Find out more about studying MSc Advanced Materials Science - Data driven Innovation at UCL (University College London)? We've gathered all the key details, entry requirements, modules, fees, and more. Take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
UCL East Campus
Full Time
Sep 2027
1 Year
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. This programme will equip 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.
