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Applied Artificial Intelligence for Public Policy

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Programme delivery guide

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MSc programme

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This guide provides details on the modules that make up our online Applied Artificial Intelligence for Public Policy MSc programme.

Delivered in a revolving carousel structure, the order in which you study your modules will vary depending on when you begin your programme.

To earn a master’s qualification, you must complete modules totalling 180 credits.

Core modules

You will start the course with the following core modules.

  • Programming and Machine Learning (30 credits)
  • Foundations of Artificial Intelligence (15 credits)
  • Responsible Artificial Intelligence (15 credits)

Group one modules

You must complete two modules from this group: one compulsory and one optional.

Compulsory

  • Artificial Intelligence and Public Policy (15 credits)

Optional modules (choose one)

  • Artificial Intelligence, Law and Society (15 credits)
  • Strategy and Artificial Intelligence (15 credits)
  • What is Intelligence? (15 credits)
  • Artificial Intelligence and Society (15 credits)

Group two modules

You must complete two modules from this group: one compulsory and one optional.

Compulsory

  • The Ethics of AI (15 credits)

Optional modules (choose one)

  • Artificial Intelligence Governance (15 credits)
  • International Security and Emerging Disruptive Technologies (15 credits)
  • Creative Artificial Intelligence: Synthetic Media Production and Criticism (15 credits)
  • Education in an AI-Mediated World (15 credits)

Dissertation

You must complete both modules as part of your dissertation.

  • Interdisciplinary Research Methods (15 credits)
  • Applied Artificial Intelligence Research Project (45 credits)
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Teaching windows

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The teaching windows below show you when the modules run throughout each year.

Each teaching period lasts approximately 10 weeks, and in total, the programme will take you 2 years to complete.

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Teaching window 2026/27

Start date
Core
Groups one and two
Dissertation
January 2027
Programming and Machine Learning
May 2027
Foundations of AI AND Responsible AI
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Teaching window 2027/28

Start date
Core
Groups one and two
Dissertation
September 2027
Programming and Machine Learning
AI & Public Policy AND one optional module from group 1
January 2028
Foundations of AI AND Responsible AI
The Ethics of AI AND one optional module from group 2
May 2028
Programming and Machine Learning
AI & Public Policy AND one optional module from group 1
Research Methods AND Research Project
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Teaching window 2028/29

Start date
Core
Groups one and two
Dissertation
September 2028
Foundations of AI AND Responsible AI
The Ethics of AI AND one optional module from group 2

Research Methods AND Research Project

(Jan’27 cohort finish)

January 2029
Programming and Machine Learning
AI & Public Policy AND one optional module from group 1

Research Methods AND Research Project

(May’27 cohort finish)

May 2029
Foundations of AI AND Responsible AI
The Ethics of AI AND one optional module from group 2
Research Methods AND Research Project

(Sept’27 cohort finish)
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Teaching window 2029/30

Start date
Core modules
Groups one and two
Dissertation
September 2029
Programming and Machine Learning
AI & Public Policy AND one optional module from group 1

Research Methods AND Research Project

(Jan’28 cohort finish)

January 2030
Foundations of AI AND Responsible AI
The Ethics of AI AND one optional module from group 2

Research Methods AND Research Project

(May’28 cohort finish)

May 2030
Programming and Machine Learning
AI & Public Policy AND one optional module from group 1

Research Methods AND Research Project

(Sept’28 cohort finish)

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GET IN TOUCH

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If you have any questions about the modules or carousel structure, please contact our enrolment team.

+44 (0)20 4571 2373

onlineenrolmentservice@kcl.ac.uk

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Disclaimer
This page was last updated in July 2026. It contains information on the Applied Artificial Intelligence for Public Policy MSc that King’s College London (King’s) intends to run for students in 2027/28. King’s has made every effort to ensure that this information is both helpful and accurate but some changes, for example to courses, facilities or fees, may become necessary due to legitimate staffing, financial, regulatory and academic reasons.