Taught course

Data Science for Cultural Heritage

Institution
UCL - University College London · Bartlett School of Environment, Energy and Resources
Qualifications
MSc

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Entry 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.

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.

The English language level for this programme is: Standard.

Further information can be found on our English language requirements page.

Pre-Master's and Pre-sessional English

UCL 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. International Preparation Courses

Months of entry

September

Course content

UCL’s Data Science for Cultural Heritage MSc provides an innovative opportunity to study data science through the exciting lens of cultural heritage. It is the first MSc in the world to provide in-depth, practice-based data science training in a cultural heritage context. The MSc will equip you to succeed as a data scientist in fields such as heritage science, the built environment, digital technologies and media, analytics, and software.

From historic buildings and sites to museums, cultural heritage provides an exciting and complex setting to learn and apply data science through real applications that combine science and engineering with social sciences and humanities.

This cross-disciplinary programme will give you a balance of advanced data science skills and active learning experience.  You will gain valuable transferrable skills, such as communication and interdisciplinary collaboration. These skills are in high demand in many industries and sectors.

This Master’s has been developed and delivered by leading academics at the UCL Institute for Sustainable Heritage, in collaboration with UCL Department of Statistical Science.

 

To ensure the programme is industrially relevant, we have an advisory board. Members of our advisory board come from major national and international institutions including the Turing Institute, British Library, ARUP, and Historic England. They also contribute your teaching and supervision, as well as providing datasets and research ideas.

UCL Institute for Sustainable Heritage is part of The Bartlett School of Environment, Energy and Resources – home to specialist institutes in energy, environment, resources and heritage. The Bartlett Faculty brings together scientific and professional specialisms required to research, understand, design, construct and operate the buildings and urban environments of the future.

The QS World University Rankings (2021) ranks The Bartlett, our faculty, as #1 for Architecture/Built Environment studies in the UK and #2 in the World. The Bartlett’s research received the most world-leading ratings for research on the Built Environment in the UK in the most recent Research Excellence Framework.

Fees and funding

Please see UCL website for full information about fees and costs for this programme.

Qualification, course duration and attendance options

  • MSc
    flexible
    60 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Assessment

The programme is taught using various strategies including lectures, tutorials, problem-based learning, project work, coursework and reports.

You will get hands-on experience working with realistic data-sets and within heritage contexts, which will include field trips.

Skills-based learning will be delivered through small-group exercises promoting peer-to-peer learning and learning through research.

Course contact details

Phone
+44 (0) 20 3370 1214