Taught course

Big Data and High Performance Computing

University of Liverpool · Department of Computer Science

Entry requirements

Please see the course page on the University website for full details.

Months of entry


Course content

Gain hands-on experience of big data analytics, data mining and visualisation techniques using high-performance computer technology. This MSc is accredited by BCS, the Chartered Institute for IT, and enables you to develop IT solutions to big data problems in a sector with a significant skills shortage.

Big data is increasingly important in the contemporary business and IT world. For many public and private enterprises, analysis of large-scale data sets is critical to growth.

This MSc will prepare you for employment in an IT industry where big data professionals are in high demand.

You’ll learn how to interrogate vast amounts of structured and unstructured data and make informed insights from datasets that are too large to be readily processed using standard techniques.

We’ll provide an overview of the key algorithms, algorithmic approaches and software environments you’ll use when solving big data problems and explore data mining techniques.


  • Theoretical and practical aspects of programming for the latest multi-core and multi-processor platforms
  • Key algorithms, approaches and software environments for developing solutions to big data problems
  • Data mining techniques and challenges using real-world datasets
  • Application of visualisation methods to data mining
  • Research skills in computer science
  • Bio-inspired algorithms for optimisation and machine learning
  • How to model continuous and discrete optimisation problems
  • The benefits and weaknesses of selected algorithmic techniques
  • Algorithmic aspects of game theory
  • Neural networks for artificial intelligence
  • How to validate systems against safety specifications

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification
    part time
    24 months
    • Campus-based learningis available for this qualification

Course contact details

PG Recruitment