Overview
What is Big Data? Beyond the large data sets that can be analysed to reveal patterns, trends, and associations, it is increasingly about our everyday lives and how the data we generate is transforming social, cultural, political and economic processes and the generation of knowledge.
The Big Data in Culture and Society MA at King's College London is likely to appeal to a broad range of students across the Arts and Humanities from Sociology to Political Science to English to Business and beyond. It will attract students interested in emerging trends who recognise that data scientists and analysts need collaborators with domain specialisation and critical insights.
Key benefits
- Taught by scholars working at the leading edge of digital studies and big data.
- Offers a lively mix of theory and practical work.
- Equips students with skills that are highly attractive to employers in our digital age.
- Provides a series of workshops with data scientists and analysts to learn collaborative practices and applications in social media and cultural analytics, mobile platforms, and data visualisation.
- Is at the forefront of digital developments – Big Data is transforming society, politics, the economy and culture and impacting work.
- Offers innovative interdisciplinary methods of study crossing technological and cultural perspectives.
- Links Big Data to Culture, Law & Ethics, Geography, Public Health, and Social Life.
- Located in a highly ranked department – the Digital Humanities department was ranked first in the UK for research power (2014 Research Excellence Framework).
Career prospects
Our graduates will follow a broad range of career paths. The skills you develop are likely to be particularly transferable to work in social media management, analytics & website management, CRM management, digital advertising, metrics management, market research, marketing and across cultural industries.
Programme Structure
Courses include:- Theorising Big Data
- Big Data in Practice: Co-laboratories, Tools and Methods
- From Data to Insight – Cultural and Social Analytics
- Big Data and the Law: Foundations, Regimes and Principles, Challenges
- Artificial Intelligence & Society
- Music and Sound in Digital Societies
- Digital Storytelling
- Web Technologies
- Global Digital Audiences
- Digital Innovation
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , National
- Apply before , International
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Language
Credits
Delivered
Disciplines
Area & Cultural Studies Data Science & Big Data Media Studies & Mass Media View 362 other Masters in Media Studies & Mass Media in United KingdomAcademic requirements
English requirements
Other requirements
General requirements
- Bachelor's degree with 2:1 honours in an English, Arts, Humanities or Social Science degree, or a related discipline.
- A personal statement of up to 4,000 characters (maximum 2 pages) is required.
- A copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained.
- One academic reference is required. A professional reference will be accepted if you have completed your qualifications over five years ago. In some cases, we may request an additional reference from you.
- Applicants may wish to include a CV (Resume) or evidence of professional registration as part of their application.
Tuition Fee
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International
29574 GBP/yearTuition FeeBased on the tuition of 29574 GBP per year during 12 months. -
National
11760 GBP/yearTuition FeeBased on the tuition of 11760 GBP per year during 12 months.
Part-time:
- Home/UK fees: £5,880 per year
- Overseas fees: £14,820 per year
Living costs for London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.