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Digital innovations and information play a crucial role in modern society, with cultural heritage being no different. Whether it's ancient structures, landmarks, natural environments, or museum collections, the heritage field offers a dynamic platform for acquiring and implementing data science expertise. This specialized Master's program cultivates skilled data scientists by employing an engaging interdisciplinary approach focused on cultural heritage. The potential applications of data science span numerous fields, with employers across various industries increasingly seeking professionals proficient in cutting-edge techniques and technologies for data interpretation, management, and utilization. This program introduces an innovative educational model that teaches data science through its practical implementation in the multidisciplinary realm of cultural heritage.
Enrolled in the Data Science track of the Sustainable Heritage MSc, you'll master advanced competencies including programming, collaborative data science, artificial intelligence, and information visualization. You'll investigate the challenges surrounding the collection, interpretation, and application of diverse data types prevalent in heritage settings, encompassing analytical measurements, imaging and surveying outputs, public participation initiatives, and natively digital information.