Master of Arts in Digital and Computational Archaeology

["develop core computing skills in data science (database theory and design, data visualisation, and representation), Web technologies, and programming (Python, R), and become acquainted with current issues in archaeological data management and policy.", "familiarise themselves with the use of state-of-the-art 3D technologies and media and learn which techniques are best suited for data capture, documentation and analysis in different situations and contexts (e.g. fieldwork, museum, research projects).", "think critically on the application of geographic information systems (GIS), spatial analysis, and computational modelling in archaeology, and learn how to best apply computational methods to gain insight into the socio-political organisation of past societies.", "learn to identify current issues, problems and developments in the field of digital humanities and gain practical experience in the application and development of methods and tools that can benefit humanities research more broadly.", "take work placements ("Praktika") in excavations, museums, or cultural heritage management organisations and test their practical skills in real life situations."]