University AI Capability Programme
Strengthen curriculum, staff capability, applied research, institutional operations and industry collaboration.
Programme components
Leadership and policy
Designed as a configurable programme component with clear participants, outputs, governance and measurement.
Explore related capability →Staff AI capability
Designed as a configurable programme component with clear participants, outputs, governance and measurement.
Explore related capability →Curriculum enhancement
Designed as a configurable programme component with clear participants, outputs, governance and measurement.
Explore related capability →Research and lab support
Designed as a configurable programme component with clear participants, outputs, governance and measurement.
Explore related capability →Student innovation
Designed as a configurable programme component with clear participants, outputs, governance and measurement.
Explore related capability →Industry projects and partnerships
Designed as a configurable programme component with clear participants, outputs, governance and measurement.
Explore related capability →Programme design
Define population, institutions, outcomes and constraints.
Build modules, governance, delivery and measurement.
Run phased activity with clear owners and support.
Track participation, capability, adoption and outcomes.
Who it can serve
Academy integration
Institutional programmes can incorporate DataLgorithmics Academy courses, custom cohorts, leadership briefings, technical pathways and assessments.
Explore Academy catalogueGovernance and evidence
Programme scope should define responsibilities, privacy, security, procurement, participant data handling, evaluation, reporting and evidence requirements before delivery begins.
Design a University AI Capability Programme
Discuss target participants, geography, programme objectives and delivery requirements.
Discuss this programme