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Sep 28, 2023 · The multidisciplinary MSc in Social Data Science welcomes students with an interest in applying quantitative and computational methods to questions of social and political significance for academics, policymakers, and the public. With the rapid expansion of big data and artificial intelligence (AI) in society there is a need both to understand ...
Part-time study with Oxford University Open access short courses and training. Data science applies scientific approaches to interpreting information to improve our understanding of the world and make predictions. Computing underpins much of modern life and continues to develop at a rapid pace.
Oct 13, 2023 · The MSc in Statistical Science is a twelve-month full-time taught master’s degree running from October to September each academic year. The MSc has a particular focus on modern computationally-intensive theory and methods. The MSc in Statistical Science will aim to train you to solve real-world statistical problems.
Oxford University’s Department for Continuing Education offers a selection of short courses in Data Science. These include introductory courses as well as broader, more advanced professional development courses in Applied Data Science.
The Applied Data Science (ADS) course aims to introduce students to a blend of Data Science concepts and technologies in order to enable them to work with everyday Data related issues analytically. Students will gain experience of the entire Data Science supply chain, namely Data collection, processing, analysis and visualisation, using an ...
Sep 22, 2023 · The DPhil in Social Data Science is an advanced research degree which provides the opportunity to investigate and address novel research questions at the intersection of the computational and social sciences, supported by the multidisciplinary faculty at the OII, Mathematics, Computer Science, Engineering, Statistics, and other departments ...
The MSc in Social Data Science is designed for: Social science students with existing quantitative and programming skills who wish to further develop their skills for analysing structured and unstructured data using advanced computational and statistical techniques to address a social science topic.
