Built Environment : Sustainable Heritage (Data Science) MSc
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.
The English language level for this programme is: Level 2.
Further information can be found on our English language requirements page.
Pre-Master's and Pre-sessional EnglishUCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.
Months of entry
September
Course content
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.
Fees and funding
Please see UCL website for full information about fees and costs for this programme.
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
- flexible60 months
- Campus-based learningis available for this qualification
- part time24 months
- Campus-based learningis available for this qualification
Course contact details
- Phone
- +44 (0) 20 3370 1214