The Programme

The Integrated AI Program is built so that learners with no prior background can start, and so that experienced professionals can move quickly into advanced specialisation.

The programme runs in four tiers — Foundation, Core, Specialisation, and Capstone — totalling 180 ECTS (90 US credit hours) for the standard degree-equivalent path. Learners pick one of five specialisation paths and can stop at any tier with a recognised credential in hand.

Architecture at a glance

Tier	Name	Weight	Purpose
Tier 1	Foundation	30 ECTS	Bring all learners to a common baseline. No prior background required.
Tier 2	Core AI	60 ECTS	Required shared core covering ML, deep learning, NLP, computer vision, generative AI, ethics, and governance.
Tier 3	Specialisation	60 ECTS	Pick one of five paths: Engineering, Business and Consulting, Research, Cybersecurity, or Sports.
Tier 4	Capstone	30 ECTS	Path-specific final project, thesis, or consulting engagement. Extendable to a full research thesis.

Tier 1 — Foundation (30 ECTS)

Foundation exists so that no learner is locked out by lack of background. Each course is paced for beginners but rigorous enough that a learner completing it is genuinely ready for the Core tier. Learners with prior experience can challenge-test out of individual Foundation courses and bank up to 30 ECTS of advanced standing.

• F1Mathematics for AI I — Linear Algebra and Calculus6 ECTS
• F2Mathematics for AI II — Probability and Statistics6 ECTS
• F3Programming Foundations (Python)6 ECTS
• F4Data and Computing Essentials6 ECTS
• F5Introduction to AI — History, Concepts and Landscape3 ECTS
• F6Critical Thinking, Logic and Scientific Reasoning3 ECTS
• ∑Total30 ECTS

Tier 2 — Core AI (60 ECTS)

The Core tier is the shared technical and conceptual backbone of the programme. Every learner takes every Core course, regardless of the specialisation they later choose. This way, every graduate shares a common language and a common skill base.

• C1Machine Learning Fundamentals7.5 ECTS
• C2Deep Learning and Neural Networks7.5 ECTS
• C3Natural Language Processing6 ECTS
• C4Computer Vision6 ECTS
• C5Data Engineering and Pipelines6 ECTS
• C6Generative AI and Foundation Models6 ECTS
• C7AI Ethics, Safety and Responsible AI6 ECTS
• C8AI Governance, Risk and Regulation6 ECTS
• C9Research Methods and Technical Communication3 ECTS
• C10Core Integration Project (Team-Based)6 ECTS
• ∑Total60 ECTS

Tier 3 — Specialisation (60 ECTS)

After the Core, learners pick one of five specialisation paths. Each runs at the same depth: ten courses, 60 ECTS, taught by working practitioners in the field.

• Path A — AI Engineering. For builders and ML practitioners.
• Path B — AI for Business and Consulting. For strategists, advisors, and leaders.
• Path C — Applied AI Research. For those pursuing original research or doctoral study.
• Path D — AI for Cybersecurity. For security professionals working with AI defensively and offensively.
• Path E — AI for Sports. For practitioners working on performance, tactics, scouting, fan media, officiating, and integrity. First cohort starts January 2027.

→ Read about all five paths in detail

Tier 4 — Capstone (30 ECTS)

The Capstone is where the programme comes together. It is path-specific, mentor-supervised, and produces a substantial portfolio artefact. Capstones run over four to nine months depending on the learner's pace, with milestone reviews at proposal, mid-point, and pre-submission. Final assessment is by a panel — supervisor, mentor, and one external assessor.

Every capstone artefact becomes part of the learner's permanent portfolio. This is what most differentiates the programme's graduates in the job market and in further study applications.

Belt credentialing

The programme offers a dual credential. Academic credit (ECTS) accumulates toward the degree-equivalent qualification. In parallel, a belt credential accumulates as the learner clears each milestone — providing immediately recognisable marks of competence that work in industry.

Belt	Earned by	ECTS	Recognition
White	Tier 1 complete	30	AI Literacy
Yellow	Tiers 1 + 2 complete	90	AI Generalist
Green	Tiers 1 + 2 + 30 ECTS of a specialisation	120	AI Practitioner (path-specific)
Black	Full path + Capstone	180	AI Specialist (path-specific)
Master Black	Black + supervision of 2 capstones + portfolio	180+	AI Master Practitioner (path-specific)

Delivery model

The programme is delivered fully online, with a mix of self-paced asynchronous content and scheduled live sessions where they earn their cost. Live sessions are reserved for topics where judgement matters — ethics, governance, strategy, consulting practice, and security incident workshops.

• Intensive (full-time): full programme in 24–30 months.
• Standard (part-time): full programme in 36–48 months.
• Flexible (CPD): individual courses or certificates over any timeframe; degree completion within seven years of first enrolment.

Cohort live sessions are scheduled in at least two time-zone bands (EMEA/AMER and APAC/AMER) so that no learner is forced into unreasonable hours. All live sessions are recorded.

AI-tool policy

This is an AI programme. Learners are training to be professionals who will work alongside AI tools every day. A policy that banned AI use would be incoherent. We treat AI tool use as a professional skill — expected, taught, and disclosed. Each course component is marked Open, Disclosed, or Restricted, with clear guidance on which applies where.