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Advanced Materials Science (Data-driven Innovation) at UCL (University College London) - UCAS

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Course summary

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. English level: Level 1


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Advanced Materials Science (Data-driven Innovation) at UCL (University College London) - UCAS