PGCert Big Data Analytics

Develop practical skills in the processing, storing, analysing, visualising and interpreting of large sets of data, gaining expertise with the latest visualisation tools and a critical understanding of new technologies.

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    Course Length: 3 Months Full-Time
    Start Dates: January 2021, January 2022
    Subjects: Computing and IT
    Location: Edge Hill University

    This Postgraduate Certificate provides you with a practical understanding of big data analytics and emerging technologies. You will gain the essential skills and confidence required to apply knowledge and understanding of issues surrounding big data analytics in a range of contexts. There is the opportunity to develop a critical understanding of visualisation concepts and emerging technologies, as well as to develop and evaluate new or advanced bespoke solutions for 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.

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    In Depth

    What will I study?

    Gaining knowledge of big data applications and visualization, along with a critical understanding of new technologies, you will develop a systematic and critical understanding of the algorithms and programming techniques required for processing, storing, analysing, visualising and interpreting data.

    How will I study?

    The course is delivered through a combination of seminars and tutorials in 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. You will apply your knowledge in a practical environment using the state of the art facilities in the Tech Hub. 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.

    How will I be assessed?

    Your vocational capability, academic critical thinking and intellectual development will be assessed throughout the course. This is achieved through a combination of coursework, portfolios, case studies and  problem-solving exercises. You may be assessed individually or as part of a group.

    Who will be teaching me?

    You will be taught by highly qualified, experienced and enthusiastic academic staff who are research-active and fully engaged with the wider business and academic community. The programme team specialise in a variety of subjects so you will benefit from a wide range of expertise. There will also be occasional input from external IT professionals who will be invited to teach particular sessions.

    A Great Study Environment

    Two students with rucksacks walk in front of the Tech Hub.The Department of Computer Science is based in the state-of-the-art £13m Technology Hub. This purpose-built development offers highly contemporary suites of outstanding facilities for Computer Science students.

    Our modern computer laboratories are equipped with high-specification computers, high-resolution screens and the latest hardware and software.

    A four-screen CAVE (Computer Augmented Virtual Environment) provides a super immersive 3D virtual environment, enabling users to immerse themselves in a virtual room and experience real life scenarios in 4K resolution.

    There are also specialist laboratories for networking and games programming, in addition to a specialist research laboratory, open access laboratory, a Harvard style lecture theatre, and ‘The Hatchery’, a working space for new business ideas.

    Learning resources include robots and a robotics simulator, wired and wireless networking hardware, graphics software, web development tools, software development environments, big data servers, eye trackers, giant 3D interactive teaching screens, and other specialist software required for studying forensics and internet security techniques.

    The department has strong links with industry and the curriculum is kept current and highly relevant through input from our Employer Advisory Panel.


    Expand All

    CIS4116Emerging Technologies (20 credits)

    Emerging Technologies equips you with an advanced understanding of emerging technology and develops the appropriate skills to critically evaluate their suitability, impact and applicability to new scenarios. The module also strengthens your ability to identify and analyse ethical issues related to the use of new technology for both development and research purposes, including an overview of the professional and legal constraints within which computing specialists operate.

    Assessment: Coursework: 80%, Practical(s): 20%.

    CIS4118Data Visualisation (20 credits)

    Data Visualisation immerses you in the techniques used for understanding and interpreting data to present it in a pictorial or graphical format. These approaches enable people to present analytics visually in order to aid the grasping of difficult concepts or to help identify new patterns. The module will enable you to understand and interpret unstructured heterogeneous real-word data and present it visually in a quick and easy way to convey concepts in a universal manner. In particular, you will learn cutting edge techniques linked to information visualisation, scientific visualisation and visual analytics and experiment in visualising big data in immersive virtual reality environments. Many aspects of the module will be supported by real-world examples and case studies.

    Assessment: Coursework: 100%.

    CIS4120Applications in Big Data (20 credits)

    Applications in Big Data provides you with hands-on experience in handling, managing, processing and analysing diverse types of data in large volumes. The module explores analysis methods, data mining algorithms, visualisation techniques and advanced programming skills which will be combined to address real-life big data analysis tasks. You will develop the skill of deciding which tools and methods are suitable for a given big data analysis task and consider how to combine them in a unified system and how to implement them to provide a ready-to-use solution.

    Assessment: Coursework: 100%.


    You can expect to receive your timetable at enrolment. Please note that while we make every effort to ensure that timetables are as student-friendly as possible, scheduled teaching can take place on any day or evening of the week. Postgraduate Computing courses are typically taught between 6pm-9pm on weekday evenings.


    Every effort has been made to ensure the accuracy of our published course information, however our programmes are subject to ongoing review and development. Changing circumstances may necessitate alteration to, or the cancellation of, courses.

    Changes may be necessary to comply with the requirements of accrediting bodies, revisions to subject benchmarks statements, to keep courses updated and contemporary, or as a result of student feedback. We reserve the right to make variations if we consider such action to be necessary or in the best interests of students.

    Entry Criteria

    Entry Requirements

    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.

    English Language Requirements

    International students require IELTS 6.5, with a score no lower than 6.0 in each individual component, or an equivalent English language qualification.

    If your current level of English is half a band lower, either overall or in one or two elements, you may want to consider our Pre-Sessional English course.

    Recognition of Prior Learning

    Edge Hill University recognises learning gained elsewhere, whether through academic credit and qualifications acquired from other relevant courses of study or through recognition of an individual’s professional and employment experience (also referred to as ‘experiential learning’). This may include credit or learning undertaken at another university.

    Previous learning that is recognised in this way may be used towards meeting the entry requirements for a programme and/or for exemption from part of a programme. It is your responsibility to make a claim for recognition of prior learning. For guidance, please consult the University’s academic regulations (sections C7 and F3.1) or contact the faculty in which you are interested in studying.

    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 PGCert in Big Data Analytics provides you with the skills and knowledge to develop your interests for a career in many industries where decisions are data driven. You will be ideally placed to progress into roles where you will work interpreting and visualising data.


    Tuition Fees

    Tuition fees for full-time study on this Postgraduate Certificate for academic year 2020/21 are £1,800 for UK and EU students and £4,500 for international students.

    Financial Support

    For comprehensive information about the financial support available to eligible UK and EU students joining postgraduate courses at Edge Hill University in academic year 2020/21, together with details of how to apply for potential funding, please view our Money Matters 2020/21 guide at

    Financial support information for international students can be found at


    How to Apply

    There is an online application process for this programme.

    Please choose the application form for your preferred intake date and mode of study.

    Visit for more information about the application process.

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    Further information for international students about how to apply is available at

    Should you accept an offer of a place to study with us and formally enrol as a student, you will be subject to the provisions of the regulations, rules, codes, conditions and policies which apply to our students. These are available at

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    Course Changes

    Expand All This page outlines any material changes to course content, programme structure, assessment methods, entry criteria, and modes of study or delivery, implemented in the past two years.

    4th April 2019 - Change of Tuition Fees

    Tuition fees for international students joining this programme in academic year 2019/20 have increased from £4,385 to £4,440.

    Tuition fees for UK and EU students for academic year 2019/20 remain unchanged.