Data science

Our expertise spans the full data science life-cycle: from information management and privacy, via machine learning and representational logics, to practical applications in bio-health informatics.

A key feature of our approach is closely coupling methodology and application. This creates a self-fulfilling loop, where challenging real-world problems drive the methodology research agenda, but also provide a natural route to exploiting new algorithms and methods.

We believe this deeply multidisciplinary approach is one of the distinctive features of data science at Manchester.

Areas of expertise

Our researchers focus their work in the following specialist areas:

• 

  Information management

  We design, develop and build state of the art data and knowledge management systems -- spanning from formal underpinnings in knowledge representation and logic, to challenging interdisciplinary work.

  Read more

• 

  Machine learning and robotics

  We develop and apply novel statistical Machine Learning methodologies, from theory to application, and push forward the state of the art in Human-Robot interactions with our Cognitive Robotics Lab.

  Read more

• 

  Natural language processing and text mining

  We develop NLP and text mining techniques to provide insights for social scientists, biologists, and neuroscientists. Our strong interdisciplinary foundations support a world leading expertise in information extraction.

  Read more