Data Science for Cultural Heritage MSc

at University College London

Compulsory modules

•  Heritage Data Mapping and Visualisation
•  Heritage Data Management
•  Dissertation: Data Science for Cultural Heritage
•  Introduction to Heritage Science
•  Introduction to Sustainable Heritage
   

A minimum of a second-class UK Bachelor's degree from a UK university or an overseas qualification of an equivalent standard is required. This MSc is highly interdisciplinary. You will have a background in engineering, computer science, applied mathematics or other related science and want to apply these skills within cultural heritage. Alternatively, you might have a background in arts, culture, or heritage and want to develop technical skills in data science.

Overseas tuition fees 

£29,400
 

Transdisciplinarity, an applied focus, an emphasis on innovation and critical thinking are the key qualities that will define the professional character of our graduates and will make you stand out from other data scientists.
 

You will develop advanced data science skills, as well as many transferrable skills such as coding, presentation and communication skills, working with different stakeholders, problem contextualization or public engagement techniques.