Cambridge Centre for Doctoral Training in Data Intensive Science

The Cambridge Centre for Doctoral Training in Data Intensive Science will train a new generation of PhD students to handle the vast floods of data generated by modern scientific instruments. This matters because telescopes, particle colliders, and genome sequencers now produce more information than researchers can process with traditional methods. Without specialists who can build the software, algorithms, and computing infrastructure to manage this data, much of the science these instruments are built for would remain buried in the noise. The centre addresses a growing skills gap: the UK needs people who understand both the physics or biology and the computational tools required to extract meaning from petabytes of raw data. If successful, the centre will produce researchers who can design the next generation of data pipelines for experiments such as the Square Kilometre Array radio telescope or the Large Hadron Collider. These skills also transfer directly to industries that depend on large-scale data analysis—financial modelling, medical imaging, climate simulation, and logistics. The training is primarily about building fundamental capability in data-intensive science, with practical applications emerging as graduates move into academia and industry.