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MSc Big Data and High Performance Computing with a Year in Industry

University of Liverpool

Overview

This MSc programme enables students to gain a specialist qualification in an area of computing that is in great demand worldwide, and we work with various industrial partners to give authentic examples and placements.

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.

The two-year MSc programme shares the same taught modules with its one-year equivalent. However, unlike the one-year MSc which includes an MSc project over the summer, the two-year programme includes an industrial project and placement in year two (either in the UK or overseas). The placement is typically 30 weeks from September to June.

This opportunity to work in industry will help you strengthen your career options by:

  • Undertaking the project work in an industrial setting
  • Applying theory learnt in the classroom to real-world practice
  • Developing communications and interpersonal skills Building networks and knowledge which will be invaluable throughout your career.

During the placement year you will spend time working in a relevant company suitable for the MSc. This is an excellent opportunity to gain practical engineering experience which will boost your CV, build networks and develop confidence in a working environment. Many placement students continue their relationship with the placement provider by undertaking relevant projects and may ultimately return to work for the company when they graduate.

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

  • Research Methods in Computer Science
  • Efficient Algorithms
  • Data Mining and VIsualisation
  • Multi-core and Multi-processor Programming
  • Big Data Analytics
  • MSc Group Project
  • Optimisation
  • MSc Project
  • Machine Learning and Bioinspired Optimisation
  • Safety and Dependability
  • Reasoning About Action and Change
  • Algorithmic Game Theory
  • Requirements

    Listed below are the documents required to apply for this course.
    2 years

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024

    Mode of Study

    • Full Time