Course summary

Why Lancaster? Open doors to exciting professional roles through an MA at Lancaster University - an institution with a world-leading reputation in Digital Humanities Study in a department that specialises in the application of artificial intelligence techniques in humanities research Get involved in projects with experts in places such as America, Mexico, Brazil, and India Collaborate with your peers in our Digital Scholarship Lab, a state-of-the-art research space with specialist software and equipment Choose our Heritage Placement module for the chance to work with a range of regional, national and international organisations The digital sphere is transforming the way we live and work, as well as how we study the past. On this dynamic degree you’ll learn how to apply cutting-edge technology to traditional humanities and cultural heritage research. Building expertise that can be applied in academic research, as well as careers in a wide range of industries. We’re world leaders Lancaster University is a world leader in the integration of new technologies in humanities research. During this course, you’ll learn from globally recognised experts in the field and engage with cutting-edge research in digital humanities. From visualisation and data design, to text mining and geographic information analysis and retrieval, the technological skills and knowledge you gain from this course will prepare you for rewarding roles in a wide range of sectors. You’ll learn about the use and creation of digital assets and databases, relevant interdisciplinary theories and methods, as well as applications of artificial intelligence such as natural language processing, machine learning, and computer vision. Digital disciplines You'll develop digital and historical research skills and complete core modules in Digital Humanities and Spatial Technologies for Humanities Research. This will allow you to analyse data in more complex and sophisticated ways. For instance, you will:

• extract and analyse information on a large scale through text mining techniques

• discover how to map historical sources and works of literature

• apply and carry out research using methods such as Network Analysis, Spatial Statistics, and Corpus Linguistics

• acquire the skills to capture and visualise data, and create interactive story-maps and timelines

• use Artificial Intelligence techniques to identify, extract and analyse information from thousands of images or texts, and paint a more vivid picture of your findings