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Big Data Analytics MSc, PGDip, PGCert - Online Course

Big Data Analytics MSc, PGDip, PGCert - Online Course

Different course options

Study mode



30 months

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Data Analysis Database Management

Course type


Course Summary

If you would like to develop your knowledge and open career opportunities in the expanding field of big data analytics, then this specialist master’s programme can help you to get ahead and be part of the revolution.

What is Big Data Analytics?

Big data analytics is the process of using advanced analytics against large quantities of data to uncover hidden patterns, correlations, market trends and much more, which can help businesses to make business decisions.

Big data is a term applied to data sets that are too large, diverse or complex to be analysed through traditional data-processing software. Big data analytics allow businesses to harness their data and to identify new opportunities, which in turn can lead to more efficient operations and higher profits.

About the programme

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.

Career prospects

With an expected skills gap shortage in the industry, gaining a specialist qualification in big data analytics will help you to succeed in this constantly evolving field of computer science. Potential job titles include data scientist, big data consultant, machine learning engineer and research scientist.


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

Tuition fees

UK fees
Course fees for UK students

For this course (per year)


International fees
Course fees for EU and international students

For this course (per year)


Entry requirements

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.