MChem Chemistry (Digital Methods and Computational Modelling)
Entry requirements
A level: AAA including chemistry, with a pass in the Practical exam (where it is separately endorsed) and mathematics IB: Pass, with 36 points overall with 6,6,6 in three Higher Level subjects including chemistry and mathematics (AA or AI)
About this course
Master of Chemistry in Chemistry (Digital Methods and Computational Modelling), a chemistry degree centred on digital methods, computational modelling, and data science. Core topics include Programming, Statistics, Mathematical Modelling, Laboratory Techniques, Research Methods, and Artificial Intelligence & Machine Learning. Students complete an extended research project requiring approximately 750 hours of work, which can be undertaken in university facilities, via a year-long industrial placement, or through an overseas university placement. The first year covers foundational concepts through Foundations of Chemistry I, Foundations of Chemistry II, Mathematical and Analytical Methods in Chemistry I, and Practical Chemistry I. The second year introduces computer practice and advanced theories through Advanced Chemistry I, Advanced Chemistry II, Introduction to Programming, Mathematical Methods in Chemistry II, and Practical Chemistry II. The third year advances core chemical concepts through Advanced Practical Skills in Chemistry, Frontiers in Inorganic Chemistry, Frontiers in Organic Chemistry, Frontiers in Physical Chemistry, and Simulation Methods in Chemistry, alongside optional modules such as Medicinal Chemistry III, Sustainable Chemistry, and Synthetic Methods in Organic Chemistry. The final year focuses on computational applications and professional development through AI and Machine Learning in Chemistry, Advanced Research Projects, and Industrial Awareness and Skills Development, with optional study available in areas like Advanced Chemical Biology, Battery Technologies and Their Applications, and Stereoselective Reactions.
Modules
- Foundations of Chemistry I
- Foundations of Chemistry II
- Mathematical and Analytical Methods in Chemistry I
- Practical Chemistry I
- Advanced Chemistry I
- Advanced Chemistry II
- Introduction to Programming
- Mathematical Methods in Chemistry II
- Practical Chemistry II
- Advanced Practical Skills in Chemistry
- Frontiers in Inorganic Chemistry
- Frontiers in Organic Chemistry
- Frontiers in Physical Chemistry
- Simulation Methods in Chemistry
- Advanced Characterisation Techniques
- Medicinal Chemistry III
- Principles, Techniques, and Applications of Electrochemistry
- Sustainable Chemistry
- Synthetic Methods in Organic Chemistry
- AI and Machine Learning in Chemistry
- Advanced Research Projects
- Industrial Awareness and Skills Development
- Advanced Chemical Biology
- Advanced Functional Materials and Molecules
- Battery Technologies and Their Applications
- Chemically Sensitive Imaging of Materials
- Stereoselective Reactions