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MSc Advanced Materials Science (Data-driven Innovation)

  • DeadlineStudy Details: 1 year

Masters Degree Description

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.

Entry Requirements

A minimum of a second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard.

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Fees

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Student Destinations

Possible career pathways for graduates include computational modelling or data-driven innovation such as big data analytics, machine learning and digitalisation, targeting advanced materials for nanotechnologies, energy and the environment, as well as advanced manufacturing and processing.

Module Details

Compulsory modules

  • Materials Design, Selection and Discovery
  • Advanced Materials Characterisation
  • Advanced Materials Processing and Manufacturing
  • Research Methodology
  • Literature Project
  • Research Project
  • Microstructural Control in Advanced Materials
  • Machine Learning and Data-Driven Materials Science
  • Integrated Data-Driven Materials Science and Digitalisation
  • reasonable adjustments
  • Student Support and Wellbeing Services
  • UCL Student Support and Wellbeing Services
  • AccessAble
  • UCL Student Support and Wellbeing Services.

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