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MSc Big Data and High Performance Computing

University of Liverpool

Overview

The MSc Big Data and High Performance Computing provides students with an in-depth understanding of big data analysis and processing using high performance computing technology. This MSc programme enables students to gain a sought after qualification in areas of computing in great demand worldwide.

Accredited by the British Computer Society, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.

Big data is commonly described as data that is so large that it cannot be readily processed using standard techniques. Our current global ability to collect data is such that “big data” sets are becoming common-place.

The most obvious example of this is the exponential growth of the World Wide Web; however there are many public and private enterprises where the analysis of large-scale data sets is critical to growth. Although significant computer power exists, the necessary skills-base is lagging behind the technology.

There is an employment gap looming in the field of big data, especially in the context of the skills required with respect to the application of High Performance Computing (HPC) capabilities to address big data problems.

The MSc Big Data and High Performance Computing programme is designed to address this skills gap and provide those completing the programme with the ability to efficiently address big data and HPC challenges. Together with our growing industrial contact and engagements, this places our graduates in a prime position for future employment.

Career prospects

The MSc in Big Data and High Performance Computing (HPC) is specifically designed to fill a "skills gap" in the employment market. More specifically it is designed to provide students with the necessary skills to allow them to apply Big Data and HPC concepts to real problems. The programme has been structured to facilitate the practical application of this "cutting-edge" technology to real-world problems. The intention is that at the end of the programme students will be able to apply the knowledge gained on the programme specifically to real-world big data and HPC problems. However, the programme is also designed to furnish students with a set of transferable skills that are of particular relevance across the IT industry.

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Modules

  • Compulsory modules
  • RESEARCH METHODS IN COMPUTER SCIENCE
  • MULTI-CORE AND MULTI-PROCESSOR PROGRAMMING
  • BIG DATA ANALYTICS
  • Options modules
  • EFFICIENT ALGORITHMS
  • OPTIMISATION
  • Compulsory modules
  • DATA MINING AND VISUALISATION
  • MSC GROUP PROJECT
  • Options modules
  • MACHINE LEARNING AND BIOINSPIRED OPTIMISATION
  • SAFETY AND DEPENDABILITY
  • REASONING ABOUT ACTION AND CHANGE
  • ALGORITHMIC GAME THEORY
  • MSC PROJECT
  • Requirements

    Listed below are the documents required to apply for this course.
    1 year

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time