Data Science (Digital Humanities) Durham University

Overview

Durham University is renowned for its academic excellence and innovative research, consistently ranking among the top institutions in the UK. The university boasts strong partnerships with various industries, providing students with unique opportunities to engage with real-world data challenges. Its state-of-the-art facilities and interdisciplinary approach enhance the learning experience, ensuring that graduates are well-prepared for the evolving demands of the data science sector.

The tuition fees for the Master of Data Science (Digital Humanities) at Durham University are as follows:

• Home students: £14,500 per year
• International students: £34,000 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The Master of Data Science (Digital Humanities) is structured to provide a comprehensive understanding of data science principles and practices. The course includes core modules such as:

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

Additionally, students can select 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 and Bias in Data Analytics

The course culminates in a significant research project, allowing students to apply their acquired knowledge to a specific area of interest within the humanities.

The demand for data scientists is rapidly increasing across various sectors, including healthcare, finance, and the humanities. As industries increasingly rely on data-driven insights, the skills acquired in this programme will position graduates favourably in the job market, enabling them to contribute effectively to their chosen fields.

Graduates of the Master of Data Science (Digital Humanities) programme can pursue a variety of career paths. Many alumni find opportunities in sectors such as technology, education, research, and government. Roles may include data analyst, research scientist, digital project manager, and data consultant, among others. The interdisciplinary nature of this degree equips graduates with the versatility to adapt to various professional environments, making them valuable assets in today’s data-centric world.