In an era dominated by technological advancements, the relevance of digital chemistry and automation cannot be overstated. Together, digital chemistry and automation enable researchers to explore and understand complex science more efficiently than ever before. Our course emphasises the pivotal role of automation and data-driven approaches in the future of industrial chemical research, effectively preparing our graduates for careers across a wide range of sectors such as pharmaceuticals, materials and chemical technology.
You will learn how to collect, analyse and exploit large chemical datasets, and how these can be integrated with your chemical knowledge and machine learning approaches to solve real-world challenges. This dual focus on data generation and handling will provide you with the skills required to fully harness the potential of digital chemistry, both computationally and applied in a laboratory setting.
At Leeds, you will be immersed in an active digital and automated chemistry research environment. You will have the opportunity to carry out an original independent research project which aligns with your interests and career aspirations, ranging from the discovery of new drugs, materials and catalysts to the development of efficient and sustainable manufacturing processes, including predictive chemistry.
During the Digital and Automated Chemistry MSc course, you will learn how to seamlessly integrate chemistry and advanced technologies, providing you with the knowledge and skills needed for a career within the modern chemical sciences industries. You will also have the opportunity to develop a range of additional key skills throughout the course, including problem solving, critical thinking, project planning and scientific communication.
(No longer recruiting from 2027/28)
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Students will be required to study the following compulsory modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| CHEM5901M | Automation and Enabling Technologies | 15 | Semester 1 (Sep to Jan) | PFP |
| CHEM5911M | Digital and Experimental Skills for MSc Students | 15 | Semester 1 (Sep to Jan) | PFP |
| CHEM5921M | Machine Learning for Process Development and Optimisation | 15 | Semester 2 (Jan to Jun) | PFP |
| CHEM5951M | Digital Chemistry Research Project | 60 | Semesters 1 & 2 (Sep to Jun) | PFP |
| CHEM5971M | Advanced Practical and Research Skills for Digital Chemistry | 30 | Semesters 1 & 2 (Sep to Jun) | PFP |
Students will be required to study 45 credits from the following optional modules:
| Code | Title | Credits | Semester | Pass for Progression |
|---|---|---|---|---|
| BMSC5231M | Structure-based Drug Discovery | 15 | Semester 2 (Jan to Jun) | |
| CHEM5107M | Modern Drug Discovery | 15 | Semester 1 (Sep to Jan) | |
| CHEM5618M | Advanced Topics in Chemistry (Examined S1) | 15 | Semester 1 (Sep to Jan) | |
| CHEM5619M | Advanced Topics in Chemistry (Examined S2) | 15 | Semester 2 (Jan to Jun) | |
| CHEM5810M | Renewable Materials for a Sustainable Future | 15 | Semester 2 (Jan to Jun) |
(No longer recruiting from 2027/28)
[Learning Outcomes, Transferable (Key) Skills, Assessment]
View Timetable
Last updated: 31/07/2026 16:32:05
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