Global Digital Humanities – online 2025 and 2026 entry

For more details, including weekly contact hours, teaching methods and assessment, please see the module catalogue. The modules are examples from previous academic years and may be subject to change before you start your course.

• MSc

  Dissertation in Digital Humanities or applied research project

  Following the successful completion of the coursework (see PGCert and PGDip modules information), MSc students undertake a dissertation module of 60 credits (15,000 words) or an applied research project accompanied by a report (8,000 words). The dissertation should demonstrate an element of independent thinking or originality of thought in the establishment of the argument and be based upon clearly founded research, analysis and interpretation. It should demonstrate how to address the challenges relating to conducting and completing a research thesis and, likewise, the applied research project should demonstrate how to reflect and manage the execution of a digital humanities project from requirements to results.  

  The topic of the dissertation or the applied research project must be agreed before the start of the project with an academic supervisor. These modules involve regular one-to-one contact with the supervisor.

• PGCert and PGDip

  • Digital Humanities: Principles and Methods: introduces contemporary debates on the future of the humanities in our digital age; you will learn about digital tools, methods and themes, and identify interdisciplinary research questions relating to Digital Humanities.  
  • Programming in Python: introduces and revises modelling, design and implementation in Python.
  • Research Methods in Data Science: introduces the skills necessary for the planning, data gathering, data analysis and dissemination stages of data science research.
  • Digital Global Literatures: enables students to enhance the analysis and presentation of literary texts with advanced digital and computational techniques.
  • Digital Modern Languages: examines the capabilities, limitations, and impact of these technologies on Modern Language and related industries.
  • Memory and Storytelling in the Digital Age: delves into storytelling as a cultural practice, examining the storyteller’s role and narrative techniques for crafting memory in a digital world.
  • Data and Information Visualisation: focuses on the question of how to utilise visual representations to make information accessible for exploration and analysis.
  • End-to-End Machine Learning: focuses on using Python packages to perform end-to-end data-driven analyses.