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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.

CORE MODULES As part of your MSc you'll also complete a dissertation: OPTIONAL MODULES

Please note that not all modules listed here will be available each year due 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:

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 B

There may be the option to attend the Pre-Sessional English Programme prior to commencement of study. See the Pre-Sessional English Programme website 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 2019-20
Degree MSc PG Diploma
Status full-time

(1 year)


(2 years)


(9 months)


(18 months)

Home/EU £9,870 £5,365 per year £6,870 £3,865
Overseas £21,130 £10,995 per year £14,370 £7,615

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.

Funding is available for Home / EU students for the three Masters courses. There are a number of options available via CIM and Q Step GREAT-India Scholarships are available for the three Masters courses. This is a competitive bursary available to students applying from India. PhD Funding is possible through a number of sources at Warwick.

Further information on entry requirements are available here.


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.

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