Study Details: 1 year - 5 years
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.
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.
For fees and funding options, please visit website to find out more.
UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.
Data science is in high demand in many different industries. As a graduate of the Sustainable Heritage MSc (Data Science) route you will be ideally placed to gain employment as a data scientist, particularly in sectors that unite technology with humanities and social sciences, fostering transdisciplinarity. The MSc will equip you to succeed as a data scientist in diverse fields such as heritage science and technical roles in cultural institutions, data analytics, the built environment, digital technologies and media, and software engineering. The MSc could also be a foundation to pursue a career in academia.
The Bartlett is UCL's multidisciplinary Faculty of the Built Environment. Our vision is a world where the systems and cities we build add to the wellb...