All standards
AI TECHNICALSTRONGLY AI-RELEVANT

ST0585 · Version 1.1

Data scientist (integrated degree)

Start with the work someone needs to become competent in and the capability they need to develop.

Applies statistics, software engineering, machine learning and AI techniques to complex data and organisational problems.

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Overview

What this apprenticeship develops

Applies statistics, software engineering, machine learning and AI techniques to complex data and organisational problems. It is designed around the occupation in the official standard, not simply access to AI tools.

AI TECHNICAL: People building, integrating or maintaining AI and data solutions.

Role fit

Who it is designed for

  • Employees working in data-science roles
  • People whose job includes model building and advanced analysis

Where AI genuinely fits

STRONGLY AI-RELEVANT: The occupation can build substantial AI-enabling capability, although AI is not its only purpose.

  • Data science
  • Statistical modelling
  • Machine learning
  • AI-enabled organisational insight

Learning

What someone will learn and apply

Outcomes

Roles and business value

Recognition

Qualification and professional recognition

Practicalities

Entry and delivery considerations

Funding

Funding and eligibility

£19,000

Maximum funding band

The funding band is the maximum government funding available for eligible training and assessment. The actual funding route and employer contribution depend on the learner, role, employer circumstances and rules in force at the start date.

  • Funding and learner eligibility depend on the rules in force on the apprentice's start date.
  • The apprentice must have an eligible job in England that allows them to develop and demonstrate the standard's occupational competence.
  • Prior learning, residency, employment status, age and employer circumstances can affect eligibility or the amount funded.
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Decision check

When another route may fit better

Programme selection

What to investigate in a provider programme

Independent guidance

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Delivery can vary by structure, duration, qualifications, technology access and learner support. We maintain verified provider intelligence privately and use it only to support a needs-led review.

Verified options available for review

Evidence

Sources and verification

Last verified
23 September 2026
Official last reviewed
Not published

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