This module aims to • Equip students with a business-centric understanding of AI, focusing on how technologies solve practical digital business challenges . • Bridge the gap between AI technicality and business strategy, enabling students to translate AI capabilities into measurable business value. • Develop students’ ability to critically evaluate, design, and implement basic AI solutions for digital business contexts, while addressing ethical, regulatory, and organizational constraints. • Prepare students for roles in digital business by emphasizing stakeholder communication and AI-driven decision-making. The module supports the MSc Digital Business’s goal of preparing graduates to lead digital transformation by focusing on AI as a tool for solving business problems, not just a technical discipline.
A. Critically evaluate core AI technologies and their relevance to digital business domains. B. Analyze complex digital business problems to identify opportunities for AI-driven solutions, considering constraints like data availability and budget. C. Design a end-to-end AI project proposal for a digital business, including scope, methodology, risk assessment, and success metrics. D. Collaborate in cross-functional teams to design AI solutions, negotiating trade-offs between technical feasibility and business needs.
The module employs a blended approach to teaching and learning. Lectures are used to introduce core concepts and theoretical frameworks. Seminars facilitate interactive discussions on real-world digital business challenges, and emerging industry trends, with case studies to provide hands-on experience. Group projects encourage collaborative strategy development, enabling students to design integrated digital business plans and refine them through peer feedback. Independent study complements structured sessions, allowing students to conduct research, engage with online resources, and prepare for assessments through self-directed learning.