Master of Arts in Artificial Intelligence, Data and Communication

University of Westminster - Cavendish Campus

UK,England

 0 Shortlist

12 Months

Duration

CAD 17,500/year

Tuition Fee

CAD 0 FREE

Application Fee

Sep 2025

Apply Date

UK, England

Type: University

Location Type: Urban

Founded: 1992

Total Students: 19,000 +

Campus Detail

Main Campus Address

115 New Cavendish St, London W1B 2HW, United Kingdom

Master of Arts in Artificial Intelligence, Data and Communication

Program Overview

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.