Big Data Analytics
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| PG Dip, MSc, PG Cert | Online | Part-time, Online | 24 - months | January, March, May, July, September, November | £17357 in total | £17357 in total |
The tuition fee is fully inclusive of all costs: teaching materials, core textbooks, assessments and resits. If you live in England, you may be eligible for a postgraduate loan to cover some of the costs of your degree. If you are not eligible for a student loan, you will be offered a simple monthly payment plan to spread the cost of your tuition over the duration of your studies.
Scholarships and Discounts
- 10% discount for University of Liverpool alumni.
- You will receive a 5% discount if you choose to pay the full tuition fee upfront.
- A Executive Scholarship of up to 15% is available for those who enrol on January 2026 intake.
- A UK Scholarship of 20% is available for students residing in the United Kingdom, who enrol on the January 2026 intake of our full master's awards.
- Corporate discounts of 10% are available for organisations looking to invest in the skills of three or more employees. For more information, please visit our website where you can speak to one of our admissions advisors to learn how you can upskill your team for organisational success.
*All tuition fees shown are net of any applicable sales tax payable by you in your country of residence. Where we are required to add sales tax at the local statutory rate, this will be added to the tuition fees shown and confirmed during the payment process.
Please note that scholarships cannot be combined. However, it is possible for students to combine discounts or use them with scholarships depending on eligibility.
About Big Data Analytics, PG Dip - at University of Liverpool Online
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.
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.
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.
The University of Liverpool achieved Gold in the Times Higher Education (THE) Online Learning Rankings 2024.
Teaching methods and style
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.
Methods of 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.
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.
Entry requirements
Contact University of Liverpool Online to find course entry requirements.