Curious about studying Chemistry (Digital Methods and Computational Modelling)at University of Southampton? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
Bachelor of Science (with Honours) - BSc (Hons)
Main Site - Highfield Campus
Full Time
Sep 2026
3 Year
Train as a chemist for the industries of the future. This three-year degree combines traditional chemistry with computational skills – an emerging specialism that is increasingly valued by employers across a large range of fields. Data science, AI and machine learning are allowing scientists to make discoveries and run experiments faster and at lower cost. On this degree you’ll gain the chemistry knowledge and computing skills you need to join this fast-growing field. You don’t need previous computing knowledge, as your programming training will be tailored to your level. By the time you graduate you’ll be able to: • write your own programs• use state-of-the-art software to analyse big data• look at digital simulations of molecules in incredible detailSouthampton is one of just a few UK universities where you can study this subject to an advanced level.
Outstanding undergraduate laboratories and equipmentTake advantage of our refurbished laboratories, which opened recently as part of a £12m investment in Chemistry’s facilities. In this spacious, modern environment you’ll gain hands-on practical experience of equipment such as NMR and IR spectrometers and X-ray diffractometers. There are also laptops for each student so that you can record your practical work. It’s the same high-tech equipment you’ll find in industry or academic labs, and you’ll learn to make and analyse your own samples, with full support and training – all excellent preparation for your future career. You’ll also be trained in the specific requirements of high-performance computing.
Learn about research as it happensSouthampton is a Russell Group University, this means you’ll learn from staff who are using AI and digital modelling to benefit society; for example by improving renewable energy technologies and supporting research into the treatment of disease. They will share their expertise with you, bringing the most up-to-date knowledge to your seminars and lectures, and you’ll be able to take part in their research during your individual project work. In addition, our leading role in the UK’s AI for Scientific Discovery Network will give you access to seminars with leading data and computer scientists.
Your careerThere are a large number of roles outside of scientific research where a strong scientific underpinning is beneficial. This bachelor’s level degree gives an excellent grounding in chemistry and how computation and data management can have a positive impact. There is growing demand for this skillset, with every branch of industry and research looking to harness the potential of AI, computer modelling and big data. You'll be able to pursue a career in any area of the chemical industry, including sectors like: pharmaceutical; biomedical; renewable energy; manufacturing. You’ll also be able to explore wider ranging careers in areas like: programming and software development; project management; scientific journalism; scientific sales; teaching. If you’re not sure what path to choose, career-focused activities in year two will help you understand the options and map them to your strengths and interests. These activities include talks from industry speakers, giving you a flavour of different career paths. Students interested in teaching can enhance their CVs by volunteering in outreach or chemical education research. There will also be opportunities to get involved in research.
Supporting your studiesYou’ll be part of a supportive Chemistry community, with a personal academic tutor to provide any extra help you need, both academically and personally. Your tutorial group will be small, so you’ll have plenty of time and attention from your tutors.