Study Details: 1 Year Full-time
On this digital humanities course, you'll develop the skills to step into the world of data science while using your humanities or social sciences background to make sustained arguments. You'll learn how to embed justice-led, climate-orientated and unbiased ways of working, elevating your capacity for future employment or further study.
This innovative digital humanities masters degree is for humanities and social science graduates looking to combine critical humanities thinking with data science skills and methods. You'll develop core skills in data analysis, management, harmonisation and visualisation.
You'll explore evolving relationships between humans, data and technology, and experiment with new ideas about data science, justice and society. You'll also learn how to combine data science and humanities to create an impact in a range of industries that use digital methods for data-driven work.
As a master's student on this humanities data science course, you'll benefit from:
You'll need a 2:1 degree or higher in a humanities or non-numerate social science subject.
Candidates who do not meet the specific entry requirements are still encouraged to apply and will be considered, as will those with non-traditional qualifications or professional experience.
See our website for fees
The employability and enterprise skills you'll gain from this course are reflected in the Southampton skills model. When you join us you'll be able to use our skills model to track, plan, and benefit your career development and progress.
You must study the following modules :
Digital Humanities Research/Professional Project
Methods in Humanities Data Science
Principles of Humanities Data Science
You must also choose from the following modules :
Approaches to Literary Genres
Business, Morality, and Markets
Cultural Heritage within Environmental Impact Assessment
Data Management for Humanities Research
Digital Forms
Digital Screen Cultures
Ethics at Work: Customers, Companies, and Cooperation...
Global Challenges in Context: Conflict and Security
Global Challenges in Context: Energy and Environment
Global Challenges in Historical Context: Migration and Asylum
Global Cultural Heritage
Humanities Data Science Placement
Literary Industries and New Media
Memory in National and Transnational Contexts
Narrative, Place, Identity
Nation, Culture, Power
Organisational Ethics and Philosophy of Management
Philosophy and Ethics in Psychology and AI
Popular Fiction and Digital Culture
Professional Practice
Text as Data
The Ethics of Climate Change
Translation Technology
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