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MA AI, Data and Communication

University of Westminster — London, United Kingdom

MA AI, Data and Communication is a postgraduate Data Science & AI course at University of Westminster, London, United Kingdom. It takes 1 year, costs £18,685 per year and starts in September.

Postgraduate · 1 year · Full-time · Data Science & AI · £18,685 per year

Intakes: September

It is estimated that there will be 97 million data-related jobs by 2025, and many of these will require employees with strong analytical and communication skills who are able to connect data with the needs of an ever-growing range of sectors. The AI, Data and Communication MA is one of the few in the UK to combine media and communications with an accessible introduction to computer science. While you will learn about some of the technical and practical aspects related to AI and data, the focus will be on encouraging you to think critically about how data is used, the ethical issues around AI, and what the big data revolution means for society now and for future generations. Top reasons to study this course (from the course page): - Study in London – a global hub for data, AI and digital innovation – as part of a diverse international community of students - Draw on research and attend seminars and events within our world-leading research centres: the Communication and Media Research Institute (CAMRI) and Centre for Research and Education in Arts and Media (CREAM) - Undertake a major independent research project on an agreed topic, under the supervision of an academic expert - Benefit from our strong links with organisations in data and AI including Ada Lovelace Institute, Alan Turing Institute, AmnestyTech, BBC Research & Development, DataKind UK, InnovateUK, London Office of Technology and Innovation, Open Data Institute, Tactical Tech and TechUK - Hear from industry speakers. Previous examples have included Jasmine Eskenzi, Founder and CEO of The Zensory - Taught by experts – The course is led by Dr Pieter Verdegem, who has recently been awarded an Innovation Fellowship from British Academy to investigate public impact of AI in UK media industries. Dr Verdegem’s leadership and expertise is actively shaping the field through cutting-edge research. Campus: Harrow, North-West London and Cavendish, Central London Duration: 1 year Start dates: Full-time - September 2027 International tuition fee: £18,685 (Price per academic year). The university states annual fees stay the same throughout your studies. Careers (from the course page): The course focuses on the three skills ranked as the most in-demand by businesses and other organisations according to the World Economic Forum’s Future of Jobs Report – analytical thinking, creative thinking, and AI and big data. Graduates go on to work in a wide variety of sectors including the media and creative industries, PR and advertising, technology (data mining, data analytics), consulting, research and development, and regulation and policy. They work for organisations from large multinationals to government bodies to start-ups. Some go on to further study such as an MPhil or PhD. Graduate employers named on the course page: Data analyst, Data policy advisor, Data strategist, Marketing data manager, Social media data analyst, Digital campaigner, Customer data manager, Hearst UK, London School of Economics, PriceWaterhouseCoopers, UK Government, United Nations. Source: University of Westminster course page.

Modules

• Data in Communication and Society (Core)
• Data System Concepts and Fundamentals (Core)
• Data and Digital Research Methods (Core)
• Major Project (Core)
• Social Media (Option)
• Political Economy of Communication (Option)
• Data Mining and Machine Learning (Option)
• The Politics of Global Complexity (Option)
• Artificial Intelligence and Society (Option)
• Digital Cultures (Option)
• Digital Media and Critical Theory (Option)
• Data Visualisation and Dashboarding (Option)
• Hack Lab and Creative Technology (Option)
• Digital Media Business: Strategy and Entrepreneurship (Option)
• Policies for the Digital Age (Option)
• Media Futures (Option)
• Law and Digital Disruption (Option)
• Law and Data (Option)
• Law and Governance of Technological Risk (Option)