COURSE CURRICULUM

The program offers a comprehensive set of modules focused on data science, system health management, and advanced engineering techniques for asset and process optimization. The Software Development for Data Science module provides training in programming languages like Python or R to enable students to handle essential data science tasks, including data capture, analysis, processing, and visualisation. Students will also explore statistical techniques, machine learning, and the software ecosystems used in data science. The System Health Management module teaches students how to predict system failures and optimize maintenance, focusing on technical risk identification, system degradation modeling, and cybersecurity for SCADA systems. The Data Capture module introduces students to measurement theory and devices, allowing them to capture data from physical systems and develop systems-based problem-solving approaches. The IoT Framework Informatics module covers the integration of IoT engineering with cybersecurity, focusing on data management, security breaches, and cybercrimes, using case studies to connect theory with global industry impacts. The Professional Practice (Engineering) module prepares students to develop and plan an MSc research project, critically analyze literature, and present findings effectively while ensuring safe and ethical work practices. In the Data Visualisation module, students learn to design and implement effective visualisation systems, translating complex data into actionable insights for diverse audiences. The Digital Twins module teaches students how to create and manage digital profiles of physical assets using real-world data, covering the challenges of data integration and visualisation. Finally, the Predictive Maintenance module explores the use of big data, AI, and IoT in asset management, focusing on predictive maintenance techniques to improve reliability and prevent system failures in the context of Industry 4.0. These modules equip students with the necessary tools and skills to tackle modern challenges in engineering, data science, and asset management.