• Northumbria University Featured PhD Programmes
  • University of Manchester Featured PhD Programmes
  • University of Southampton Featured PhD Programmes
  • Queen’s University Belfast Featured PhD Programmes
  • University of Stirling Featured PhD Programmes
  • University of Surrey Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
  • University of Bristol Featured PhD Programmes
University of Sheffield Featured PhD Programmes
Imperial College London Featured PhD Programmes
ESPCI Paris Tech Featured PhD Programmes
University of Glasgow Featured PhD Programmes
University of Sheffield Featured PhD Programmes

Development of a Visual Analtyics Methodology for Streaming Data

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description


The velocity aspect of Big Data Analytics stems from recent advances in hardware and software technology to sense, capture process and communicate data. A prominent application of this is the Internet of Things. In recent years there have been considerable developments in data mining algorithms specialising on real-time data (data streams). These algorithms create update and maintain analytics models automatically. However, there has been little work on interactive visualisations tailored for streaming data, even though the combination of intelligent algorithms with visualisations to harvest the power of the human brain could result a powerful visual analytics tool/methodology. This project aims to develop novel methods and algorithms for visual analytics of data streams such as sensor data of smart homes, the Internet of Things, etc.


For enquiries please contact . Keywords: Big Data Analytics, Visual Analytics, Data Stream Mining, Internet of Things.


Funding Notes

There is no funding associated with the PhD study. However applicants are encouraged to apply for funding from any funding bodies.

First degree in computer science, physics, engineering, and mathematics with 2:1 or abov. MSc degree in the relevant subject areas is desired.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully




Cookie Policy    X