Built Environment : Sustainable Heritage (Data Science) at UCL (University College London) - UCAS

Course options

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Course summary

Digital technologies and data have a fundamental role in contemporary society, and cultural heritage is no exception. From historic buildings, sites, landscapes, museums and collections, the world of heritage provides an exciting setting to learn and apply data science skills. This Master’s degree route creates expert data scientists taught through the exciting multidisciplinary 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.
Built Environment : Sustainable Heritage (Data Science) at UCL (University College London) - UCAS