The Data Science for Cultural Heritage programme from the University College London (UCL) pioneers a new way of teaching data science through application in a cross-disciplinary context. As a student on the Data Science for Cultural Heritage MSc (DaSCH), you will develop advanced data science skills, such as crowd sourced data science, machine learning and imaging data analysis. You will explore the complexities of acquisition, analysis and exploitation of the variety of data that is generated and used in heritage contexts, including data generated through analysis and measurement, imaging and surveying, citizen science, and digitally born data.
Data science is in high demand in many and diverse industries. As a graduate of MSc DSCH you will be ideally placed to gain employment as data scientist, in particular in those sectors that foster interdisciplinarity and break barriers between technology and humanities or social sciences.
The programme has been developed with input from industry leaders from a diversity of sectors, including architecture, heritage, social media or digital technologies. You will gain exposure to real data challenges from these industries and will develop skill set in data science that will be highly transferable across these and many other sectors.
Cross-disciplinarity, 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.
- Heritage Data Mapping and Visualization
- Heritage Data Management
- Heritage Imaging
- Crowd Sourcing and Citizen Data for Cultural Heritage
- Machine Learning for heritage
- Environment Material Interactions
- 12 months
- 24 months
Start dates & application deadlines
- Apply before
DisciplinesArea & Cultural Studies Data Science & Big Data Machine Learning View 234 other Masters in Machine Learning in United Kingdom
- A minimum of a second-class UK Bachelor's degree from a UK university or an overseas qualification of an equivalent standard is required.
International28500 GBP/yearTuition FeeBased on the tuition of 28500 GBP for the full programme during 12 months.
EU/EEA16000 GBP/yearTuition FeeBased on the tuition of 16000 GBP for the full programme during 12 months.
- UK/EU: £8000
- Overseas: £14250
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.