University of Cambridge

UK
42 Scholarships 103 Programs 4 Degree levels
Masters

Ethics of AI, Data and Algorithms

DegreeMasters
FieldMSc Ethics of AI
Duration9 months
Tuition41737.00

Overview

This programme develops your ability to analyse the ethical, social, and governance implications of AI, data, and algorithms. You will combine interdisciplinary foundations with research-led learning under expert supervision.

About this programme

Overview

The Ethics of AI, Data and Algorithms programme at the University of Cambridge equips students with the skills needed to critically assess the ethical, social, and governance implications associated with artificial intelligence, data, and algorithms. This interdisciplinary programme combines foundational knowledge with research-led learning, guided by experts in the field.

What you'll study

Core components include:

  • History, philosophy, and theory of AI, data, and algorithms
  • Digital technologies, providing a foundation for understanding how systems operate
  • Ethical challenges posed by AI, data, and algorithms
  • Analytic tools for evaluating ethical and societal impacts
  • Research focused on the nature, impacts, and governance of AI

Research element: Students will engage in a specialized research component, working closely with subject experts to deepen their understanding and contribute to the field.

Entry requirements

  • Minimum: a good upper second class (2:1) honours degree from a UK university, or an equivalent standard from an overseas institution.
  • Applicants should have achieved a UK High II.i honours degree (or equivalent).
  • Applicants should have completed, or be currently on a break from, any training or educational course.

Career prospects

Graduates of this programme will be well-equipped for a variety of roles in sectors that require a deep understanding of AI, data ethics, and algorithmic governance. Potential career paths include positions in policy-making, technology consultancy, ethical auditing, and roles within academia or research institutions.

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Programme details are indicative and may change — always verify current information with the official university website before applying.