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The Professional Doctorate in Data Science (D.DataSc) is designed for working professionals seeking to advance and formalize data-driven, evidence-based methods in their field through a blend of coursework and doctoral-level research.
This program emphasizes cross-disciplinary collaboration, making it ideal for professionals across diverse industries and specialties.
Mastering data - interpreting, processing, extracting insights, visualizing, and communicating findings - will become an increasingly vital skillset in coming years. (Hal Varian, Chief Economist at Google).
As an international pioneer in professional doctoral education, this distinctive program awards graduates the right to use the 'Dr' title upon completion.
Our research-intensive curriculum explores both theoretical and practical dimensions of data science, with students examining data relevant to their primary field or workplace. Participants develop critical analytical skills while conducting original data research.
Coursework covers essential topics including Data Ecology, Research Methods for Technologists, Applied Research Tools, Spatial Data Analysis, Advanced Decision Making, Work-based Project Reviews, and Doctoral Research Planning.
The program consists of six taught modules plus a Research Thesis, offered in both full-time and part-time formats through intensive block teaching and blended learning approaches.
Full-time students complete two years of research, while part-time students undertake two years of coursework followed by three years of research.
This groundbreaking qualification addresses the growing centrality of data science across professional domains. The rigorous research component delivers methodological expertise and exposure to cutting-edge concepts. With data science careers expanding rapidly, graduates will possess the field's highest credential, qualifying them for leadership roles and eligibility for Royal Statistical Society membership.