MASc Philosophy, Logic, and Artificial Intelligence

1 Year On Campus Masters Program

University College London

Program Overview

This programme explores the philosophical foundations, logical structures and conceptual issues underpinning artificial intelligence. It suits students interested in philosophy, logic, cognition or theoretical aspects of AI rather than programming or engineering.

Curriculum Structure:
Students begin with core modules such as Philosophy of Artificial Intelligence and Logic and Machine Reasoning, examining concepts like intelligence, explanation, reasoning and the nature of computation. They then select from options such as Philosophy of Mind, Ethics in AI, or Formal Logic, allowing them to analyse AI in relation to consciousness, moral responsibility and rational inference. The degree concludes with a substantial Research Dissertation, where students pursue a philosophical or logic-based investigation of an AI-related problem.

Focus areas: “Philosophy of AI, Logic, Reasoning, Ethics of AI, Philosophy of Mind”

Learning outcomes: “Critically analyse conceptual issues in AI; apply formal logic to reasoning systems; evaluate ethical and societal implications; conduct independent philosophical research.”

Professional alignment (accreditation): Aligns with roles in policy, ethics, technology governance, research, and further academic study in philosophy or AI theory.

Reputation (employability rankings): UCL is consistently ranked among the top global universities, with strong recognition in philosophy, cognitive science and AI-related research, supporting excellent graduate prospects.

Experiential Learning (Research, Projects, Internships etc.)

Students develop practical skills through interdisciplinary research at the intersection of philosophy, computer science, and cognitive science, using UCL's specialised research facilities and computational resources. This research-focused training is central to the programme:

Research Environment: Access to UCL's Centre for Logic, Language and Computation (CLLC) and Institute of Cognitive Neuroscience.
Computational Tools: Training in formal logic systems and computational modelling.
Interdisciplinary Seminars: Participation in research seminars across Philosophy, Computer Science, and Psychology departments.
Research Project: A substantial MRes dissertation supervised by experts from multiple disciplines.
Technical Skills: Optional training in programming languages and AI fundamentals.

Progression & Future Opportunities

Graduates of UCL's MASc Philosophy, Logic, and Artificial Intelligence master reasoning foundations, logical formalisms, machine learning, and philosophical analysis of AI to critically assess intelligence, representation, and decision-making systems. Rigorous modules blending philosophy, proof theory, and practical ML skills via dissertation projects equip alumni for technology ethics and research amid AI's rapid evolution. Typical job roles: AI ethics consultant, technology policy advisor, logic researcher, AI governance specialist.

University services: Careers service provides CV reviews, interview coaching, and tech sector networking events.
Employment stats/salary: High employability in tech/policy; UCL graduates average £40,000+ starting salaries.
University–industry partnerships: Collaborations with AI research institutes; guest seminars from industry experts.
Long-term accreditation value: UCL's global research leadership ensures skills for evolving AI ethics/governance.
Graduation outcomes: Roles in tech firms, government policy, consulting, and academia worldwide.

Further Academic Progression: Pursue PhD in philosophy/logic/AI at UCL, extending dissertation on reasoning foundations

Additional Information & Requirements

A minimum of an upper second-class UK Bachelor's degree (or a international qualification of an equivalent standard.) Further specification: Mathematics A level (or equivalent) at grade A or above.

India A Bachelor's degree with a minimum overall CGPA of 7.5/10, 6.0/8.0, 5.5/7.0, 4.0/6.0, 3.0/4.0 or 60% where a GPA scale is not used. The overall mark required is dependent on the ranking of the institution at which the degree has been taken

USA- Bachelor's degree with a final CGPA of 3.3/4.0

IELTS- Overall score of 8.0 and a minimum of 8.0 in each component

TOEFL- Overall score of 110 with 29/30 in reading and writing and 23/30 in speaking and listening.

Book Free Session with Our Admission Experts

Embark on your educational journey with confidence! Our team of admission experts is here to guide you through the process. Book a free session now to receive personalized advice, assistance with applications, and insights into your dream school. Whether you're applying to college, graduate school, or specialized programs, we're here to help you succeed.