Mini MBA: Digital Business & AI
Overview
This ten-day Mini MBA brings together the core disciplines of management and the new realities of digital business. Participants study strategy, finance, marketing, operations and leadership through the lens of data and AI, and complete an applied project that turns a digital opportunity into a practical business plan.
Who should attend
Managers preparing for senior roles, functional specialists moving into general management, and entrepreneurs building digital ventures.
Training methodology
Lectures and discussion, case studies, group work, guest perspectives, and an applied team project presented on the final day.
Objectives
By the end of this course, participants will be able to:
- Apply core management disciplines in a digital business context
- Build digital and AI-enabled business models
- Use data to guide financial and operational decisions
- Lead digital transformation initiatives
- Develop and present an applied digital business plan
Course outline
Day 1Digital Business Foundations
- Digital economy and platform models
- Where AI creates value
- Course project briefing
- Programme objectives and learning journey
- Team formation
Day 2Strategy in a Digital World
- Competitive advantage and data
- Business model innovation
- Strategic choices for incumbents
- Strategy tools: five forces and value chain
- Digital disruption cases
- Project: market analysis
Day 3Finance for Digital Decisions
- Reading financial statements
- Unit economics and digital metrics
- Investment appraisal for technology projects
- Budgeting digital initiatives
- Funding options
- Project: financial model
Day 4Marketing and Customers
- Customer journeys and personalisation
- Digital channels and analytics
- AI in marketing and sales
- Brand in a digital age
- Pricing strategies
- Project: go-to-market plan
Day 5Operations and Automation
- Process redesign
- Intelligent automation
- Supply chain visibility
- Quality and customer experience
- Operational KPIs
- Project: operating model
Day 6Data and AI for Managers
- Data foundations and quality
- Analytics and machine learning basics
- Generative AI at work
- Dashboards and decision making
- AI use case selection
- Project: AI opportunity
Day 7Leadership and Change
- Leading digital teams
- Change management
- Culture and skills
- Organisation design
- Talent for digital business
- Project: people plan
Day 8Risk, Ethics and Governance
- Cybersecurity and data protection
- Responsible AI
- Governance of digital initiatives
- Regulation and compliance
- Business continuity
- Project: risk register
Day 9Innovation and Execution
- Experimentation and agile delivery
- Partnerships and ecosystems
- Building the business plan
- Programme and portfolio management
- Measuring success
- Project rehearsal
Day 10Project Presentations
- Team project presentations
- Peer and facilitator feedback
- Personal development plan
- Lessons learned and reflection
- Closing and certificates
