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: M.Castelle.1@warwick.ac.uk or Director of Postgraduate Taught Courses Dr. Naomi Waltham-Smith: Naomi.Waltham-Smith@warwick.ac.uk.

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.

Recent MSc in Big Data and Digital Futures graduates have gone on to pursue the following careers:

• Business Analyst, SkyscannerLink opens in a new window.
• Software Product Owner/Consultant, Valtech Mobility GmbHLink opens in a new window.
• Senior Data Coach, MultiverseLink opens in a new window London-based data science training company
• Smart Building Engineer, Schneider ElectricLink opens in a new window.
• Analytics Graduate, Jaguar Land RoverLink opens in a new window.
• Systems and Data Analyst, Redwood BankLink opens in a new window.
• Information Analyst, Oxfordshire City CouncilLink opens in a new window.

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.

• Big Data Research: Hype or Revolution? (IM952)Link opens in a new window
• Dissertation (10,000 words) (IM906)Link opens in a new window

• Data Science Across Disciplines (IM939) Link opens in a new window

• Fundamentals in Quantitative Research Methods (PO91Q)Link opens in a new window

• Scaling Data and Societies (IM950) Link opens in a new window

• Advanced Quantitative Research (PO92Q) Link opens in a new window

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, Naomi-Waltham-Smith: Naomi.Waltham-Smith@warwick.ac.uk

• Interdisciplinary Approaches to Machine Learning (IM931)
• Foundations of Data Analytics (CS910)
• Data Mining (CS909)
• Visualisation Foundations (IM942)
• Advanced Visualisation Labs (IM946)
• Data Visualisation in Science, Culture, and Public Policy (IM949)
• Media Activism (IM933)
• User Interface Cultures: Design Method, and Critique (IM923)
• Urban Data: Theory and Methodology (IM919)
• Ecological Futures: Science, Media and Culture (IM934)
• Approaches to the Digital (IM902)
• Digital Objects, Digital Methods (IM904)

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.

DURATION

MSc:

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

ENTRY REQUIREMENTS

2:i undergraduate degree (or equivalent).

ENGLISH LANGUAGE REQUIREMENTS

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.

COURSE FEES

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.

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

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