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MSc Management and Artificial Intelligence

  • DeadlineStudy Details: MSc 1 year full-time

Masters Degree Description

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

​The world of management is rapidly changing due to the efficiency gains of automation and the ability of high-powered data analytics to drive decision-making, organisational change, marketing and customer interactions. Advanced knowledge of AI is fast becoming a prerequisite for those seeking senior positions in business.

​This master’s is aimed at students who wish to harness the transformative potential of AI for management 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 management.

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 the automation of routine tasks to the building of smart supply chains, AI is changing how businesses operate and transforming the world of management.

​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.

​This programme will train the next generation of industry leaders to harness the power of AI to drive sport innovation.

Module Details

Semester 1

Compulsory modules

  • Comparative Management (15 credits)
  • Digital Application Development (15 credits)
  • Grand Challenges (15 credits)
  • Principles of Artificial Intelligence and Data Analytics (15 credits)

Semester 2

Compulsory modules

  • Artificial Intelligence and Society (15 credits)
  • Research Methods (15 credits)

Optional modules

  • Accounting and Financial Management (15 credits)
  • New Venture Creation (15 credits)
  • Collaborative Project (15 credits)
  • Corporate Governance (15 credits)

Summer

Compulsory module

  • Dissertation (60 credits)

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