Master of Data Science (Heritage)
Basic Information
- Course ID
55d52a25-17c9-4e7a-aa36-8483a98b0f33- Option ID
43eee8a5-c6e8-4aff-8099-1d5719bae7e3- Provider
- Durham University
- Type
- postgraduate
- Academic Year
- 2026
- Source
- ucas
- Created
- 2/25/2026, 9:19:11 PM
- Updated
- 3/28/2026, 10:31:27 AM
Other Options for this Course
No other options
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"suggest": "Master of Data Science (Heritage). Durham University. Data analysis. Heritage studies",
"summary": "**Course details**\nCultural heritage offers a sense of identity, helps maintain social diversity, cohesion, and intercultural dialogue, and forms part of our basic right to participate in cultural life. Data Science techniques are playing an increasing role in this sector, helping practitioners to monitor and protect heritage assets such as archaeological sites, present information to the public and critically assess the role of heritage in contemporary debates.\nFrom personalised medicine, to smart cities and sustainable solutions, data science is building a better world. At the same time, developments in technology have made the field of data science more accessible than ever, creating new opportunities to gain insight into the interactions between people and their natural and cultural environments. This has led to a significant increase in demand for skilled data scientists, and this demand is predicted to further grow.\nDrawing on this, we have created the Master of Data Science (Heritage), a conversion course that equips you with the skills to generate, access, clean, analyse and visualise data, opening a future in data science even if your first degree is in a non-quantitative subject. \n\n**Why Durham University?**\nDurham University is home to the specialist Institute for Data Science, which acts as a hub for new ideas and works to realise its vision to help transform nature, society and culture. The Institute has many years of supporting taught degrees from Departments across the University.\nOur Masters of Data Science programmes deliver the expertise to capture and analyse the huge amounts of data being generated across the world. The suite of interdisciplinary degrees unlocks key information that will ultimately result in more informed decisions being made in all areas of life.\nThe Masters of Data Science programmes develop expertise on the capture and processing information derived from the vast volumes of complex data being generated across the globe that affects all our lives.\nA wide range of groups such as businesses, researchers, governments, communities, families and individuals can all use that data to make more informed decisions and therefore increase the chances of better outcomes for society, in fields such as health, environmental sciences, and social analytics.\nIn an academic context, data science has a key role in underpinning research activity around many subject specialisms. Our Master of Data Science degrees are offered as conversion courses for those who hold a first degree that doesn’t have a strong component in data science.\n\n**Facilities**\nData Science is a conversion course that incorporates content from many Departments across the University. This provides access to a selection of related state-of-the-art facilities from across the University, in particular Computer Science and Mathematics.\nFacilities will depend on the subject specialism but include laboratories, libraries, project spaces, lecture theatres, study and networking spaces as well as shared social spaces. Most departments are close to the historic centre of Durham which is a UNESCO World Heritage site.\n\n**Career Opportunities**\nThe skills and knowledge that constitute a Masters qualification in Data Science are widely sought by employers around the globe. In today’s data-driven society, the ability to capture, analyse and communicate information and trends from the data generated by business, governments and their agencies, communities and organisations is highly prized.\nIt follows that Data Science is a rapidly expanding career sector with opportunities for stimulating and rewarding work in many sectors including the areas of science, humanities, health, environmental and social where understanding and expertise in data is leading to transformations in the way people live and work.",
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