
Overview
We live in an age where almost everything of what we do is connected to data. Big data and datafication - the increasing transformation of multiple aspects of everyday lives into digital data - pose great opportunities but also risks for contemporary societies.
This new MA Data, Culture and Society degree offered at the University of Westminster addresses, explores and creatively utilises this transformation. We place an emphasis on current and future technologies and practices such as algorithms, artificial intelligence, big data, blockchain, data analytics and data mining, the Internet of Things, and others.
You will be introduced to the tools and approaches that can be used for collection, analysis, management and visualisation of data, as well as to the skills needed to critically think about the ethical, cultural, social and political implications of their practice.
The course combines technical skills, critical use and creative production. It directly addresses graduates who may wish to acquire a set of skills in relation to data analytics, processing and visualisation, while maintaining and furthering a critical mode of enquiry into practices and trends that shape individuals, organisations and societies today. It also speaks to graduates with technical backgrounds and work experience in data-related industries, who wish to develop a more critical and multidisciplinary understanding of the social, cultural, political and economic implications of data-driven societies today.
Career Path
- The substantial growth in the number of jobs related to the digital and data world will further the need for graduates able to combine creative, applied and theoretical, and critical data skills with an ever wider range of subject areas. Graduates from this programme will be fully capable and confident to combine these skills during their careers.
- Students who complete the Data, Culture and Society MA can work in a wide variety of sectors connected to data in different ways: media and creative industries, PR & advertising, consulting and think tanks, start-ups, research and development, regulation and policy, data and knowledge-based companies and organisations, data management. Possible roles that graduates can work in may include Digital Campaigning, Marketing Insights; Marketing Data Manager; Archivist; Social Data Analyst; Data Analyst; Data Specialist; Data Strategist, Investigative analyst; Project Manager, Data Policy Advisor; Customer Data Analyst.
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Data and Society
- Data Systems Concepts and Fundamentals
- Social Media: Creativity, Sharing, Visibility
- Political Economy of Communication
- Data Mining and Machine Learning
- The Politics of Global Complexity
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
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Language
Credits
Delivered
Disciplines
Data Science & Big Data Political Science Artificial Intelligence View 264 other Masters in Artificial Intelligence in United KingdomExplore more key information
Visit official programme websiteAcademic requirements
English requirements
Other requirements
General requirements
- A minimum of an upper second class honours degree (2:1) or a lower second class honours degree (2:2) and substantial relevant work experience.
Make sure you meet all requirements
Visit official programme websiteTuition Fee
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International
15000 GBP/yearTuition FeeBased on the tuition of 15000 GBP per year during 12 months. -
National
8500 GBP/yearTuition FeeBased on the tuition of 8500 GBP per year during 12 months.
- UK PT tuition fee: £950 (Price per 20-credit module)
- International PT tuition fee: £1,700 (Price per 20-credit module)
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.