MA/MS in Applied Data Science

The one-year, fast-paced Master's programme examines how data science techniques can be applied across different domains, including predicting the effectiveness of medical treatments, detecting the emergence of extremist behaviour from social media data, and forecasting environmental conditions using camera data. Rather than pursuing data science as fundamental research, it treats Applied Data Science as a field that recognises common patterns in data challenges across different fields, examining the best ways to make use of available data and how older data can be turned into new data to solve problems across a range of domains. Students learn to apply data science techniques within four focus domains, combining this with their own domain-specific knowledge.