Taught course

Data Science for Cultural Heritage MSc

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. 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.

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: Good.

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.

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

Course contact details

Phone
+44 (0) 20 3370 1214