MSc Digital Chemistry: AI, Automation and Data Science at University of Leeds

Programme overview

A one-year MSc that combines chemistry with machine learning, data science and automated experimentation for industrial chemical research. It includes hands-on laboratory work with digital chemistry and data-science-enabled methods and an introduction to programming for data handling and visualisation.

Department: School of Chemistry | Duration: 12 months full-time | Intake: September 2027 | Study mode: full-time | Location: Leeds, England, United Kingdom

What you will study

Compulsory modules include Advanced Practical, Professional and Research Skills for Digital Chemistry (30 credits), Machine Learning for Process Development and Optimisation, Automation and Enabling Technologies, Artificial Intelligence for Chemistry and a Digital Chemistry Research Project, plus options such as Green Chemistry for Sustainable Processes and Modern Drug Discovery.

Career pathways

Roles include chemical data scientist or analyst, automation specialist, machine learning specialist and computational chemist, across sectors such as pharmaceuticals, materials and chemical technology.

Official programme page

Application information

Entry requirements

Postgraduate (MSc). A bachelor degree with a 2:1 (honours) in chemistry, medicinal chemistry, applied or industrial chemistry, biochemistry, chemical engineering or another subject with a significant chemistry component. Applicants with a 2:2 in these subjects, relevant work experience or professional qualifications are encouraged to apply. English language: IELTS 6.5 overall with no less than 6.0 in any component. Application deadlines: 30 July 2027 (international applicants), 10 September 2027 (UK applicants).

Domestic applicants: GBP 14,700 for the whole programme (2027 entry). Total fee. Source

International applicants: GBP 33,800 for the whole programme (2027 entry). Total fee. Source

Intake: September 2027

Duration: 12 months full-time

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