Algorithms and programming logic.
Abstraction, decomposition, selection and iteration.
Solution design processes.
Testing and refinement.
AI and Emerging Technologies
Use of automated and AI-enabled systems.
Benefits and limitations of AI.
Bias, transparency and human oversight.
Ethical implications of AI-generated outputs.
Professional Practice
Communication and collaboration.
Accessibility and inclusivity.
Legal, ethical and sustainability considerations.
Data protection, confidentiality and intellectual property.
Progression Opportunities
The qualification supports progression into:
Computing and Computer Science
Information Technology
Data Science and Analytics
Cyber Security
Software Development
Digital Support and Infrastructure
Higher education and apprenticeships within digital sectors.
Assessment
60% non exam assessment
40% exam
Entry Criteria
Five GCSEs at Grade 4 or above in at least four different subjects including Grade 4 in English and Maths.
Useful Supporting Courses
Students often combine IT with courses such as Business Studies, Law, Sport Studies, Computer Science, Mathematics or Media Studies but it can potentially be studied alongside a range of other subjects as it builds very useful IT skills in its own right.