Master of Science - Engineering - Applied Data Science

GCU’s MSc in Applied Data Science in Engineering will ensure students will become competent specialists in Engineering Informed Data Science (EIDS) tools and technologies (or solutions) for high-value, highly complex assets. As part of this course, students will study a ground-breaking curriculum linked to industry digital engineering needs. They will learn to analyse complex systems and engineering assets, to deploy instrumentation as part of Industrial Internet of Things (IIoT) architectures, to store, manipulate and analyse big data effectively by implementing data visualisation techniques and producing digital twins capable of transforming data into actionable insights supporting informed engineering/business decisions.

The course was designed with input from industry for industry, and it was specifically constructed with a career development focus, so students will gain valuable skills they can immediately put to work in different industry sectors.

Students will have the opportunity to apply their engineering domain knowledge to develop high-quality data science tools and solutions for physical systems. Data scientists with an engineering background apply their engineering knowledge to ensure a higher quality of data. They will also explore industry-standard commercial off-the-shelf solutions for system-level analysis and design of IIoT platforms and augmented-reality-enabled digital twins. Students will also develop and apply predictive analytics to support data-informed engineering and business decisions. Finally, they will learn how to develop data visualisation dashboards to maximize the level of engineering insights related to asset performance, health management, operations, maintainability and through-life engineering support solutions.

The course requirements were captured via in-depth interviews with representatives of Scottish engineering firms (part of global engineering organisations) and the taught modules were designed to fulfil a real need in terms of digital engineering skills. Input from engineering institutes and governmental bodies was also captured to ensure the relevance of the curriculum in the context of digitalisation of assets’ design, manufacturing, operations, and through-life engineering support of complex systems. GSU's goal is to deliver competent candidates ready to deliver value in the exciting journey of digital transformation.