Master of Science in Innovative Design and Artificial Intelligence
School of Data Science

Programme Overview

Aims and Learning Outcomes

Aims

The MScIDAI programme is designed to cultivate "AI Product Innovators" capable of mastering the complete lifecycle of AI-powered ventures—from initial conception to successful commercialization. With a strategic focus on the GBA and Chinese Mainland markets, the programme aims to:

  • Develop mastery of human-centred AI design methodologies and design thinking principles, enabling students to identify market opportunities and conceptualize innovative AI products that address genuine user needs within specific regional contexts.

  • Equip students with technical expertise and agile development practices to build functional prototypes, transforming conceptual designs into tangible AI solutions through systematic iteration and user validation.

  • Provide comprehensive knowledge in system architecture and integration methodologies for both software and hardware environments, ensuring students can scale AI prototypes into robust, secure, and operationally viable systems within complex technological ecosystems, including AIoT applications.

  • Cultivate entrepreneurial capabilities and strategic business acumen through the AI Entrepreneurship capstone course, guiding students to develop viable business models, secure resources, and lead successful market entry and growth strategies for AI ventures.

 

Programme Intended Learning Outcomes (PILOs)

Upon successful completion of the MScIDAI programme, students will be able to:

  • Demonstrate comprehensive understanding of human-centred methodologies and design thinking principles in AI and innovative design.

  • Design, optimize, and scale human-cantered AI products and services by integrating technical expertise in intelligent control and AI-driven analytics, applying sophisticated engineering techniques to address complex challenges and create innovative solutions for GBA and Chinese Mainland markets.

  • Implement and evaluate AI solutions using industry-standard tools and technologies, demonstrating proficiency in systematic prototyping and agile methodologies to translate conceptual ideas into tangible AI-powered products through iterative testing and deployment across diverse business applications.  

  • Execute final implementation of AI solutions through advanced system integration across software and hardware platforms, demonstrating comprehensive capability in scaling AI technologies from prototype to production.

  • Lead the full AI product lifecycle as entrepreneur, product developer, and project manager. Drive projects from conception to commercialization by integrating venture expertise, ensuring ethical and regulatory compliance, and demonstrating advanced software-hardware system integration.

  • Communicate and collaborate effectively in multidisciplinary teams, bridging technical and non-technical domains to drive AI innovation projects while demonstrating strong leadership and stakeholder management capabilities in both software and hardware development environments.