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.
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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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.
Graduates from this programme are prepared to enter a variety of fields such as aerospace, biomedical, engineering and other multidisciplinary industrials, with students being offered roles at companies including Shell, Johnson Matthey, Rolls-Royce, Merck, Oxford Instruments, Huawei, Bytedance, Procter & Gamble, Coca-Cola.
This programme has also provided students with an excellent foundation for the pursuit of further academic study such as another postgraduate degree or doctoral research. Graduates have gone on to be awarded full PhD studentships in Purdue University in the USA, Universities of Oxford, Queen Mary, Nottingham, Bath, St Andrews, Imperial College London, and UCL in the UK, as well as other top universities in Australia and Hong Kong.
Compulsory modules
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