Overview
The MSc in Advanced Materials Science (Data-driven Innovation) at UCL is designed to meet the growing demand for materials data scientists in the era of digital transformation. This programme delves into the intricacies of Processing-Structure-Properties-Performance (PSPP) relationships, leveraging data-driven approaches to revolutionise materials design and discovery. With a strong emphasis on computational materials modelling and machine learning, students will acquire essential methodologies to tackle complex challenges in materials science.
Why Advanced Materials Science at UCL?UCL is renowned for its innovative teaching methods and strong research-led approach, making it a top choice for prospective students. The university's commitment to interdisciplinary collaboration ensures that students benefit from insights across various fields, enhancing their learning experience. UCL's East campus offers state-of-the-art facilities, providing an ideal environment for academic and personal growth.
Tuition Fee BreakdownThe tuition fees for the MSc in Advanced Materials Science (Data-driven Innovation) for the 2025/26 academic year are as follows:
- UK students: £16,000 per year
- International students: £39,800 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is structured to provide a comprehensive understanding of materials science through a series of 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
Students engage in a six-month independent research project, applying their knowledge to cutting-edge topics in materials science.
Careers with Advanced Materials ScienceGraduates of this programme are well-prepared for diverse career paths in various sectors, including aerospace, biomedical, and engineering. Alumni have secured positions at prestigious companies such as Shell, Johnson Matthey, Rolls-Royce, Merck, and Huawei. The programme also serves as a strong foundation for those pursuing further academic studies, with many graduates continuing to PhD programmes at top universities worldwide, including UCL and other leading institutions in the UK, Australia, and Hong Kong.
Programme Structure
- The programme’s compulsory curriculum is assessed by a combination of different methods that typically include individual coursework, a group project and/or a written examination, individual research projects with associated presentations, dissertation reports and viva voce. Students are also given time to revise and work through their assessed work with opportunities for individual and group feedback.
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Materials Science Innovation Management Data Science & Big Data View 92 other Masters in Materials Science in United KingdomWhat students do after studying
Academic requirements
English requirements
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A minimum of a second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard.
Tuition Fees
-
International Applies to you
Applies to youNon-residents39800 GBP / year≈ 39800 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents16000 GBP / year≈ 16000 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Advanced Materials Science (Data-driven Innovation).
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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