Modelling, Data and AI, MSc by Research

Start date: MSc by Research - 1st October, 1st January, 1st April & 1st July. Recognising that today's complex global challenges, such as climate change, healthcare, and urbanisation, demand integrated solutions, the MSc by Research in Modelling, Data and AI brings together research in diverse fields, including mathematics, engineering, computer science, and artificial intelligence. This degree is a fully research-based MSc programme, which also includes training in modelling, data, and AI technologies, and allows you to become a member of a vibrant research community, participating in activities such as seminars, academic conferences, entrepreneurial workshops, and industrial forums. The programme is hosted by the renowned Zienkiewicz Institute for Modelling, Data, and AI, and draws on the expertise of over 160 academics from across the University. It offers students the unique opportunity to engage in multidisciplinary research across disciplines affiliated with the Institute, in Science & Engineering, Humanities & Social Sciences, and Medicine, Health & Life Science. By fostering an environment where students can engage with experts from a variety of disciplines, we aim to encourage creative problem-solving and the application of cutting-edge research. This interdisciplinary approach not only enriches the learning experience but also prepares you to navigate and contribute to an increasingly interconnected world, equipping you with the diverse skillset needed to tackle real-world issues effectively. We are ranked: Top 201-250 in the World (QS World University Rankings 2025) Top 150 (Shanghai Rankings (Academic Rankings of World Universities) - Subject Rankings 2025)

As well as academic qualifications, Admissions decisions may be based on other factors, including (but not limited to): the standard of the research synopsis/proposal, performance at interview, intensity of competition for limited places, and relevant professional experience. Non UK/EU applicants are required to obtain ATAS clearance for this programme of study. Successful applicants are sent ATAS application details by the University PGR Admissions team. Further details on the ATAS scheme can be found at on the government Academic Technology Approval Scheme webpage. As standard, one reference is required before we can progress applications to the Faculty research programme, academic Admissions Tutor for consideration. Please note that any protracted delay in receiving the outstanding reference may result in the need to defer your application to a later potential start point/entry month, than what you initially listed as your preferred start option. You may wish to consider contacting your referee to assist in the process of obtaining the outstanding reference or alternatively, hold submission of application until a reference is sourced. Please note that it is not the responsibility of the University Admissions Office to obtain missing reference after our initial email is sent to your nominated referee, requesting a reference on your behalf. The reference can take the form of a letter on official headed paper, or via the University’s standard reference form. Click this link to download the university reference form. Alternatively, referees can email a reference from their employment email account, please note that references received via private email accounts, (i.e. Hotmail, Yahoo, Gmail) cannot be accepted. References can be submitted to pgradmissions@swansea.ac.uk.

Qualifications Applicants for MSc by Research must normally hold an undergraduate degree at 2.1 level (or Non-UK equivalent as defined by Swansea University). English Language IELTS 6.5 Overall (with no individual component below 6.0) or Swansea University recognised equivalent. Full details of our English Language policy, including certificate time validity, can be found here.

International students: £23,100 per year

UK students: £5,006 per year

UK/Home: £5,006 per year

International: £23,100 per year

Apr or Jul 2026

Rolling admissions – apply as early as possible

• Bay Campus, United Kingdom