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- Digital Chemistry: AI, Machine Learning, Automation and Robotics MSc
Digital Chemistry: AI, Machine Learning, Automation and Robotics MSc
Course options
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Qualification
MSc - Master of Science
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Location
Liverpool Campus
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Study mode
Full time
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Start date
22-SEP-25
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Duration
1 Year
Course summary
The programme will enable students to relate the concepts and techniques of AI, automation, robotics and machine learning to their applications in chemistry research. Students will extend specific skills and knowledge to a level at which they will be prepared for contemporary and pioneering professional practice or further study at the doctoral level.Digital (AI) Chemistry is a rapidly evolving, growth industry and AI tools such as machine learning, automation and robotics have the potential to support faster chemistry discoveries in order to address key societal needs and global challenges. The University of Liverpool, in conjunction with Imperial College London, is creating a research hub to develop state-of-the-art Digital Artificial Intelligence (AI) for Chemistry interfaces. This ground-breaking hub aims to position the UK as the global leader in Digital Chemistry and be at the forefront of the Digital AI Chemistry revolution.Our exciting new Digital Chemistry MSc is a cross-disciplinary programme that offers Chemistry graduates the opportunity to be taught the concepts and techniques of AI, automation, robotics and digitalisation relating to chemistry research. This MSc will develop students skills and knowledge in digital processes and methodologies, in order to critically apply them in a variety of chemical contexts, such as pure materials, pharmaceuticals and formulated materials.
Tuition fees
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£ 29,900per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information

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University League Table
19th
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Campus address
University of Liverpool, The Foundation Building, 765 Brownlow Hill, Liverpool, Liverpool, L69 7ZX, England
Subject rankings
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Subject ranking
18th out of 52 9
31st out of 117 3
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Entry standards
/ Max 228150 66%23rd
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Graduate prospects
/ Max 10088.0 88%18th
6 -
Student satisfaction
/ Max 43.04 76%33rd
15 -
Entry standards
/ Max 227143 63%39th
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Graduate prospects
/ Max 10088.0 88%33rd
25 -
Student satisfaction
/ Max 43.00 75%63rd
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