With the increasing popularity of cloud and edge computing, edge analytics focuses on applying machine learning and artificial intelligence on user-owned devices closer to data sources. This project co-creates an Edge Analytics course between partners in the United Kingdom and India, equipping engineers with the skills needed for modern edge computing applications. Short-term benefits include producing qualified engineers for edge computing roles in both countries, facilitating economic benefit through student exchange, and developing micro-credentials deliverable online. Long-term benefits encompass sustained research collaboration between participating institutions and the creation of research-informed course content supported by dedicated online laboratories. The course content is co-designed by faculty and students from Cardiff University, IIT Ropar, and IIIT Kottayam, drawing on world-class course assessment frameworks with delivery following a hybrid offline and online model.
The proposing team brings complementary expertise spanning three institutions. Cardiff University contributes strengths in complex systems and IoT, IIT Ropar provides expertise in edge computing and sensor networks, and IIIT Kottayam offers deep knowledge of IoT analytics. This combination ensures the course covers the full edge computing stack from hardware to intelligent analytics. Non-credit-bearing content is trialled across the three institutions before broader rollout.
Market analysis confirmed strong demand for edge computing skills in both India and the UK. Key application domains include healthcare, education, smart cities, and government services, where edge analytics enables real-time decision making on resource-constrained devices without reliance on centralised cloud infrastructure.