Master of Data Science (Digital Humanities) Durham University

Overview

This Master of Data Science (Digital Humanities) at Durham University is a taught postgraduate degree that equips you with advanced practical and theoretical training in research methods used across the social sciences. The programme combines both quantitative and qualitative approaches, letting you learn how to design, conduct, analyse and interpret social research in real-world contexts. You can often tailor your focus (e.g., sociology, social policy or criminology) while learning core skills that are essential in academic, public policy, NGO and private sector research.

Why Master of Data Science (Digital Humanities) at Durham University?

Durham University is renowned for its academic excellence and innovative research. The Master of Data Science (Digital Humanities) stands out due to its interdisciplinary approach, merging data science with the humanities. The university's strong reputation is reflected in its high rankings and extensive partnerships, providing students with access to advanced facilities and resources. This programme prepares graduates for a dynamic job market, where data-driven decision-making is increasingly vital.

Tuition Fee Breakdown

For the Master of Data Science (Digital Humanities), the tuition fees are structured as follows: - National students: £14,500 per year - International students: £34,000 per year Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum of the Master of Data Science (Digital Humanities) is designed to provide a comprehensive understanding of both data science and its applications in the humanities. The course includes the following core modules:

• Data Science Research Project
• Critical Perspectives in Data Science and AI
• Digital Humanities: Practice and Theory
• Programming for Data Science
• Introduction to Statistics for Data Science
• Machine Learning

Additionally, students can choose from optional modules that may include:

• Introduction to Computer Science
• Introduction to Mathematics for Data Science
• Text Mining and Language Analytics
• Data Exploration, Visualisation, and Unsupervised Learning
• Strategic Leadership
• Data Science Applications in Archaeology and Heritage
• Qualitative Approaches to Digital Humanities
• Computer Music
• Ethics of Artificial Intelligence and Data Science

Industry Demand

In an era where data is pivotal across various sectors, the demand for skilled data scientists continues to rise. Graduates of this programme will find opportunities in diverse fields such as digital heritage, cultural analytics, and public policy, where their expertise can significantly impact decision-making processes.

Guaranteed Work Experience

The Master of Data Science (Digital Humanities) includes a significant research project component, allowing students to apply their skills in a practical context. This hands-on experience is essential for developing a robust understanding of real-world applications in the humanities.

Careers with Master of Data Science (Digital Humanities)

Graduates of the Master of Data Science (Digital Humanities) are well-prepared for a variety of career paths. They can pursue roles in sectors such as cultural heritage, publishing, and public policy. Alumni have successfully transitioned into positions that require data-driven insights, influencing areas like public health strategies and advancing cultural analytics. The skills acquired during the programme enable graduates to navigate and contribute to the evolving landscape of data science effectively.