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  • DeadlineStudy Details: MSc 1 year full-time, 2 years part-time

Masters Degree Description

​​What if you could help transform how we discover life-saving medicines, advanced materials and sustainable chemicals by combining chemistry with the power of artificial intelligence (AI)?

​Our master’s in AI and Digital Chemistry is your gateway to this revolutionary frontier. Designed for future scientists ready to lead in an era of digital innovation, this programme empowers you with skills in AI, data science and computational chemistry – tools now essential to solving the world’s most complex chemical challenges.

​You’ll be based in the prestigious School of Chemistry, one of the UK’s largest and most research-active chemistry departments. Home to a vibrant community of over 160 postgraduate students and 60 postdoctoral researchers, the school offers an intellectually rich environment where groundbreaking ideas thrive. You'll also benefit from the university’s interdisciplinary strength, with collaborations across Mathematics, Computer Science, Engineering, Physical Sciences and industry leaders.

Entry Requirements

​​​2:1 BSc Hons in chemistry or a related subject (e.g. chemical engineering or natural sciences); or a combination of qualifications and/or experience equivalent to that level. A high 2:2 (above 56%) may be considered if you have relevant work experience or another supporting factor. 

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Fees

For fees and funding options, please visit website to find out more.

Student Destinations

As a graduate from this programme, you will be equipped to work at the exciting new forefront of chemistry, with enhanced employability and strong digital skills. The Royal Society of Chemistry’s 2023 report highlights the growing demand for digital skills in chemistry job postings, making this qualification highly valuable in the job market. Career opportunities include roles in pharmaceuticals, materials discovery and tech companies, among others. 

Module Details

Core modules

  • Machine Learning in Science – Part 120 credits
  • Machine Learning in Science – Part 220 credits
  • Chemistry Research Project

Optional modules

  • Advanced Quantum Calculations
  • AI for Drug Design
  • Molecular and Materials Modelling
  • Big Data and Learning Technologies
  • Statistical Foundations
  • ​Enterprise for Scientists
  • Molecular Interactions and Supramolecular Assembly

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