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MSc Design and Artificial Intelligence

  • DeadlineStudy Details:

    MSc 1 year full-time

Masters Degree Description

​​Gain highly-sought-after skills in Design and Artificial Intelligence (AI), studying in London, a global design hub and leading centre for AI innovation.

​The world of design is rapidly changing due to the creative possibilities of generative AI and the ability of high- powered data analytics to tailor innovative solutions to the needs of individual users. Advanced knowledge of AI is fast becoming a prerequisite for those seeking careers in the design industry.

​This master’s is aimed at students who wish to harness the transformative potential of AI for design and does not require prior technical training. It will equip you with the technical and critical skills needed to understand how AI is changing our societies and what this means for design thinking and practice.

Entry Requirements

A 2:2+ honours degree (with a minimum of 55% overall), or equivalent international qualification.

Open to all discipline backgrounds, no computing background required.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

There are lots of options available to you to fund your master’s programme, from alumni bursaries to school and department scholarships and government loans.

Student Destinations

From driverless cars to the design of new medicines, AI has made rapid advances in recent years. Over the next decade, AI is forecast to become a €1 trillion industry which will create up to 50 million new jobs globally and make intelligent machines part of our daily lives.

AI is creating new tools for creativity and collaboration and personalising user experiences. This programme will train the next generation of industry leaders to harness the power of AI to build innovative design solutions. 

Module Details

Semester 1

Compulsory modules

  • Design Thinking 
  • Digital Application Development 
  • Grand Challenges 
  • Principles of Artificial Intelligence and Data Analytics 

Semester 2

Compulsory modules

  • Artificial Intelligence and Society 
  • Design Research 
  • Collaborative Project 

Optional modules

  • Design for Experiences 
  • Applied Cryptography 

Summer

Compulsory module

  • Dissertation

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