MSc Advanced Materials Science - Data driven Innovation in London United Kingdom | University College London

The digital transformation in data science, machine learning, and AI has fueled the need for a new wave of materials data scientists who can leverage these cutting-edge technologies to improve materials design and discovery. Through this program, you'll thoroughly examine how data-driven methods can dramatically improve the development of Processing-Structure-Properties-Performance (PSPP) relationships. You'll acquire in-depth, specialized knowledge in data-centric materials science, covering computational modeling and machine learning techniques essential for addressing materials science challenges—including regression, classification, feature extraction, and data clustering. The curriculum emphasizes the tools and approaches necessary to deepen understanding of PSPP relationships in advanced materials used for energy, healthcare, and environmental solutions. Additionally, you'll develop modern research skills and gain the expertise to excel as a researcher or innovator in this dynamic field.