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  • DeadlineStudy Details:

    Part Time

Course Description

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 MSc 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.

Entry Requirements

All applications will be considered on a case-by-case basis. If you want to discuss your previous qualifications and experience before applying, please contact us now via LiveChat.

Applicants should possess either:

A minimum of a 2:2 class degree in Computer Science or a closely related subject, equivalent to a UK bachelor’s degree, coupled with two years’ experience in employment; or
Professional work experience and/or other prior qualifications, which will be considered on a case-by-case basis.
All applicants must provide evidence that they have an English language ability equivalent to an IELTS (academic) score of 6.5.

Fees

See our website for fees

Programme Funding

A UK Scholarship of 10% is available for students residing in the United Kingdom. This scholarship is available for our intakes in the 2024/25 academic year for all full master’s awards.

Student Destinations

The programme follows a career-driven curriculum, developed by industry leaders and experts to ensure the taught skills and knowledge are directly applicable to a workplace. Graduates will be able to successfully apply their newly acquired skills and knowledge in demanding roles within a range of sectors. Potential job titles include Data Scientist, Big Data Consultant, Machine Learning Engineer and Research Scientist.

Module Details

Modules

  • Global Trends in Computer Science (15 credits)
  • Data Visualisation and Warehousing (15 credits)
  • Machine Learning in Practice (15 credits)
  • Cloud Computing (15 credits)
  • Security Engineering and Compliance (15 credits)
  • Deep Learning (15 credits)
  • Elective module: choose one:
    • Applied Cryptography (15 credits)
    • Cyber Forensics (15 credits)
    • Cybercrime Prevention and Protection (15 credits)
    • Information Technology Leadership (15 credits)
    • Multi-Agent Systems (15 credits)
    • Natural Language Processing and Understanding (15 credits)
    • Reasoning and Intelligent Systems (15 credits)
    • Robotics (15 credits)
    • Security Risk Management (15 credits)
    • Strategic Technology Management (15 credits)
    • Technology, Innovation and Change Management (15 credits)
  • Research Methods in Computer Science (15 credits)
  • Computer Science Capstone Project (60 credits)

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