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MSc Digital Humanities

  • DeadlineStudy Details: 1 year - 5 years

Masters Degree Description

Develop skills in computational techniques and digital methodologies that can positively impact the cultural sector. The Digital Humanities MSc provides humanities students with tangible digital skills and tools for engaging with emerging digital technologies such as AI. Taught at UCL, you’ll learn from renowned scholars and industry figures, with access to unparalleled resources relevant to this discipline. You'll be guided in thinking about how to apply technologies within the cultural sector and the arts and humanities research landscape and you’ll gain key technical experience enabling you to seek employment in this rapidly growing field.

Entry Requirements

A minimum of an upper second-class Bachelor's degree in a relevant humanities or computing discipline from a UK university, or an overseas qualification of an equivalent standard.

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Fees

For fees and funding options, please visit website to find out more.

Student Destinations

Digital Humanities (both MA and MSc) graduates have found employment in industry sectors as diverse as: IT, technology & communications, publishing, journalism, translation and PR. They work with employers including the BBC, Deloitte LLP and the National Gallery.*

Module Details

Compulsory modules

  • Introduction to Programming and Scripting
  • Data Visualization and GIS
  • Digital Humanities Research Methods
  • Internet Technologies
  • Dissertation
  • Introduction to Digitisation
  • Social Media, Platforms and Power
  • Digital Industry: Culture and Innovation
  • Affective Interaction
  • Global Digital Humanities
  • Ethical and Responsible Digital Humanities
  • Natural Language Processing and Text Analysis
  • Graph Databases and Semantic Technologies

Optional modules

  • Introduction to Digitisation
  • Social Media, Platforms and Power
  • Digital Industry: Culture and Innovation
  • Affective Interaction
  • Global Digital Humanities
  • Ethical and Responsible Digital Humanities
  • Natural Language Processing and Text Analysis
  • Graph Databases and Semantic Technologies

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