Spatio-temporal Analytics and Big Data Mining MSc

The Spatio-Temporal Analytics and Big Data Mining MSc programme at UCL Civil, Environmental & Geomatic Engineering offers a comprehensive and dynamic educational experience. Students enrolled in this programme will gain a robust foundation in computational skills essential for navigating the realm of big data analytics. These skills encompass various facets, including visualization, prediction, clustering, and simulation through statistical and machine learning techniques. The curriculum also delves into the intricacies of retrieving and mining vast datasets from open sources, leveraging web services, cloud computing, and web and mobile applications. By engaging with actual case data and open-source software, students will develop a practical toolkit for their careers.

This programme primes graduates for roles across diverse sectors, such as consultancy, local government, public industries, and information supply. The skills acquired, particularly in Spatio-Temporal Analytics and Big Data Mining, make them valuable assets in fields ranging from data science in social media, finance, health, and telecoms to developing spatial tools and specialised software. Moreover, graduates can venture into research or entrepreneurial endeavours. The modern landscape characterised by smart sensors, smartphones, and pervasive social media has led to the proliferation of ‘big’ data. Through an interdisciplinary curriculum, the MSc imparts essential knowledge in GIScience, databases, spatial analysis, data mining, and analytics, empowering professionals to effectively dissect, represent, and model large and intricate spatio-temporal datasets.