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MSc Artificial Intelligence and Data Analytics

  • DeadlineStudy Details:

    MSc 1 year full-time, up to 4 years part-time

Masters Degree Description

Join the race to harness AI as a force for business and social progress on our MSc Artificial Intelligence and Data Analytics, studying at the heart of London’s thriving tech sector.

Artificial intelligence is transforming life and business as we know it – and evolving at a lightning pace.

In the face of ever-growing swathes of data generated by increasing digital activity, organisations need talented AI specialists who can translate these assets into value in effective and responsible ways.

Entry Requirements

This programme is suitable for students who have a minimum 2:2 honours degree (50% in final year), or equivalent international qualification, in a range of disciplines, including digital technologies, engineering, mathematics, science, finance, economics and marketing.

Applicants from other disciplines (e.g. business and management, and subjects within the social sciences) who wish to study this programme are also welcome to apply and will be considered on a case by case basis.

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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

Across sectors, there’s an acute shortage of AI and data analytics experts, particularly in small to medium-sized organisations where the potential for transformation is vast.

This master's will set you up to make an impact in any area that interests you, in AI and data-roles across business and socially-focused organisations.

Graduates of this course have taken their skills into wide-ranging roles including:

  • Data scientist
  • Data engineer
  • Technology consultant
  • Digital insights manager
  • Information systems manager

Module Details

Semester 1 

Compulsory modules

  • Digital Application Development
  • Advanced Big Data Analytics
  • Principles of Artificial Intelligence and Data Analytics
  • Grand Challenges

Optional modules

Choose one of:

  • Design Thinking
  • Cybersecurity and Forensics
  • An Introduction to Sport Analytics

Semester 2

Compulsory modules

  • Reinforcement Learning
  • Dissertation

Optional modules

Choose one of:

  • Cloud applications and services
  • Information Systems Security

Choose one of:

  • Internet of Things & applications 
  • Advanced Programming and Data Visualisation 

Choose one of:

  • Collaborative Project 
  • Game Technologies and Advanced 3D Environments

Summer

Compulsory module

  • Dissertation

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