Advanced Materials Science (Data-driven Innovation) MSc
University College London (UCL) · London, United Kingdom
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University College London (UCL) · London, United Kingdom
Advanced Materials Science (Data-driven Innovation) MSc
Postgraduate · Engineering
About this programme
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)
- Level
- Postgraduate
- Field
- Engineering
- Duration
- 1 year
- Tuition
- £42,700 / year
- English
- IELTS 6.5
- Intake
- September
Entry requirements
A minimum of a second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard.
Visa
- Visa required
- Student visa
- Application fee
- GBP 558
- Proof of funds
- GBP 1,171/mo
- Processing time
- 3–8 weeks
Standard figures for this route. Some applicants pay a reduced fee or none at all — confirm your own case on the official visa page.
Scholarships available (5)
- Chevening ScholarshipFully funded · Deadline November (annually)
- Commonwealth ScholarshipFully funded
- UCL Global Excellence ScholarshipsPartial funding · Deadline March-April each year
- Charles Wallace Burma Trust Academic GrantsPartial funding · Check official website
- Gordon Memorial College Trust Fund GrantsPartial funding · Deadline 2026 round closed. Check official website for future rounds