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Study AI and business analytics through modules on present-day essentials, applied uses in the world, and emerging ideas, finishing with a final project.
Diagnose organisational AI readiness, apply the CIPHER framework to human–AI tensions, and prototype tools through vibe coding and UX testing to deploy AI responsibly at scale.
Analyse external business environments, adapt strategy in dynamic contexts, and decide under uncertainty, applying AI to customer centricity, STP, competitive priorities, and business for impact.
Examine AI gaps and paradoxes, deploy AI in your organisation using the CIPHER framework, and prototype AI tools with awareness through learn, discover, and apply units.
Lead digital transformation through cyber resilience: separate technology hype from reality, deliver transformations, safeguard digital services, and assess critical assets in a final project.
Explore how Open Banking and Open Finance reshape financial services: data-sharing principles, API types and consent frameworks, regional regulatory models, and a capstone Open Finance strategy.
Explore how machine learning and natural language processing are reshaping financial services, covering Open Finance beyond banking, API infrastructure, intelligent product design, and ethical and regulatory implications.
Build a practical grasp of AI for business: assess applications, opportunities and risks, work with generative and agentic AI, and apply governance practices to organisational workflows.
Explore how AI systems work — machine learning, neural networks, generative tools — trace AI's history and hype cycles, weigh ethical risks, and draft an AI implementation strategy.
Learn to govern AI responsibly: identify bias, misalignment and overreliance risks, apply the Trustworthy AI Cycle, and use red teaming and the Three Lines of Defence.
Learn the fundamentals of sustainability and ESG, build the business case for ESG, and explore sustainable finance products, instruments, and future trends.
Explore how large language models and autonomous agents work, and apply prompt engineering, retrieval-augmented generation, model evaluation, and governance to deploy them responsibly in business.
Explore how machine learning, deep learning and natural language processing power financial services, with use cases in fraud detection, credit scoring, chatbots and algorithmic trading, plus ethical risks.
Learn the three pillars of sustainability and the ESG framework: environmental, social and governance factors, ESG metrics and ratings, and the growth of ESG investing.
Compare green bonds, sustainability-linked loans, ESG funds and impact investments, then develop a high-level sustainable finance strategy weighing an organisation's risks, opportunities and stakeholder expectations.
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