We carry out basic research in advanced data analytics and address data-driven research in Health & Biology, Social and Policy, Environment, Urban and Business & Management.
What We Do
Manchester's Data Science Institute acts as an access point to the University’s expertise in data science, facilitates interactions between data science researchers and problem holders, owns the University’s data science strategy, and will deliver sustainable support for the community.
Manchester has an engaged data science community of almost 250 investigators, with methodologists embedded in Schools across the University addressing problems in extracting meaning from data, managing data volume, the variety of data used in analyses, the velocity with which it is produced and the veracity of those data.
Data science has a home in all three of the University's faculties (Science & Engineering; Humanities; Biology, Medicine & Health Sciences) supported across the whole data life cycle by work in the schools of Computer Science and Mathematics. From information management, through analytics, to practical applications. This creates a virtuous circle, where challenging real-world problems drive the methodology research agenda, whilst providing a natural driver for building new algorithms and methods.