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Bachelor of Science (with Honours) - BSc (Hons)

Artificial Intelligence and Philosophy

King's College London

(3.9)
294 reviews

Entry requirements

Here's what you will need to get a place on the Artificial Intelligence and Philosophy course at King's College London.

Select a qualification to see required grades

A level

A,A,A

Must contain grade A in Mathematics or Further Mathematics. Please note that A-level General Studies, Critical Thinking, Thinking Skills and Global Perspectives are not accepted by King's as one of your A levels. Notes: If you are taking linear A-levels in England, you will be required to pass the practical endorsement in all Science subjects. This is with the exception of private candidates who are unable to take the practical component. We do not consider the EPQ at any point of the assessment process.

Tuition fees

LocationFees
England£9,535 per year
Scotland£9,535 per year
Wales£9,535 per year
Northern Ireland£9,535 per year
Channel Islands£9,535 per year

Course summary

What this course is about

UCAS code: G704

Here's what King's College London says about its Artificial Intelligence and Philosophy course.

Our new joint-honours degree combines Artificial Intelligence with philosophy’s study of the big questions. This unique degree is the first of its kind in the UK, and will equip you with technical and critical thinking skills that open doors to careers in tech, government, journalism, business, research and more.

Students on the Artificial Intelligence & Philosophy with a Year Abroad BSc will spend their third year studying abroad before returning to complete a final year with King’s. Students on the three year course may transfer to the four year Artificial Intelligence & Philosophy with a Year Abroad BSc.

Women in STEM Scholarship The Faculty funds a scholarship for female undergraduate applicants, as part of its commitment to increasing the representation of women in STEM (Science, Technology, Engineering and Mathematics). Find out more about eligibility and how to apply at the link in the sidebar.

Key benefits

  • Wide Range of modules: Extensive optional courses in contemporary and historical philosophy, as well as advanced topics in AI, enabling students to tailor their learning to their interests.

  • Strong Career Prospects: Graduates are highly sought after nationally and internationally across a range of professions, benefiting from interdisciplinary training and strong links with industry and public sector partners.

  • World-class research and teaching: Departments attract national and international funding, offer cutting-edge research projects, and feature particular strengths in AI, philosophy of mind, philosophy of science, political philosophy, and history of philosophy.

  • Particular teaching strengths in philosophy of mind, philosophy of science, political philosophy, and the history of philosophy. King’s offers an exceptionally wide range of optional courses in the history of philosophy and contemporary philosophy.

  • Prime central London location: Easy access to major libraries, leading societies (e.g., Royal Society, Aristotelian Society, Royal Institute of Philosophy), and proximity to global AI companies and cultural resources.

  • Small-Group, Supportive Learning Environment: Emphasis on small-group teaching fosters critical thinking, close interaction with faculty, and a friendly, supportive academic community.

Source: King's College London

Course details

Qualification

Bachelor of Science (with Honours) - BSc (Hons)

Department

Informatics

Location

Main Site | London

Duration

3 Years

Study mode

Full-time

Subjects

• Philosophy

• Artificial intelligence

Start date

29 September 2026

Application deadline

14 January 2026

King's College London reviews

(3.9)
Based on 294 reviews from King's College London's students and alumni
5 star
38%
4 star
31%
3 star
18%
2 star
10%
1 star
3%
All reviews

Showing 270 reviews

2nd year student

Five stars: Excellent

(5)

1 year ago

2nd year student

Five stars: Excellent

(5)

1 year ago

2nd year student

Very expensive to live in central london. rent and living expenses are the big issues for everyone.

(3)

1 year ago

2nd year student

Five stars: Excellent

(5)

1 year ago

2nd year student

Five stars: Excellent

(5)

1 year ago

2nd year student

very busy and tough course

(5)

1 year ago

National Student Survey (NSS) scores

The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.

The Artificial Intelligence and Philosophy course at King's College London features content from more than one subject area. Using the options below, you can see ratings from students who took courses in each of these subject areas at this uni

Artificial intelligence
Philosophy

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

68%

low

How good are teaching staff at explaining things?

78%

low

How often do teaching staff make the subject engaging?

51%

low

How often is the course intellectually stimulating?

72%

low

To what extent have you had the chance to bring together information and ideas from different topics?

68%

low

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

59%

low

How well has your course developed your knowledge and skills that you think you will need for your future?

65%

low

To what extent have you had the chance to explore ideas and concepts in depth?

72%

low

To what extent does your course have the right balance of directed and independent study?

48%

low

How well have assessments allowed you to demonstrate what you have learned?

68%

low

How fair has the marking and assessment been on your course?

52%

low

How often does feedback help you to improve your work?

49%

med

How often have you received assessment feedback on time?

38%

low

How clear were the marking criteria used to assess your work?

55%

low

How easy was it to contact teaching staff when you needed to?

62%

low

How well have teaching staff supported your learning?

82%

med

How well were any changes to teaching on your course communicated?

75%

low

How well organised is your course?

55%

low

How well have the IT resources and facilities supported your learning?

93%

med

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

88%

med

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

96%

high

How clear is it that students' feedback on the course is acted on?

39%

low

To what extent do you get the right opportunities to give feedback on your course?

82%

med

To what extent are students' opinions about the course valued by staff?

54%

low

How well does the students' union (association or guild) represent students' academic interests?

79%

med

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

82%

low

How well communicated was information about your university/college's mental wellbeing support services?

84%

med

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

83%

med

How good are teaching staff at explaining things?

93%

low

How often do teaching staff make the subject engaging?

87%

med

How often is the course intellectually stimulating?

93%

med

To what extent have you had the chance to bring together information and ideas from different topics?

79%

low

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

86%

med

How well has your course developed your knowledge and skills that you think you will need for your future?

81%

med

To what extent have you had the chance to explore ideas and concepts in depth?

88%

med

To what extent does your course have the right balance of directed and independent study?

71%

low

How well have assessments allowed you to demonstrate what you have learned?

72%

low

How fair has the marking and assessment been on your course?

80%

low

How often does feedback help you to improve your work?

71%

med

How often have you received assessment feedback on time?

65%

low

How clear were the marking criteria used to assess your work?

69%

med

How easy was it to contact teaching staff when you needed to?

89%

low

How well have teaching staff supported your learning?

93%

med

How well were any changes to teaching on your course communicated?

76%

low

How well organised is your course?

76%

med

How well have the IT resources and facilities supported your learning?

86%

med

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

93%

med

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

83%

low

How clear is it that students' feedback on the course is acted on?

56%

med

To what extent do you get the right opportunities to give feedback on your course?

91%

med

To what extent are students' opinions about the course valued by staff?

80%

med

How well does the students' union (association or guild) represent students' academic interests?

70%

med

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

88%

med

How well communicated was information about your university/college's mental wellbeing support services?

86%

high

Student information

The Artificial Intelligence and Philosophy course at King's College London features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.

Philosophy
Artificial intelligence
Mode of study
Full-time97%Part-time3%
Gender ratio
Female55%Male44%Other1%
Where students come from
International49%UK51%
Student performance
2:1 or above92%
Number of students625
Most popular A-levels studied
SubjectGrade
MathematicsA
EconomicsA
HistoryA
Government and PoliticsA
Religious StudiesA
Mode of study
Full-time98%Part-time2%
Gender ratio
Female33%Male66%Other1%
Where students come from
International58%UK42%
Student performance
2:1 or above81%
Number of students150
Most popular A-levels studied
SubjectGrade
MathematicsA
Computer ScienceA
PhysicsA
ChemistryA
Further MathematicsA
Source: HESA

Graduate prospects

What graduates do next

The Artificial Intelligence and Philosophy course includes content from more than one subject area. Choose an option below for information about King's College London graduates across each of those subject areas.

Computing
Philosophy

Graduate statistics

95%

In a job where degree was essential or beneficial

85%

In work, study or other activity

90%

Say it fits with future plans

50%

Are utilising studies

Top job areas

85%

Information Technology Professionals

5%

Business, Research and Administrative Professionals

Graduate statistics

80%

In a job where degree was essential or beneficial

95%

In work, study or other activity

75%

Say it fits with future plans

30%

Are utilising studies

Top job areas

15%

Business and public service associate professionals

10%

Business, Research and Administrative Professionals

10%

Finance Professionals

10%

Information Technology Professionals

Graduate statistics percentages are determined 15 months after a student graduates

Earnings after graduation

The Artificial Intelligence and Philosophy course includes content from more than one subject area. Choose an option below for King's College London graduate earnings across each of those subject areas.

Computing
Philosophy and religious studies

Earnings

£43.3k

First year after graduation

£52.2k

Third year after graduation

£70.1k

Fifth year after graduation

Earnings

£26.6k

First year after graduation

£30.3k

Third year after graduation

£38.7k

Fifth year after graduation

Shown here are the median earnings of graduates at one, three and five years after they completed a course related to Artificial Intelligence and Philosophy.

Source: LEO

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree

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