The Digital Economy - Expertise Track
The Digital Economy expertise track (specialisation) prepares MBA students to lead and innovate in a business landscape shaped by emerging technologies, data-driven insights, and evolving customer expectations. This track integrates strategic thinking, technological fluency, and design-led innovation to develop leaders capable of navigating complexity and creating value in digitally connected markets.
Through an interdisciplinary curriculum combining digital strategy, AI and emerging technologies, data analytics, and intelligent service design, students gain the tools to transform disruption into opportunity. The program emphasizes both customer-centric and life-centric thinking, encouraging students to rethink how organizations engage with people, not merely as consumers, but as individuals with diverse and evolving needs, values, and aspirations. In parallel, the specialization addresses how AI, big data, and automation are redefining business models, customer engagement, and decision-making processes. Students learn to interpret complex data, manage uncertainty, and make ethically sound decisions in high-stakes, information-rich environments. Whether designing intelligent services, leading data-informed initiatives, or addressing strategic challenges, graduates are equipped to shape future-ready organizations and lead with confidence and purpose in the age of intelligent technologies.
The Digital Economy Expertise Track offers courses in
- Digital Business Strategy and Innovation
- Data-Driven Strategy and Analytics in Business
Driving Digital Strategy and Innovation
This module equips MBA students with the strategic thinking and creative capabilities needed to lead digital initiatives in fast-changing business environments. It explores how emerging technologies, particularly AI and data are reshaping decision-making, customer engagement, and innovation practices across industries. The module begins with a focused examination of AI-supported decision-making, using high-stakes case studies such as the Air France Flight 447 incident and the COVID-19 pandemic to analyse how intelligent systems influence executive judgment, cognitive bias, and ethical reasoning. Building on this, students shift to customer-centric digital strategy, learning to identify real customer needs, develop personas, and design strategies that place the customer experience at the center of business execution, while exploring life-centricity as the next evolution, where businesses align with the broader life context, values, and goals of the people they serve. Further sessions examine how digital service innovation can be leveraged for competitive advantage, encouraging a transition from product-based thinking to scalable, service-oriented business models. A hands-on capstone workshop integrates design thinking with Generative AI, enabling students to ideate, prototype, and pitch solutions to real-world challenges using cutting-edge tools.
Assessment includes a blend of group and individual assignments. Students engage in live case analyses, customer innovation exercises, and business model design. A final individual paper invites critical reflection on strategic dilemmas, while an executive pitch video challenges students to present forward-thinking digital strategies with clarity and impact.
Data-Driven Decision Making and Business Intelligence
This module prepares MBA students to lead confidently in data-rich business environments by developing strategic, analytical, and communication capabilities essential for modern decision-making. It explores how data science, artificial intelligence, and data visualization are transforming business strategy across functions and industries. Students begin by engaging with key data science and machine learning concepts, tailored to non-technical leaders. They learn to interpret and apply data using statistical techniques to support informed decision-making. Data quality, ethical considerations, and responsible use are emphasized throughout. A dedicated session on AI and Machine Learning for Business Leaders provides critical insight into the strategic value and risks of intelligent technologies. Students explore how AI is reshaping priorities across industries and develop frameworks to evaluate AI investments and implementations. The module also examines the strategic application of data in Fintech and Industry 4.0 analyzing how innovations like embedded finance, IoT, and automation are driving new business models and operational efficiencies. A distinctive feature of the module is its focus on data visualization as a tool for strategic communication. Students learn to craft clear, persuasive visual narratives that support decision-making and engage stakeholders, using best practices in design and storytelling.
Assessment includes both individual and group work, combining live case analysis, data storytelling, and a final integrative project. Upon completion, students will be equipped not only to interpret data, but to apply business intelligence strategically, turning insights into informed decisions and measurable business value.
