MSc Big Data and High Performance Computing

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Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
2 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs
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Course Overview

This MSc in Big Data and High Performance Computing equips students with the advanced skills to process and analyze massive datasets using cutting-edge computational technology. Accredited by the British Computer Society, the program is specifically designed to close the critical skills gap in this high-demand field. Graduates are primed for successful careers, empowered to apply their expertise to solve complex, real-world data challenges.

Key Program Highlights

  • BCS-accredited curriculum meeting the academic requirements for Chartered IT Professional status
  • Focus on applying High Performance Computing (HPC) to solve real-world big data problems
  • Develops highly sought-after technical skills to address a significant global employment gap
  • Strong industry engagement ensuring practical, relevant, and cutting-edge learning
  • Provides a robust set of transferable skills highly valued across the entire IT sector

Requirements

The requirements may vary based on your selected study options.





















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
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    Tuition fee
    Apply by
    Start date
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    2 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs