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Different course options

Study mode

Online

Duration

30 months

Start date

11-OCT-22

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis Database Management

Course type

Taught

Course Summary

Further your computer science career with a specialist postgraduate degree in big data analytics.

This online master’s programme has been designed to equip students with expertise in an area of computing that has seen recent and rapid growth, and in which there is expected to be a significant skills shortage.

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.

You will have the opportunity to gain 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.

To achieve a full master’s degree, you will be required to complete 180 credits. This programme is also available as a postgraduate diploma (PG Dip) which amounts to 120 credits and a postgraduate certificate (PG Cert) which amounts to 60 credits. Students who complete the PG Cert and PG Dip will have the opportunity to progress to a full master’s degree.

Assessment

Assessment is exclusively through online assignments rather than examinations. You will be assessed through a range of activities, including written assignments, presentations, discussion forum participation and journal entries.

Delivery

This programme is designed to be studied wholly online and part-time. Teaching is delivered through our state-of-the-art Virtual Learning Environment (VLE), which provides students with access to all resources required for interactive study online. On this platform you will be encouraged to work collaboratively with classmates and actively read around your topic through our comprehensive library of eBooks and journals.

Career 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.

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)
Research Methods in Computer Science (15 Credits)
Computer Science Capstone Project (60 Credits)

Tuition fees

UK fees
Course fees for UK students

For this course (overall cost)

15,300

International fees
Course fees for EU and international students

For this course (overall cost)

15,300

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 our admissions team. 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.

Department profile

The University of Liverpool are recognised as European leaders in 100% online postgraduate education, drawing on more than two decades experience of delivering high quality online learning for a global community of students. More than 10,000 students from over 160 countries have completed the University’s online programmes.  You will receive a highly regarded qualification from the University of Liverpool, a founding member of the UK Russell...more