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Philosophy, Logic, and Artificial Intelligence MASc

London, Bloomsbury

This new Master's course examines the very idea of reasoning, and its philosophical foundations, from the perspectives of Logic and Artificial Intelligence. Students will study a rigorous selection of modules which will stimulate advanced philosophical and critical thinking, alongside developing deep technical understanding. Students will graduate with a range of transferable skills, equipped for a range of jobs in the technological sector. This course is suitable for those with undergraduate degrees in other disciplines, but requires both logico-mathematical and philosophical aptitude.

UK students International students
Study mode
Full-time
UK tuition fees (2026/27)
£16,800
Overseas tuition fees (2026/27)
£35,400
Duration
1 academic year
Programme starts
September 2026
Applications accepted
Applicants who require a visa: 20 Oct 2025 – 26 Jun 2026
Applications close at 5pm UK time

Applications open

Applicants who do not require a visa: 20 Oct 2025 – 28 Aug 2026
Applications close at 5pm UK time

Applications open

Apply for this course

Entry 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. (This can be satisfied with an undergraduate degree with suitable mathematical content.) Evidence should be included within the application to demonstrate suitable mathematical skills and computational thinking.

The English language level for this course is: Level 5

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Further information can be found on our English language requirements page.

Equivalent qualifications

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.

International applicants can find out the equivalent qualification for their country by selecting from the list below. Please note that the equivalency will correspond to the broad UK degree classification stated on this page (e.g. upper second-class). Where a specific overall percentage is required in the UK qualification, the international equivalency will be higher than that stated below. Please contact Graduate Admissions should you require further advice.

About this degree

Our new taught master's in Philosophy, Logic, and Artificial Intelligence explores reasoning and its philosophical foundations from the perspective of logic and artificial intelligence.

Logic is the area of inquiry which begins by considering the idea of an argument whose reasoning is water-tight. Since philosophy consists in giving and assessing arguments, logic has always been a core area of philosophy, for philosophers to both draw upon and also to study. 

To systematise the key ideas in logic, we need to shift into a more formal register, adopting the tools of mathematics and computer science. And those tools have also led to the creation of various techniques in artificial intelligence, providing us with a potential model of learning and non-water-tight reasoning. 

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. 


Students on the MASc course come from many different academic backgrounds. Some may have graduated with single-honours Philosophy; some with a joint-honours degree in Philosophy & Computer Science; some with a specialism in logic.

Read about what it takes to study for a Master's at UCL

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. To enable this, our course is built around a stable core of compulsory modules with a focus on philosophy, logic, AI, and their intersection.

Consequently, you will leave the degree with both a foundational understanding and practical skills in the concepts and mechanisms of reasoning. 

As a UCL student, you will further benefit from our central London location. London is a global philosophical hub, and is home to a number of renowned journals (Philosophy; MIND; Proceedings of the Aristotelian Society), and leading institutions (Institute of Philosophy, Royal Institute of Philosophy and the Aristotelian Society), which host visiting speakers from across the world every week of term. London’s Tech scene is vibrant and has regular networking events.

Read about what you'll get out of a graduate programme

The foundation of your career

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 (from other courses) have gone on to work for employers such as Google, the Houses of Parliament, the NHS and A Cast.*

*Graduate Outcomes Survey carried out by the Higher Education Statistics Agency (HESA), looking at the destinations of UK and EU graduates in the 2017-2023 cohorts.

Employability

Students will graduate with a range of extremely employable specific and transferable skills. This will position them well to work in interdisciplinary industrial positions or to undertake postgraduate research.

Specific skills - Graduates will understand topics related to artificial intelligence, including machine learning and reasoning. This sort of knowledge will equip them for a range of jobs in the technological sector, especially related to artificial intelligence.

Transferable skills - Graduates will have developed: (1) analytical and critical skills and (2) abstract but applicable problem-solving skills, such as rigorous reasoning, programming, and the design of efficient processes, with an emphasis on understanding formal tools.

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. This programme provides invaluable insight into the reality of different roles, sectors, and current application processes.

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.

London’s Tech Scene is vibrant and has regular networking events.

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.

Each module usually has a two-hour seminar each week and will require around eight hours of independent study per week. In Term 1 and Term 2, full-time students take four modules, meaning that they can expect to spend around eight hours in contact with staff every week, and complement these with around 32 hours of independent study.

In all Terms, you should expect to spend approximately 40 hours per week for contact hours and self-directed study. This includes Term 3, where the vast majority of these hours will be made up of self-directed study.

Modules

Students take eight taught modules and a research dissertation. The default path through the course consists of six compulsory modules:

  • Formal Epistemology
  • Meaning and Interpretation
  • Philosophy of Learning
  • Dynamics of Social Change
  • Core Logic 
  • Introduction to Machine Learning

Students then choose two further modules from an extensive list of optional modules, and write a substantial dissertation in Term 3 and over the Summer.

We recognise that some students applying to this course may have already studied some of the topics which are compulsory on the default path through the degree. Rather than repeating what you may have previously studied, we offer a number of alternative routes through the degree, which will allow you to take optional modules instead of some compulsory 15-credit modules. Here are the alternative routes:

  • Specialism 1. Suitable if you have already studied formal epistemology and meaning theory to a high level.
    On this specialism, you take four 15-credit compulsory modules: PHIL0196, PHIL0202, PHIL0210, and COMP0008. You then take four 15-credit optional modules.
  • Specialism 2. Suitable if you have already studied logic to a high level.
    On this specialism, you take five 15-credit compulsory modules: PHIL0078, PHIL0176, PHIL0196, PHIL0202, and COMP0008. You will also take three 15-credit optional modules.
  • Specialism 3. Suitable if you have already studied machine learning.
    On this specialism, you take five 15-credit compulsory modules: PHIL0078, PHIL0176, PHIL0196, PHIL0202, and PHIL0210. You will also take three 15-credit optional modules.
  • Specialism 4. Suitable only for students who have completed UCL's Philosophy & Computer Science BA.
    On this specialism, you take three 15-credit compulsory modules: PHIL0196, PHIL0202, PHIL0210. You will also take five 15-credit optional modules. 

Compulsory modules







Optional modules



Research Seminar: Philosophy of Mind

Research Seminar in Realism and Antirealism

Philosophy of Arithmetic and Incompleteness


Intermediate Logic





Proof-theoretic Semantics








Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability are subject to change. Modules that are in use for the current academic year are linked for further information. Where no link is present, further information is not yet available.

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. This list is not exhaustive. If you're unsure of your eligibility for reasonable adjustments at UCL, please contact Student Support and Wellbeing Services.

Reasonable adjustments are implemented on a case-by-case basis. With the student's consent, reasonable adjustments are considered by UCL Student Support and Wellbeing Services, and where required, in collaboration with the respective department.

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.

For more information about the department and accessibility arrangements for your course, please contact the department.

Fees and funding

Fees for this course

UK students International students
Fee description Full-time
Tuition fees (2026/27) £16,800
Tuition fees (2026/27) £35,400

Additional costs

For full-time and part-time offer holders with a fee status classification of UK, a fee deposit will be charged at 2.5% of the first year fee.

For full-time and part-time offer holders with a fee status classification of Overseas, a fee deposit will be charged at 10% of the first year fee.

Further information can be found in the Tuition fee deposits section on this page: Tuition fees.

Students will require a modern computer (PC or Mac) with minimum specifications of 8GB RAM and 500GB SSD storage with a camera and microphone. However, we recommend at least 16GB RAM and 0.5-1 TB SSD storage. A computer with these specifications is estimated to cost £500 or greater.

There may be other additional costs including expenses such as books, stationery, printing or photocopying. However, the departments strive to keep additional costs low. Books and journal articles are usually available via the UCL library (hard copies or via e-journal subscriptions). Students receive a free printing allowance each year and pay for any additional printing (see details).

For in-person teaching, UCL’s main teaching locations are in zones 1 (Bloomsbury) and zones 2/3 (UCL East). The cost of a monthly 18+ Oyster travel card for zones 1-2 is £119.90. This price was published by TfL in 2025. For more information on additional costs for prospective students and the cost of living in London, please view our estimated cost of essential expenditure at UCL's cost of living guide.

Funding your studies

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

See all the ways you can fund your studies

Next steps

Some students applying to this course may have already studied some of the topics which are compulsory on the default path through the degree. Rather than repeating what you may have previously studied, we offer four Specialisms (see above). If you wish to pursue one of these Specialisms, you should indicate this when you apply for the degree. The Course Co-Ordinator will assess supporting evidence (such as the transcript from your previous degree) of your suitability for this Specialism. 

Please note that you may submit applications for a maximum of two graduate courses (or one application for the Law LLM) in any application cycle.

Choose your programme

Please read the Application Guidance before proceeding with your application.

Year of entry: 2026-2027

Apply for this course

Got questions? Get in touch

Philosophy
Philosophy

philosophy@ucl.ac.uk

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