Course summary
Data and digital technologies play a fundamental role in contemporary society – and cultural heritage is no exception. As a Data Science student on the Sustainable Heritage MSc, you develop interdisciplinary data science skills and apply them to real-world heritage contexts, including historic buildings and sites, landscapes, museums and collections. This accredited degree combines applied knowledge with research-led, hands-on learning and fieldwork. It prepares you to become a skilled data scientist, working through the dynamic lens of cultural heritage. Modular (flexible) students - Some postgraduate taught and MRes programmes are available on a modular basis. Modular study lasts between 2 and 5 years. This is different to a part-time study which lasts for a fixed period.
Entry requirements
Normally a minimum of a second-class Bachelor's degree from a UK university or an overseas qualification of an equivalent standard. Applicants with degrees of a lower classification but with considerable senior-level professional experience may also be accepted. Please note that a special qualifying examination may be set. Details of this route can be obtained from the department at the email address at the bottom of this page. English level: Level 2
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
UCL (University College London)
Gower Street
London
WC1E 6BT