University of Strathclyde

What you'll study

This programme integrates core advanced chemistry topics with specialist modules in computational science and artificial intelligence. Typical taught content covers advanced physical, organic and inorganic chemistry; analytical techniques and spectroscopy; and practical laboratory skills. Complementing the chemistry core are modules in programming for scientists (commonly Python), data analysis, machine learning for chemical data, cheminformatics, molecular modelling and simulation, and statistical methods for experimental design.

Teaching is delivered through lectures, practical classes, computer-based labs and project supervision. The degree culminates in a substantial independent research project or dissertation where students apply AI or data-driven methods to a laboratory or computational chemistry problem — for example, predictive modelling of reaction outcomes, materials property prediction, automated spectral interpretation or optimisation of synthetic routes.

Entry requirements

Applicants are normally expected to hold a good honours degree in chemistry or a closely related subject (for example chemical engineering, materials science or biochemistry). Typical offers recognise candidates with the equivalent of a UK upper second-class (2:1) honours degree, although strong applicants with relevant industrial experience or additional training in quantitative and computational subjects may be considered.

Because the programme combines laboratory and computational work, applicants should demonstrate prior grounding in core chemical principles and some competence in mathematics or computing. Where necessary, preparatory modules or bridging materials may be recommended. International applicants will need to meet the university's English language requirements.

Career prospects

Graduates are prepared for roles at the interface of chemistry and data science. Common destinations include R&D positions in pharmaceuticals, speciality chemicals and materials companies; cheminformatics and data-science roles in industry; analytical science with an emphasis on automated data interpretation; and process optimisation and scale-up teams. The programme also provides a strong platform for research careers, including PhD study in areas such as computational chemistry, machine learning for molecular design, or analytical method development.

Why study at University of Strathclyde

The University of Strathclyde's Department of Pure and Applied Chemistry offers a blend of strong laboratory training and computational resources, enabling interdisciplinary study between chemistry and data science. Students benefit from modern instrumentation and computing facilities, supervision from staff with expertise in experimental and theoretical chemistry, and links to industry through collaborative projects and knowledge exchange activities.

Strathclyde's emphasis on applied research and industry engagement means students often have opportunities to work on projects with commercial relevance, building practical skills attractive to employers. The programme is designed to produce graduates who can bridge the gap between traditional chemical expertise and emerging AI-driven approaches to problem solving.