We live in a time where information about most of our movements and actions is collected and stored in real time thanks to technological advancements. Large number of increasingly small sensors are used everywhere (from mobile phone to IoT devices) while advances in data storage, indexing, and processing platforms allows us to store and process data cheaply and efficiently: “It is now cheaper to keep data rather than to delete it”. Data science strives to develop the methods and tools to unlock the value in massive amounts of data safely and ethically.

Interdisciplinary in nature, it employs theories and techniques from computer science, statistics, machine learning, and mathematics to understand, analyze and potentially affect human, physical, and societal phenomena. Big data from credit card transactions, browsing history, social networking, genetic tests or many other sources have the potential to radically transform science and industry with Harvard Business Review calling Data Scientist “the sexiest job of the 21st century”.

The Department of Computing at Imperial, along with Imperial’s Data Science Institute, creates a unique environment for Data Science by bringing together world leading computer scientists along with researchers in medicine, biology and the social sciences. Our work aims to revolutionize applications in medicine, cyber-security, development economics, bioinformatics, behavior analytics and many more.

Related videos

Introducing the Data Science Institute

The Data Science Institute is a cross-faculty body set up to coordinate data science research at Imperial. This video introduces the diverse scientific disciplines at the core of the Institute and its potential impact on the modern world.

Introducing the Data Science Institute

Introducing the Data Science Institute

Data science is the driving force of the new economy.

The Data Science Institute is a cross-faculty body set up to coordinate data science research at Imperial. This video introduces the diverse scientific disciplines at the core of the Institute and its potential impact on the modern world.

Are you dining on data?

Are you dining on data?

Data Science Insights - Are you dining on data? (highlights)

At this event Derek Scuffell, Syngenta R&D Data Strategist, and Judith Batchelar, Director of Brand at UK supermarket chain Sainsbury's, each shared insights in how their supply chains are driven by data and how the world will be able to feed itself in the future because of data.

Building Brains: Learning from data

Building Brains: Learning from data

Data Science Insights - Building Brains: Learning from data (highlights)

At this event Professor Steve Furber CBE from the University of Manchester, talked about how his new hardware architecture, SpiNNaker, is pioneering neural network research and then shared insights into how progress in his field will develop computer-based intelligence. Axel Threlfall, editor-at-large at Reuters, chaired this event.

Academics

Academics

  • Dr Yves-Alexandre de Montjoye

    YM

    Personal details

    Dr Yves-Alexandre de Montjoye Lecturer in Data Science Institute

    +44 (0)20 7594 0991

    Research interests

    Data Privacy, Machine Learning for biometric and behavioral identification, Infrastructure for the safe and anonymous use of data, Data Science for Good.

    Location

    Data Science Institute, William Penney Laboratory

  • Dr Marc Deisenroth

    MD

    Personal details

    Dr Marc Deisenroth Lecturer

    +44 (0)20 7594 8234

    Research interests

    Statistical Machine Learning, Robotics, Control, Time-Series Analysis, Signal Processing.

    Location

    304A, Huxley Building

  • Dr Aldo Faisal

    AF

    Personal details

    Dr Aldo Faisal Senior Lecturer in Neurotechnology

    +44 (0)20 7594 6373

    Research interests

    Neurotechnology, Biomedical Engineering, Machine Learning, Algorithmic Prediction of Human Behaviour.

    Location

    4.08, Royal School of Mines

  • Prof. Yi-Ke Guo

    YG

    Personal details

    Prof. Yi-Ke Guo Professor of Computer Science

    +44 (0)20 7594 8182

    Research interests

    Knowledge Discovery, Data Mining and Large-Scale Data Management.

    Location

    211A, William Penney Laboratory

  • Dr Thomas Heinis

    TH

    Personal details

    Dr Thomas Heinis Lecturer

    +44 (0)20 7594 8276

    Research interests

    Scientific Data Management, Distributed Data Processing, Spatial Databases, Indexing.

    Location

    423, Huxley Building

  • Prof. William Knottenbelt

    WK

    Personal details

    Prof. William Knottenbelt Professor of Applied Quantitative Analysis

    +44 (0)20 7594 8331

    Research interests

    Application of mathematical modelling techniques to real life systems. modelling and optimisation in parallel queueing systems (especially split-merge and  fork-join  systems), modelling of storage systems, stochastic modelling of sport, stochastic modelling of healthcare systems, resource allocation and contro...

    Location

    371, Huxley Building

  • Dr Peter McBrien

    PM

    Personal details

    Dr Peter McBrien Senior Lecturer

    +44 (0)20 7594 8202

    Research interests

    Data Integration, Information Systems Modelling and Distributed Databases

    Location

    555, Huxley Building

  • Prof. Peter Pietzuch

    PP

    Personal details

    Prof. Peter Pietzuch Professor in Computing

    +44 (0)20 7594 8314

    Research interests

    Distributed Systems, Systems and Data Management and the Design and Engineering of Scalable, and Reliable and Secure Large-Scale Software Systems.

    Location

    442, Huxley Building