Programme Overview
This diploma takes learners from the foundations of artificial intelligence through to deep learning and intelligent agents, with a genuinely serious treatment of ethics, fairness and sustainability running through the whole programme — not bolted on as an afterthought.
Why Study This Programme?
AI is moving from novelty to infrastructure across nearly every sector, and organisations increasingly need people who understand it well enough to apply it responsibly — not just technically, but ethically and sustainably. This diploma builds exactly that combination.
Who Is This Programme For?
- Graduates or professionals with a related honours degree, or a UK Level 6 diploma or equivalent, seeking advanced AI knowledge
- Technology professionals moving into AI-focused roles
- Managers and consultants who need to understand AI strategy and implementation
- Professionals in any sector exploring digital transformation through AI
Is This Programme Right for You?
This programme may be suitable if you:
- Want to develop genuine, structured knowledge in technology & cyber security
- Want a GTEC-approved, internationally structured qualification
- Want a credible academic pathway rather than a one-off certificate
- Are ready to meet this programme's specific entry requirements
- Want assignment-based, coursework-led learning
- Want to keep options open for further OTHM study or university progression
What Does Level 7 Mean?
Level 7 is a Postgraduate / Master's level qualification (RQF Level 7) — the same RQF level as a master's degree. OTHM's Level 7 Diplomas represent practical knowledge, skills and competences assessed as equivalent to a master's degree programme. However, at 120 credits they are shorter than a full master's (typically around 180 credits); learners normally need to complete a further dissertation stage (around 60 credits) with a university partner to convert the Diploma into a complete master's degree.
Qualification Details
| Item | Details |
|---|---|
| Qualification | OTHM Level 7 Diploma in Artificial Intelligence |
| Level | 7 |
| Qualification Type | Postgraduate Diploma (Master's Level) |
| Awarding Organisation | OTHM Qualifications |
| Ofqual Reference | 610/4802/1 |
| Regulation Start Date | 27/09/2024 |
| Operational Start Date | 30/09/2024 |
| Duration | 1 Year |
| Credits | 120 |
| TQT | 1,200 Hours |
| GLH | 600 Hours |
| Assessment | Coursework |
| Grading | Pass / Fail |
| Delivery Mode | [CIC TO CONFIRM] |
| Language | English |
| GTEC Status | GTEC Approved |
Entry Requirements
Standard Entry
An honours degree in a related subject, a UK Level 6 diploma, or an equivalent overseas qualification. Mature learners with relevant management or professional experience may also be considered (learners should confirm with CIC prior to registering).
Mature Learner Entry
Applicants over the qualification's standard age threshold with relevant work or life experience may also be considered, subject to CIC's and OTHM's mature-entry provisions. This should be confirmed with CIC Admissions at the point of application.
Programme Structure — Units
| Unit | Credits |
|---|---|
| Introduction to Artificial Intelligence | 20 |
| Artificial Intelligence and Sustainability | 20 |
| Ethics, Fairness and Explanation in Artificial Intelligence | 20 |
| Deep Learning | 20 |
| Intelligent Agents | 20 |
| Research Methods | 20 |
Programme Objectives
This programme is designed to build ai fundamentals and applied concepts and deep learning techniques, alongside the broader subject knowledge summarised in the Programme Overview above. Detailed, unit-level learning objectives are set out in the official OTHM qualification specification.
Learning Outcomes
On successful completion, learners are expected to be able to:
- Demonstrate aI fundamentals and applied concepts
- Demonstrate deep learning techniques
- Demonstrate design and evaluation of intelligent agents
- Demonstrate ethical and responsible AI practice
- Demonstrate aI and sustainability thinking
- Demonstrate applied research methods
Skills You Will Develop
Assessment
Assessment is conducted through coursework and structured assignments in accordance with the applicable OTHM qualification specification. Learners are assessed on their achievement of each unit's specified learning outcomes and assessment criteria, with work internally assessed and quality assured by the centre, and externally verified by OTHM.
Why Assignment-Based Learning?
Coursework and structured assignments let you apply what you're learning directly, build genuine research and critical-thinking skills, and demonstrate your understanding through written, evidence-based work rather than a single exam. This is not "easier" — it still requires meeting the qualification's full learning outcomes and assessment criteria.
Career Opportunities
Potential career areas may include:
- AI specialist
- AI consultant
- Machine learning professional
- AI project lead
- Digital transformation professional
- AI strategy roles
Career Sectors
Professional Development
Certain professions require additional professional registration, licensing, practical experience or professional certification. Completion of this OTHM qualification does not automatically confer a professional licence unless specifically recognised by the relevant professional or regulatory body.
Academic Progression
Progression from one level to the next is subject to meeting that level's own entry requirements — it is never automatic, and not every learner progresses through every level.
University Progression
Graduates may be able to progress to a Master's degree top-up or Doctoral programmes (postgraduate level), subject to the admission, recognition and credit-transfer requirements of the receiving university.
International Progression
International progression opportunities may be available, subject to the receiving institution's admission, recognition and credit-transfer requirements. Recognition is not guaranteed by every university worldwide.
Career Pathway
Why CIC?
- GTEC-approved academic programme portfolio
- Internationally structured OTHM UK qualifications
- Student-centred, assignment-based learning
- Guidance on realistic academic and career progression
- A college that treats this qualification as one step in a longer pathway, not a one-off certificate
Student Experience
[CIC TO CONFIRM — specific facilities, support services and student life information for this programme area.]
Illustrative Student Profile
The Aspiring AI Professional
Background: A technology or business professional with a related degree, working in or adjacent to a digital role.
Motivation: Wants to move from general technology work into genuine AI specialisation.
Why this level:
Potential next step: A credible AI credential and a foundation for AI strategy or technical leadership roles.
Academic Integrity
Learners are expected to submit original work, reference sources appropriately, and follow CIC's and OTHM's academic policies on research ethics and plagiarism. Academic misconduct, including undisclosed collaboration or unattributed sources, may affect a learner's results.
Responsible Use of AI (proposed website guidance)
Where AI tools are used in study, they should support — not replace — independent learning. Students remain fully responsible for submitted work, must verify any AI-assisted content, and must follow CIC's and OTHM's assessment rules. Undisclosed or prohibited use of AI-generated work may constitute academic misconduct.
How to Apply
- Choose your programme.
- Check entry requirements.
- Submit application.
- Provide supporting documents.
- Application review.
- Admission decision.
- Enrolment.
- Begin studies.
Documents Required
- Identification [CIC TO CONFIRM]
- Academic certificates [CIC TO CONFIRM]
- Academic transcripts [CIC TO CONFIRM]
- Passport photograph [CIC TO CONFIRM]
- CV, where required [CIC TO CONFIRM]
- Proof of English proficiency, where applicable [CIC TO CONFIRM]
Fees
Programme Fees: Contact CIC Admissions for current fees and payment information.
Next Intake
Next Intake: Contact CIC Admissions for the current intake schedule.