MSc Digital Humanities (Data Science)

1 Years On Campus Masters Program

University of Southampton

Program Overview

The MSc Digital Humanities (Data Science) helps humanities and social sciences graduates gain data science skills (like analysis, visualisation, management) while retaining a critical and justice-oriented perspective. It suits those interested in combining ethical, cultural or societal questions with technical tools to impact digital culture, heritage, media, policy, or research.

Curriculum Structure

Students begin with Principles of Humanities Data Science where they explore embedding justice, equity, and ethical thinking into data science, learning about minimal computing, data infrastructures, and how historical biases inform current data practices.
They also take Methods in Humanities Data Science and Data Management for Humanities Research, gaining skills in managing datasets, harmonising data, doing visualisation, and applying computational methods in humanities contexts.

Focus areas: “Humanities data science, ethical & justice-oriented computing, data analysis & visualisation, data management & placement”
Learning outcomes: “Combine critical humanities thinking with data science methods; manage, harmonise and visualise humanistic datasets; apply ethical, climate-oriented and justice-led perspectives; execute an applied or research-based project in humanities data science”
Professional alignment (accreditation): “Aligns with industry & academic expectations in digital humanities and data science; provides practical placement options for employability”
Reputation (employability rankings): “Graduates gain cross-sector opportunities (heritage, media, tech); course presence in national rankings for humanities and AI/data science; high demand for data skills in cultural & policy sectors.”

Experiential Learning (Research, Projects, Internships etc.)

Your learning is powered by industry-standard development platforms and culminates in team-based projects that simulate real-world software development lifecycles, preparing you for leadership roles in the tech industry.

Here’s how you’ll gain practical, industry-relevant experience:

Industry-Standard Engineering Tools: You'll gain proficiency in essential professional tools including Git for enterprise version control, Jenkins for continuous integration, Docker for containerization, JIRA for project management, and modern IDEs for full-stack development.
Agile Software Projects: A key feature is the series of team-based projects where you'll apply agile methodologies to develop significant software systems, from requirements analysis and system design to implementation, testing, and deployment.
Software Engineering Laboratory: You'll work in our dedicated computing labs equipped with collaborative development environments, pair programming stations, and continuous integration infrastructure.
Systems Design Workshop: You'll use architecture modelling tools and design pattern libraries to create robust, scalable software architectures for complex systems.

Progression & Future Opportunities

Graduates of the MSc Digital Humanities (Data Science) at the University of Southampton acquire interdisciplinary skills blending data science, cultural analytics, and digital research, equipping them for roles such as Data Analyst, Digital Researcher, Information Manager, and Cultural Data Specialist. This program integrates technical training with ethical and humanities-driven approaches, preparing graduates for impactful work in research institutions, cultural organisations, and technology firms.

The University’s Career and Employability Service provides students with access to internships, knowledge exchange projects, and enterprise engagement activities, helping them gain industry-ready experience.
Employment outcomes are strong for data-related degrees, with typical salary ranges between £28,000 and £45,000 depending on sector and experience.
The program benefits from Southampton’s partnerships with the Arts and Humanities Research Council (AHRC), the British Library, and digital heritage labs, offering exposure to real-world research collaborations and innovation projects.
Accreditation and long-term value derive from the University's global recognition in data science and digital humanities research, ensuring graduates’ skills align with industry and academic standards.
Graduates demonstrate the ability to merge ethical data science with human-centred analysis, making meaningful contributions to digital innovation and cultural data projects.

Further Academic Progression:
Graduates may progress to PhD research in Digital Humanities, Data Science, or Computational Social Science, or pursue advanced professional roles in academic research, heritage digitisation, or data-driven policy analysis.