Data science and extended intelligence

Qualifications	Duration	Start dates	Application period
PhD (MPhil also available)	Full time: 3–4 years Part time: 6–8 years	February and October	January to April

Qualifications
PhD (MPhil also available)

Duration
Full time: 3–4 years
Part time: 6–8 years

Start dates
February and October

Application period
January to April

Data science and extended intelligence goes beyond efficient data infrastructure and engineering, it studies data empowered human processes that lead to smarter, fairer, more sustainable and equitable ways of living.

Our research on Artificial Intelligence technologies to facilitate citizen science learning focuses on motivating citizen action. These include technologies to support citizens’ identification of species using natural language generation to provide formative feedback, automatically generating multiple-choice quizzes to test learning, and intelligently visualising ecological data to engage citizens.

The Intelligent System and Data Science group pioneers research in Digital Humanities, Smart Cities and Robotics, and Scholarly Data Analytics. Finally, our research in Data Science and AI for scholarly communication has produced the world’s largest collection of open access research papers (CORE), and a variety of cutting edge technologies to support editorial processes at Springer Nature.

Entry requirements

Minimum 2:1 undergraduate degree in a technical or appropriate social science discipline, depending on the project proposed. If you are not a UK citizen, you may need to prove your knowledge of English.