A physical entity could be a structure, a component, a product, a process or even a system. Its virtual mirror image is called a model or a digital twin as long as the bidirectional communication between them is enabled. As a result, a significant amount of time and cost are exempted from creating the physical prototypes and conducting massive physical experiments. Accordingly heavy demands on high fidelity modelling and simulations emerge from the modern industry which is characterised by complex engineered and scientific systems.

Benefitting from the advancement of sensors, computational science and high-performance computing equipment, the data driven modelling and simulation techniques stand out in industry 4.0. Combining with data analysis techniques, the knowledge hidden behind massive data is revealed to explore the physical entities of interest in a deep way. This programme provides you with a solid foundation in data-driven methods for the design, analyse, operation and maintenance of complex engineered and scientific systems.

The Focus of Your Studies

This programme focus on educating you in the formulation, analysis, implementation and application of data-driven computational approach for realisation of innovative engineering solutions.

The curriculum is interdisciplinary. You will study sensor network design, data collection and data analysis methods so that you could apply the popular data-driven tools for different industrial applications such as industrial equipment operation monitoring and maintenance.

Meanwhile, master degree project course is provided in the end to allow you to solve the relevant engineering problems by combining your theoretical knowledge and practical skills.

Upon Completion of Your Studies

This programme will equip you with the skills required for a successful career demanding data analysing and application expertise in industrial environments within various fields of engineering. Since the programme is conduct in English, the graduates are qualified for the international market.