Introduction to the Philosophy, Logic, and Artificial Intelligence MASc

The Philosophy, Logic, and Artificial Intelligence MASc is a new Master's course that examines the concept of reasoning and its philosophical foundations from the perspectives of Logic and Artificial Intelligence. This course is designed to stimulate advanced philosophical and critical thinking, alongside developing deep technical understanding.

Course Overview

This course is suitable for those with undergraduate degrees in other disciplines, but requires both logico-mathematical and philosophical aptitude. Students will graduate with a range of transferable skills, equipped for a range of jobs in the technological sector.

Study Mode and Duration

• The course is available in Full-time study mode.
• The duration of the course is 1 academic year.
• The course starts in September 2026.

Tuition Fees

• UK tuition fees (2026/27): Ł16,800
• Overseas tuition fees (2026/27): Ł35,400

Entry Requirements

• A minimum of an upper second-class UK Bachelor's degree (or an international qualification of an equivalent standard).
• Mathematics A level (or equivalent) at grade A or above.
• Evidence of suitable mathematical skills and computational thinking.

English Language Requirements

• The English language level for this course is Level 5.
• UCL Pre-Master's and Pre-sessional English courses are available for international students.

Equivalent Qualifications

Country-specific information can be obtained from the International Students website.

About this Degree

This course explores reasoning and its philosophical foundations from the perspective of logic and artificial intelligence. Logic is the area of inquiry that considers the idea of an argument whose reasoning is water-tight. The course will cover various logical formalisms, address philosophical and logical foundations for reasoning, and explore modern realisations of artificial intelligence.

Who this Course is For

The Philosophy, Logic, and Artificial Intelligence MASc is ideal for students who want to engage critically with the very foundations of reasoning, representation, learning, and intelligence.

What this Course will Give You

This course brings the study of Philosophy, Logic, and AI together into a single MASc. You will encounter various logical formalisms, address philosophical and logical foundations for reasoning, and explore modern realisations of artificial intelligence. You will leave the degree with both a foundational understanding and practical skills in the concepts and mechanisms of reasoning.

Career Prospects

As this course is new, graduate destination information is not yet available. However, graduates from this MASc will have exceptional skills and expertise, preparing them for a wide range of careers. Recent UCL Philosophy graduates have gone on to work for employers such as Google, the Houses of Parliament, the NHS, and A Cast.

Employability

Students will graduate with a range of extremely employable specific and transferable skills, including:

• Analytical and critical skills
• Abstract but applicable problem-solving skills, such as rigorous reasoning, programming, and the design of efficient processes, with an emphasis on understanding formal tools
• Knowledge of topics related to artificial intelligence, including machine learning and reasoning

Networking

As a student and later as a graduate, you will have access to a UCL Careers events programme, connecting you with employers and alumni. UCL also has a large number of clubs and societies, such as the AI Society, allowing you to connect with peers who share similar interests and career goals.

Teaching and Learning

This course is delivered through a combination of lectures, seminars, tutorials, and lab classes. Your self-directed learning is supported by online resources. You will be assessed through various methods, including coursework, projects, exams, and a summer research project/dissertation.

Modules

• Compulsory modules:
  • Formal Epistemology
  • Meaning and Interpretation
  • Philosophy of Learning
  • Dynamics of Social Change
  • Core Logic
  • Introduction to Machine Learning
• Optional modules:
  • Early Wittgenstein
  • Reasons and Normativity
  • Research Seminar: Philosophy of Mind
  • Research Seminar in Realism and Antirealism
  • Philosophy of Arithmetic and Incompleteness
  • Paradoxes
  • Intermediate Logic
  • Introductory Programming
  • Computer Architecture and Operating Systems
  • Algorithmics
  • Categories, Proofs, and Processes
  • Proof-theoretic Semantics
  • Artificial Intelligence and Neural Computing
  • Supervised Learning
  • Statistical Natural Language Processing
  • Reinforcement Learning
  • Multi-agent Artificial Intelligence
  • Machine Learning for Domain Specialists

Fees and Funding

• Fees for this course:
  • UK students: Ł16,800
  • International students: Ł35,400
• Additional costs:
  • A modern computer (PC or Mac) with minimum specifications of 8GB RAM and 500GB SSD storage with a camera and microphone
  • Expenses such as books, stationery, printing or photocopying
  • Travel costs for in-person teaching

Accessibility

The department will endeavour to make reasonable adjustments for students with disabilities, including those with long-term health conditions, neurodivergence, learning differences, and mental health conditions. Details of the accessibility of UCL buildings can be obtained from AccessAble. Further information about support available can be obtained from UCL Student Support and Wellbeing Services.

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Services

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