Planned curriculum fields
Business analytics, data visualisation, AI for executives, generative AI in organisations, responsible AI, digital transformation, product management, data governance, cybersecurity for boards and technology risk.
Data, technology and AI
Technical change interpreted through business responsibility
EAB approaches data and AI as matters of decision quality, operating design, governance, value and risk rather than technology adoption alone.
Evidence and limitations
Programmes distinguish demonstrated capability from vendor claim, prototype from controlled deployment, and operational benefit from unmeasured expectation.
Governance
Teaching addresses accountability, data provenance, privacy, security, intellectual property, model limitations, human oversight and the consequences of automated decisions.
Programme status
No subject is presented as an available course until the programme record identifies its approved scope, faculty, format, assessment, fees and dates.
Further information