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big data

This MSc responds directly to the growing demand by employers for a new generation of postgraduates who can critically engage with big data both theoretically, methodologically and practically.

In contrast to many big data-focused degrees (such as Data Science or Data Analytics) where the emphasis is almost exclusively on data practices and computational tools, this degree underpins key practical skills with a range of theoretical approaches to data.

This degree is aimed at students from a range of disciplinary backgrounds who want to learn more about the ways in which data and digital processes play a role in everyday life. Although no specific background is required, your application must demonstrate an ability to work creatively and an interest in big data and digital futures in general.

The MSc degree provides an excellent route to those intending to undertake further postgraduate research at doctoral level, whilst the Postgraduate Diploma and Postgraduate Certificate allow you to focus or skill-up in particular data-driven approaches in shorter time.

For further information, contact the Course Convenor, Michael Castelle: or Director of Postgraduate Taught Courses Dr. Michael Dieter:

The MSc will enable students from various disciplinary backgrounds to understand and act in a society transformed by big data, networks and computation and develop a range of interdisciplinary capacities.

Upon graduation, students can follow an academic or professional career working in knowledge-based companies, NGOs, and in such fields as information policy, new media production, public relations, or administration and entrepreneurship in big data and digital culture-based companies.

The MSc can also lead to academic studies e.g. the MPhil/PhD in Interdisciplinary Studies or other relevant disciplines. Likewise, the Postgraduate Diploma and Postgraduate Certificate allow excellent foundations for students from different disciplinary backgrounds to learn more about big data and to skill-up in a relatively short time on particular research skills.


    Please note that the modules listed here will be available each year subject to staff availability and student number uptake. Modules will also be updated annually. For further information, contact the Director of Taught Postgraduate Degrees, Michael Dieter:

    • Interdisciplinary Approaches to Machine Learning (IM931)
    • Approaches to the Digital (IM902)
    • Digital Objects, Digital Methods (IM904)
    • Spatial Methods and Practice in Urban Science (IM913)
    • Urban Data - Theory and Methodology (IM919)
    • Digital Sociology (IM920)
    • Visualisation (IM921)
    • User Interface Cultures: Design Method, and Critique (IM923)
    • Digital Cities: Interdisciplinary Perspectives (IM927)
    • Media Activism (IM933)
    • Ecological Futures: Transdiciplinary Approaches(IM934)
    • Data Science Across Disciplines: Principles, Practice and Critique (IM939)
    • Data Mining (CS909)
    • Research Design, Workflow and Data Management (QS904)

    All our modules offer European Credit Transfer System (ECTS) credits and please see individual module pages for equivalence. Optional modules from other departments may be considered as part of your degree programme. Should you wish to undertake an outside option, you will need to discuss this with your Masters Convenor.



    Full-time: 1 year

    Part-time: 2 years

    Postgraduate Diploma:

    Full-time: 9 months

    Part-time: 12 months

    Postgraduate Certificate:

    Full-time: 6 months

    Part-time: 12 months


    2:i undergraduate degree (or equivalent).


    Band BLink opens in a new window

    There may be the option to attend the Pre-Sessional English Programme prior to commencement of study. See the Pre-Sessional English Programme websiteLink opens in a new window for information, but note that CIM has the additional requirement of a minimum 6.0 in the IELTS writing component for acceptance through this programme.


    Year 2022-23
    Degree MSc PG Diploma
    Status full-time

    (1 year)


    (2 years)


    (9 months)


    (18 months)

    Home £11,529 £6,248 per year £8,033 £4,494
    Overseas £24,696 £12,831 per year £16,800 £8,873

    We consider all eligible applicants for bursaries and scholarship while funds are available, so do apply for the course as early as possible if you'd like to be considered.

    Further Details
    CIM Masters Bursary

    A number of bursaries are available for the MSc programme. Each will provide an £8,000 contribution towards tuition fees.

    Deadline for applications: 31 Aug 2022

    Please click here to apply

    Li Xiaoming Scholarships

    A scholarship in memory of Li Xiaoming. Available to Masters level students from the People's Republic of China.

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    Postgraduate Loans

    Home / EU students may be eligible to apply for a loan to support their study and living costs. Postgraduate Loans have to be paid back.

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    Warwick Postgraduate Sanctuary Scholarships

    Scholarships to support refugee, humanitarian protection and asylum seeking students in the UK.

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    Warwick Alumni Discount Scheme

    10% tuition fee discount will be available to Warwick graduates who have Home/EU or Overseas fee status. You must be a graduate of Warwick at any level of qualification.

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    Warwick Taught Masters Scholarships

    Bursaries to support Home fee status students and UK domicile EU students who satisfy certain eligibility criteria.

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    Commonwealth Shared Scholarship Scheme

    Fee and stipend awards to support MA/MSc candidates from member states of the Commonwealth.

    Full details are available hereLink opens in a new window

    PhD Funding is possible through a number of sources at Warwick.

    Further information on entry requirements are available hereLink opens in a new window.


    Increasingly, big data is used to track and trace social trends and behaviours. This course addresses how big data challenge traditional research processes, and impact on security, privacy, ethics, and governance and policy.

    Apply Here