MSc Built Environment : Sustainable Heritage (Data Science)

The Built Environment: Sustainable Heritage Data Science MSc at UCL is an interdisciplinary course that facilitates theoretical and experience-based learning in the fields of digital heritage, data science, and built environment sustainability. It combines theory and practice by providing students with the necessary knowledge and skills to understand the complexity of sustainable heritage in the context of the built environment, helping them become future leaders in these fields.Course Content: The course delivers a broad curriculum that combines modules in Data Science, Building Heritage, Digital Heritage Methods and Virtual Heritage. The programme focuses on contemporary techniques and methods, developing useful skills in the areas of data science and visualisation, geographical information systems (GIS), predictive modelling and machine learning.Key Modules: Some of the core modules include 'Principles of Sustainable Heritage', 'Predictive Modelling', 'Digital Documentation and Interpretation in Cultural Heritage', 'Data Science for Spatial Systems', 'Applied Urban and Public Data Science', and 'Virtual Heritage'.Future Careers: Graduates from this course can expect to have a wide range of career opportunities in sectors such as heritage and construction industry, policy and implementation, property development, urban planning, and consultancy. They can work in roles related to heritage, data analysis, sustainability, and built environment including policy development, advisory roles, conservation, and asset management.For more information on this course, please visit the official course page.