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Suzy Moat is a Professor of Behavioural Science at Warwick Business School, where she co-directs the Data Science Lab and is a Fellow of the Alan Turing Institute. Her research focuses on the utilization of data from online sources such as Google, Wikipedia, and Flickr to measure and predict human behavior in the real world. Moat's work spans a diverse range of problems, including the connections between online behavior and stock market fluctuations, crowd size estimation, and the impact of environmental beauty on health. Her research findings have been featured in major media outlets globally, including CNN, BBC, The Guardian, and The Wall Street Journal. Suzy studied Computer Science at University College London and Psychology at the University of Edinburgh, receiving numerous accolades throughout her academic journey. As a collaborator and co-director at the Data Science Lab, she has been involved in educational initiatives such as a Massive Open Online Course (MOOC) on using big data to measure and predict human behavior, attracting over 25,000 participants. Moat has also advised various governmental and public entities on enhancing predictive capabilities through big data.
Warwick Business School operates through subject groups rather than traditional departments. GMAT/GRE is recommended but not mandatory for most MSc courses, though competitive for Finance.