MSc Big Data Analytics (Online)

This online big data analytics programme will provide you with a specialist qualification in an area of computing which has seen rapid growth and had a transformational effect across many different industries and sectors. The programme will provide you with a comprehensive understanding of both the technology that supports big data analytics and the practical application of this technology in the context of business information and real-world problems.

The programme is delivered 100% online, making it perfectly suited to its subject matter, within an international virtual classroom that offers a unique global perspective. The content has been developed by experts from the University of Liverpool’s Department of Computer Science – an institution that is globally renowned for the strength of its research into computer science, artificial intelligence and emerging technologies.

The programme is accredited by the BCS, The Chartered Institute for IT, for the purposes of meeting the further learning academic requirement for registration as a Chartered IT Professional.

Download a prospectus for more details on this programme. 

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  • Compulsory modules
  • Global Trends in Computer Science
  • Data Visualisation and Warehousing
  • Machine Learning in Practice
  • Cloud Computing
  • Security Engineering and Compliance
  • Deep Learning
  • Options modules
  • Applied Cryptography
  • Cyber Forensics
  • Cybercrime Prevention and Protection
  • Information Technology Leadership
  • Multi-Agent Systems
  • Natural Language Processing and Understanding
  • Reasoning and Intelligent Systems
  • Robotics
  • Security Risk Management
  • Strategic Technology Management
  • Technology, Innovation and Change Management
  • Research Methods in Computer Science
  • Computer Science Capstone Project
  • £15,300 Per Year

    International student tuition fee

    2 Years 6 Months


    Oct 2024

    Start Month

    Sep 2024

    Application Deadline

    Upcoming Intakes

    • October 2024
    • January 2025
    • May 2025
    • October 2025

    Mode of Study

    • Online