The digital revolution in data science, machine learning and artificial intelligence have all sparked demand for the next generation materials data scientists, able to utilise these emerging technologies for enhanced materials design and discovery. On this programme you will explore in depth how the establishment of Processing-Structure-Properties-Performance (PSPP) relationships can be significantly enhanced using data driven approaches. The Advanced Materials Science MSc (Data-Driven Innovation) relates scientific theories to research and applications of advanced materials, encourages innovation and creative thinking, and contextualises scientific innovation within the global market and entrepreneurship. The programme delivers innovative teaching; from the group design projects where you are challenged to design the next advanced material to learning how to apply research in the commercial world. The programme, delivered by UCL’s Institute for Materials Discovery (IMD) within the Faculty of Mathematical and Physical Sciences, equips you with advanced, comprehensive knowledge and expertise in data-driven materials science. You will learn about the computational materials modelling and machine learning methodologies needed to solve problems in materials science, particularly in the fields of regression and classification, feature extraction, and data clustering. The programme focuses specifically on the methodologies and technologies required to better understand of Process-Structures-Properties-Performance (PSPP) relationships in advanced materials for energy, health and environmental applications of materials. You will also to practise contemporary scientific research skills and gain the insights and capabilities to be a proficient researcher or an entrepreneur in the field. In addition, you will engage in a literature project and a six-month research project related to the application of data-driven approaches to advanced materials and applications. This programme is for those with a background in physics, chemistry, polymers, materials science or biology. The course covers advanced physics-based materials modelling on all scales as well as data-driven modelling.