University of Cambridge
University of Cambridge

MPhil in Ethics of AI, Data and Algorithms

This MPhil at the University of Cambridge offers an unparalleled opportunity to delve into the critical ethical dimensions of AI, data, and algorithms. Leveraging Cambridge's world-renowned academic reputation and cutting-edge research facilities, students will engage with leading experts and contribute to shaping the future of responsible technology. The interdisciplinary nature of the program, coupled with access to Cambridge's extensive resources, ensures a robust and impactful learning experience.

science STEM Designated
schedule Duration

36 Months

school Level

Masters

location_on Location

United Kingdom

stars Credits

180

menu_book Syllabus & Modules

01

Foundations of AI and Data Science

Core Module

02

Ethical Theories and AI

Core Module

03

Algorithmic Bias and Fairness

Core Module

04

Data Privacy and Governance

Core Module

05

AI and Society: Policy and Regulation

Core Module

06

Human-Computer Interaction Ethics

Core Module

07

AI in Healthcare and Biomedicine

Core Module

08

Responsible AI Development and Deployment

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

90%
Employed
Other

Average Starting Salary

£45,000 - £70,000 (UK equivalent)

Core Focus & Roles

AI Ethics Specialist Responsible AI Strategist Data Policy Analyst Technology Ethicist AI Governance Consultant
Graduates will be highly sought after in roles that bridge technology and ethics across various sectors. Target industries include tech companies (Google, Microsoft, Meta), government bodies, regulatory agencies, non-profit organizations, research institutions, and consulting firms specializing in responsible technology. Opportunities exist in policy development, ethical AI auditing, responsible innovation, and impact assessment.

Entry Requirements

language

English & Others

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Accepts 15 Years Education

Yes

GMAT N/A
GRE N/A
SAT N/A
ACT N/A
IELTS 7
TOEFL 100
PTE N/A
Duolingo N/A
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MAX. Backlogs Allowed

4

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Application Fee

85

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Deposit Fee

Yes

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Document Submission Deadline

Fall:- Jan 14

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Application Deadline

Fall:- Jan 14

Apply for this Course open_in_new Official Course open_in_new
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Scholarship Deadline

Fall :- Jan 7

school

Academic

  • Min GPA 85
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