Empowering non-technical professionals to drive meaningful change using data and AI.
A practical upskilling course for non-technical professionals who use data to support decisions, improve services and solve workplace problems. Delivered through blended learning, the programme combines expert masterclasses, workplace projects and self-directed study to build confidence in data analysis and AI-enabled insight generation.
Overview
Apprenticeship Standard: AI Data Analyst (Level 4)
A practical, workplace‑focused apprenticeship designed to empower non‑technical professionals to use data and AI to understand problems, identify opportunities and drive meaningful service and performance improvement.
Duration: 15 months learning + up to 3 months EPA
A structured programme that builds real analytical confidence through applied learning, masterclasses and workplace projects.
Qualification: Level 4 Data Analyst Apprenticeship
On completion, learners demonstrate occupational competence through a formal End‑Point Assessment, supported by workplace evidence and applied projects.
Programme Structure
Programme Structure: 10 applied modules aligned to workplace delivery
Learners progress through the full analytical journey; from understanding organisational challenges, to using AI‑supported tools for insight, reporting and improvement.
Masterclasses: Monthly expert‑led masterclasses
Each masterclass focuses on a core capability, combining data analysis, AI‑enabled techniques and ethical, responsible practice.
Delivery Options: Blended learning
A mix of live masterclasses, supported workplace projects and self‑directed learning, designed to fit around the working week.
Off‑the‑Job Training: 370 hours (approx. 6.5 hours per week)
Delivered through meaningful work‑based activities including analysis tasks, reporting, insight generation and improvement recommendations.
what we cover
Subjects Include:
- Developing an AI-Aware Analytical Mindset
- Identifying Trends and Insights Using AI-Enhanced Analytics
- Ethical, Secure and Responsible use of Data and AI
- Driving Improvements Through AI-Informed Recommendations
- And more
Typical Job Roles
- Data Analyst
- Junior Analyst
- Departmental Data Analyst
- Problem Analyst
Funding & Eligibility
Who It’s For: Designed for non‑technical professionals working with data
Ideal for individuals who use data to support decisions, investigate issues, monitor performance or improve services, especially within regulated or public‑facing organisations. Learners must be in a data‑enabled role. Participants should have access to organisational data and the opportunity to apply learning through real workplace problems and projects.
Funding: Up to £15,000 funded
Available through the apprenticeship growth and skills levy, government co‑funding, or levy transfer options.
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