Who Should Attend
University executives, CIO/IT leaders, teaching and learning centers, academic operations and digital transformation teams.
Learning Objectives
- Prioritize AI and digital use cases by educational value and feasibility.
- Identify privacy, accessibility, cybersecurity and academic integrity requirements.
- Establish governance, change management and staff capacity-building needs.
- Present a phased digital campus transformation roadmap.
Curriculum & Instructional Hours
| Module | Key Topics | Hours |
|---|---|---|
| Digital Campus Maturity & Needs | Current-state mapping, user journeys, accessibility and service gaps | 6 |
| AI Use Cases in Higher Education | Teaching support, student services, administration and limitations | 6 |
| Data Governance, Privacy & Security | Data lifecycle, permissions, vendor risk and human oversight | 6 |
| Responsible AI & Academic Integrity | Transparency, bias, evaluation, staff and student guidance | 6 |
| Implementation & Change Management | Procurement, pilots, training, cost and organizational readiness | 6 |
| Digital Transformation Capstone | Pilot proposal, KPIs, risk register and phased roadmap | 6 |
Teaching & Assessment
Learning Methods
Use-case workshops, governance scenarios, pilot planning and interdisciplinary group presentations.
Assessment
Use-case evaluation (25%), governance and pilot design (35%), final transformation roadmap (40%).; proposed.
Program Outcomes
- Digital maturity and opportunity map
- Responsible AI governance checklist
- Prioritized pilot proposal
- Phased digital campus roadmap
Program planning notice: Curriculum, duration, faculty, delivery, visits, and completion arrangements are proposed and subject to final institutional confirmation. University visits, visiting scholar placements, academic credit, and partner-issued credentials are not guaranteed.