M.Sc. On Campus

Data Science for Cultural Heritage

12 months
28500 GBP/year
16000 GBP/year
Tuition fee
Apply date
Start date


The Data Science for Cultural Heritage programme from University College London (UCL) will create expert data scientists taught through the exciting lens of cultural heritage.


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.

Programme Structure

Courses included:

  • 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

Key information


  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines


180 alternative credits


On Campus

Academic requirements

GPA admission requirements GPA
Lower Second Class

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Start from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University College London (UCL) and/or in United Kingdom, please visit Student Insurance Portal.

Other requirements

General requirements

  • A minimum of a second-class UK Bachelor's degree from a UK university or an overseas qualification of an equivalent standard is required.

Tuition Fee

To alway see correct tuition fees
  • International

    28500 GBP/year
    Tuition Fee
    Based on the tuition of 28500 GBP for the full programme during 12 months.
  • EU/EEA

    16000 GBP/year
    Tuition Fee
    Based on the tuition of 16000 GBP for the full programme during 12 months.

Part-time fee

  • UK/EU: £8000
  • Overseas: £14250

Living costs for London

1137 - 2157 GBP /month
Living costs

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.

Our partners

Data Science for Cultural Heritage
University College London (UCL)


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