What will I learn?

This Masters degree provides you with a strong conceptual and theoretical understanding of big data analytics. You will gain the essential skills and confidence required to apply and produce knowledge and understanding of issues surrounding big data analytics in a range of contexts. This will enable you to evaluate, adapt, create and utilise appropriate models, methods, practices, theories and computational techniques in the face of changing and evolving technology. There is the opportunity to develop a critical understanding of visualisation concepts, modelling and algorithmic foundations, as well as to develop and evaluate new or advanced bespoke solutions for processing, analysing and making sense of big and/or complex data. The programme enables you concentrate on a specific practical area within computer science and is suitable whether you are a recent graduate or already working in the IT industry and looking to change career paths.

What will I study?

Gaining an in-depth and systematic knowledge of big data management theories, concepts, methodologies and professional practice, you will develop a systematic and critical understanding of algorithms and programming techniques for processing, storing, analysing, visualising and interpreting data.

You will learn the practical skills of mathematics that underpin the processing of data, the programming applications required to manage big data, and the visualisation techniques necessary to make sense of large data sets. There will also be the opportunity to work with emerging technologies derived from industry.

How will I study?

The course is delivered through a combination of lectures, seminars and tutorials with a mixture of daytime and evening classes. Sessions will frequently be highly interactive with a focus on the practical application of concepts and the use of case studies drawn from real life. An emphasis on small group sizes ensures that you will have plenty of opportunities for individual discussions with your tutors. Typically, you will study for approximately nine hours a week if you are studying on a full-time basis.

Career Prospects

What are my career prospects?

As organisations become ever more dependent on data, there are increasing opportunities in specialist positions related to obtaining, processing and visualising data.

The MSc Big Data Analytics provides you with the skills and knowledge to develop your interests for a career in data science. You will be ideally placed to progress into roles where you will work as a data scientist or data analyst.

The programme has initial accreditation from BCS, The Chartered Institute for IT, on behalf of the Engineering Council, for the purposes of partially meeting the academic requirement for registration as a Chartered Engineer. The programme also has initial accreditation from BCS, The Chartered Institute for IT, for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional. Initial accreditation is granted to new programmes which are yet to have a graduating cohort. Successfully completing an accredited BCS course is the first step to full BCS membership and to being awarded chartered status.

Which department am I in?

Computing and IT

Study options

Full Time (12 months)

Tuition fees
£13,500.00 (US$ 18,574) per year
£13,500 for students enrolling on the programme in academic year 2021/22.

This is a fixed fee

*View details on institution website

Start date

January 2022, September 2022, January 2023


Edge Hill University

St Helens Road,



L39 4QP, England

Entry requirements

For students from United States

Students need to have degree awarded with minimum GPA of 2.75 from a recognised University.

For international students

You should have a degree equivalent to UK first-class or second-class honours (2:2 or above), comprising 50% or more of content in a computing discipline. Equivalent knowledge gained in alternative ways, for example through professional experience or completion of BCS Professional Diploma in IT (Level 6), is also accepted. International students require IELTS 6.5, with a score no lower than 6.0 in each individual component, or an equivalent English language qualification.

*There may be different IELTS requirements depending on your chosen course.