AI, Ethics and Society - MA

Course overview

MA examining the ethical, social, legal and political dimensions of artificial intelligence and technology, with options across AI, data, law, media and society.

Course details

Degree level

Master's

Subject

NOT VERIFIED

Duration

1 year

Intake

January 2027

Tuition fee

£20,850 / yearUniversity fee information (opens in a new tab)

Initial deposit

£5,000

City

London

Country

England

Campus

Birkbeck Campus, Central London

Official course page

https://www.bbk.ac.uk/courses/postgraduate/ai-ethics-and-society

About this information

The details on this page have not yet been checked against the official course page by our team. Fees, intakes and requirements can change, so always confirm them on the official course page before you apply.

Open the official course page (opens in a new tab)

English Language Requirements

Main English Requirements

Alternative English Requirements

Only the tests listed here are shown as accepted for this course.

Entry requirements

For applicants from Pakistan

• Pakistan postgraduate equivalency (official Birkbeck country page): for a UK 2:2, four-year Bachelor's (Honours)/professional degree from an HEC-accredited institution with at least 55%/B-/GPA 2.7/4.0 or equivalent; alternatively the specified Master's routes may be accepted. Course-specific requirements apply.

General entry requirements

Standard postgraduate requirement: second-class honours degree (2:2), or equivalent, in any area of study.

Scholarships & discounts

Birkbeck International Excellence scholarship (January): £3,000 available to international students starting a postgraduate programme in January 2027; eligibility/conditions apply. Other international/faculty scholarships may also be available.

Pre-CAS interview

Required

Yes — a Pre-CAS / credibility interview is part of the process

Interview type

On CAS Shield

Stage

Before the CAS is issued

Format

Recorded interview

Course modules

• Core: The Ethics of Technology and Artificial Intelligence; The History and Foundations of AI. Indicative options include AI, Language and Social Justice; Algorithms and the Law; Analytic Tools for Data Science; Big Data Management; Critical and Creative AI; Data Visualization and Communication; Demystifying Computing with Python; GeoAI; Introduction to Analytics and Business; Managing Digital Media; Managing Emerging Digital Technologies; Philosophy of AI; Regulating Technology; dissertation.