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About this degree
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.
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.
Who this course is for
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.
What this course will give you
A solid foundation in creating, managing and using materials data to better understand and guide the design and discovery of novel advanced materials for various contemporary and emerging applications.
Innovative teaching that fosters critical thinking, creativity and peer collaboration.
Students on this interdisciplinary programme benefit from UCL's emphasis on enterprise- and research-led teaching informed by current research input from departments across UCL.
In addition to the specific skills and knowledge students acquire by taking this programme, they also develop managerial and entrepreneurship skills, and transferable skills in areas including literature survey, design of experiments, materials research, critical data analysis, teamwork and effective communication skills using real-life case scenarios and student-led group projects.
You will be based at our UCL East campus in the heart of East London, with easy access to all the cultural, entertainment and academic resources across the capital.