This degree responds directly to the growing demand by employers for a new generation of postgraduates who can critically engage with big data 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.
How is our world influenced by big data? How are our lives represented in big data? This course will enable you, whatever your disciplinary background, to understand and act in a society transformed by data, networks and computation and develop a range of interdisciplinary capacities.
- Fundamentals in Quantitative Research Methods
- Advanced Quantitative Research
- Big Data Research: Hype or Revolution?
Previously, a selection of the following options have been offered:
- Interdisciplinary Approaches to Machine Learning
- Urban Resilience, Disasters and Data
- User Interface Cultures: Design, Method and Critique
- Digital Cities
* The modules mentioned above may be subject to change. Please read our terms and conditions for more detailed information.
Modules in this course make use of range of teaching and learning techniques, including, for example: blended learning including the use of an online virtual learning environment; student group and project work; lectures; seminars; reading and directed critical discussion; independent research by students; practice-based activities.
A combination of essays, reports, design projects, technical report writing, practice assessments, group work and presentations and an individual research project.
This course will give you the skills to 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.
Our MSc will also set you up for further academic studies including our MPhil/PhD in Interdisciplinary Studies, or other relevant disciplines.
To Visit Warwick...
There are a number of different ways to visit the University of Warwick throughout the year. We host bespoke PG visits, where you can talk directly with your chosen department and explore our campus through a personalised tour. Some departments also host their own events and open days, where you can learn more about your department or course of study. To find out more about all of these opportunities, visit our Postgraduate Visits page.
Full-time: 1 year
(September 2019 - September 2020)
Part-time: 2 years
(September 2019 - September 2021)
2:i undergraduate degree. We consider each application on its merits, so please get in touch
with us to discuss course eligibility if you are unclear about entry requirements or have any questions.
English Language requirements
IELTS overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above.
There may be the option to attend the Pre-Sessional English Programme prior to commencement of study.
Department of study
Location of study
University of Warwick
See Student Finance
A range of scholarships and full bursaries are available for students studying the MSc in Big Data and Digital Futures. For more information, click here.
Additional Course Costs
All students on CIM degrees require a laptop computer for their studies. This is provided by the centre (CIM) for students to use and keep. The cost is included in course fees.
Find out more about fees and funding on the University website.