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University of Westminster, London · Full-time

AI, Data and Communication

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…

MA1 yearFull-time

Browse computer science courses in UK

School of Media and Communication · Computing

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. This interdisciplinary MA – which welcomes graduates from a range of backgrounds – will equip you for fascinating job roles at the nexus of AI, data and communication, with the right expertise and knowledge to talk to data scientists, designers, marketeers, policy advisors and other stakeholders across a variety of disciplines. The course allows you to examine the impact of AI applications on society globally, using advanced research skills to analyse and debate the subject. You can also choose from optional modules which focus on AI and data from a political, economic, cultural or international relations perspective. While all students study a core introductory module in data science which includes practical lab sessions, you can also extend your technical knowledge via optional modules which explore technologies and applications such as data mining, data visualisation and machine learning. Combining hands-on practical learning with theory and analysis, this cross disciplinary course will give you the critical, analytical and creative skills you need to help shape our digital future.

Getting in

As the university states it

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. If your first language is not English you should have an IELTS 6.5 overall, with at least 5.5 in each element.

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Course details as published by the university. No graduate-outcome statistics are published for UK postgraduate courses, so none are shown.