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Coming SoonUK Ofqual Regulated QualificationLevel 7Data & AI

Level 7 Diploma in Data Analytics

Advanced analytics, data strategy and enterprise governance.

Progression: Progress to MSc Data Science / Analytics top-up.

Register Your InterestTalk to Admissions
Level
Level 7
Duration
9–18 months
Credits
120
Guided Hours
1200 GLH
Study Mode
Online
Status
Coming Soon

Why Study This Qualification

A recognised UK qualification, delivered online, governed by named humans.

  • UK regulated qualification framework

    Awarded within the UK Ofqual Regulated Qualifications Framework at Level 7 — a recognised benchmark used by employers, professional bodies and progression routes.

  • International recognition

    UK-framework qualifications are widely referenced across international employers and further-study providers. Final recognition is always confirmed by the receiving institution or employer.

  • Fully online, flexible study

    Study anywhere in the world with rolling monthly intakes. 9–18 months of guided study, paced around work and life.

  • AI-powered teaching, human governance

    Lessons are delivered in the AI Classroom by an AI Professor and supervised by a named human academic lead — every award is signed off by a human.

  • Structured career progression

    Progress to MSc Data Science / Analytics top-up.

  • Coursework-based assessment

    Assignments, projects and applied tasks — with continuous feedback throughout the qualification.

Programme Overview

The Level 7 Diploma in Data Analytics is a UK Ofqual Regulated Qualification at Level 7, delivered fully online by ICS AI University. Taught in the AI Classroom by AI Professors under named human academic governance, it prepares learners for recognised progression across the School of Artificial Intelligence & Data Science pathway.

Learning Outcomes

What you will be able to do on completion.

  • Demonstrate mastery of the subject and its wider strategic implications.

  • Design and lead innovative solutions to novel and complex challenges.

  • Critically evaluate research and apply it to executive-level decisions.

  • Model professional integrity, ethics and inclusive leadership.

The Learning Experience

How you'll study, week by week.

  • AI Classroom

    A dedicated 24/7 learning environment where every lesson is taught by an AI Professor with cited, source-grounded content.

  • Interactive lessons

    Video, narration, on-screen text and worked examples — pause, replay and ask the AI Professor for a re-explanation.

  • Assessments and projects

    Assignments, applied projects and portfolio tasks calibrated to the qualification level and mapped to learning outcomes.

  • Progress tracking

    A personal dashboard showing completion, assessment status, feedback and readiness for the next stage.

  • AI Professor support

    Ask questions in your own words, at any time. Every answer is anchored in the approved teaching content.

  • Learning resources

    Structured reading, downloadable summaries, worked examples and glossary references throughout the qualification.

  • Study commitment

    Flexible pacing — most learners study 8–12 hours per week, adjustable to your circumstances.

  • Student support

    Named human academic supervision, admissions guidance and technical support throughout your journey.

Entry Requirements

  • A UK Bachelor's degree, Level 6 diploma, or equivalent international qualification.
  • Relevant professional experience is strongly recommended.
  • English at CEFR C1 or equivalent for international applicants.

Who Should Apply

  • Learners moving into data & ai for the first time and wanting a recognised UK qualification.
  • Working professionals looking to formalise experience in data & ai at Level 7.
  • International students seeking a fully online UK-regulated pathway.
  • Employer-sponsored cohorts building capability in-house.

Curriculum Journey

A structured, staged route to a recognised qualification.

  1. Stage 1

    Step 1 of 5

    Foundations

    Objectives

    • Build core knowledge of data & ai.
    • Establish professional vocabulary and context.

    Topics

    • Key concepts and terminology
    • Professional and ethical context
    • Study skills for online learning

    Expected outcomes

    • Explain the fundamentals of data & ai.
    • Navigate the AI Classroom and study routine confidently.

  2. Stage 2

    Step 2 of 5

    Applied Practice

    Objectives

    • Apply core methods to structured problems.
    • Develop practical, portfolio-ready outputs.

    Topics

    • Guided case studies
    • Applied techniques and tools
    • Formative feedback tasks

    Expected outcomes

    • Complete applied tasks at Level 7.
    • Produce coursework mapped to learning outcomes.

  3. Stage 3

    Step 3 of 5

    Specialist Modules

    Objectives

    • Deepen specialist knowledge within the School of Artificial Intelligence & Data Science framework.
    • Prepare for the synoptic assessment.

    Topics

    • Specialist topic modules
    • Sector-relevant case work
    • Reflective professional practice

    Expected outcomes

    • Demonstrate specialist competence.
    • Integrate knowledge across the qualification.

  4. Assessment

    Step 4 of 5

    Synoptic Assessment

    Objectives

    • Consolidate learning through a portfolio of assessed work.
    • Evidence achievement against every learning outcome.

    Topics

    • Portfolio assembly
    • Applied capstone project
    • External quality assurance

    Expected outcomes

    • Submit a complete assessment portfolio.
    • Meet the awarding standard at the required level.

  5. Completion

    Step 5 of 5

    Award & Progression

    Objectives

    • Achieve the qualification and plan next steps.
    • Move confidently into progression routes.

    Topics

    • Result and certification
    • Progression planning
    • Career and further-study guidance

    Expected outcomes

    • Be awarded the Level 7 Diploma in Data Analytics.
    • Progress into employment or the next level of study.

Assessment Method

Coursework-based assessment: written assignments, applied projects and a synoptic capstone. Externally quality-assured by the awarding body.

Career & Progression

Where this qualification can take you.

Potential Job Roles

  • Data Scientist
  • AI Product Lead
  • Head of Data

Future Study Opportunities

Progress to MSc Data Science / Analytics top-up.

How you'll study

Taught in the AI Classroom, governed by named humans.

Every lesson is delivered by an AI Professor with cited, retrieval-grounded content. A named human academic lead supervises curriculum, assessment and awards.

  • 24/7 AI Classroom access
  • Interactive, cited lessons
  • Coursework-based assessment
  • Named human supervisor
  • Auditable teaching record
  • Learner right-to-explanation

Student Decision Support

Is this the right qualification for you?

The questions below cover eligibility, career direction, study commitment and progression. If anything is unclear, Admissions is one message away.

Is this qualification recognised internationally?

Yes. UK Ofqual-regulated qualifications are recognised by employers, professional bodies and universities in many countries. Recognition for further study should always be confirmed with the receiving institution.

How is it taught?

Every lesson is delivered fully online in the AI Classroom by an AI Professor, under the supervision of a named human academic lead.

How long does it take to complete?

9–18 months, depending on your pace and prior experience. Study is flexible — full-time, part-time or alongside work.

What can I do afterwards?

Progress to MSc Data Science / Analytics top-up.

How do I apply?

Register your interest via the Admissions page. We'll notify you as soon as enrolment opens for this qualification.

Next step

Be first in line when enrolment opens.

Register Your InterestTalk to Admissions

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