Artificial Intelligence
King's College London, University of London
UCAS Code: G703 | Master of Science - MSci
Entry requirements
A level
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. Must contain Mathematics or Further Mathematics.
Access to HE Diploma
The Access to Higher Education Diploma must be in a relevant subject - Computing, Mathematics, Science, or similar - and must include at least 15 Level 3 credits in Mathematics awarded at Distinction.
Cambridge International Pre-U Certificate - Principal
Please note that Global Perspectives is not accepted by King’s as one of your Pre-U Principal subjects. Combinations of Pre-U principal subjects and other qualifications (such as A-levels) will be considered. Must contain Mathematics or Further Mathematics.
International Baccalaureate Diploma Programme
Including 7,7,6 at Higher Level. The total point score of 35 includes TOK/EE. Must include HL6 in Mathematics or Further Mathematics. Note: IB students studying the new Maths curriculum would be required to study either Analysis and Approaches or Applications and Interpretation at Higher Level to meet the subject requirement for this programme
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
Must contain Mathematics or Further Mathematics.
Please see our online prospectus for further details on our BTEC entry requirements.
Scottish Advanced Higher
Must be combined with three Scottish Highers. We do not count the Higher and Advanced Higher in the same subject. Must include Advanced Higher in Mathematics.
Scottish Higher
Must be a combination of three Scottish Highers and two Scottish Advanced Highers. We do not count the Higher and Advanced Higher in the same subject.
UCAS Tariff
We've calculated how many Ucas points you'll need for this course.
About this course
AI significantly affects people’s lives, and it is encountered in more and more of our daily activities. These include activities such as using smart devices, digital voice assistants, and travel aids, as well as banking online or receiving personalised recommendations about movies to rent. Meanwhile, AI is increasingly reliant on leveraging the widespread availability of (often very large) datasets that encode relationships between data inputs to decision making processes, and the outcome of these processes, so that AI applications can enhance human decision making in a wide variety of everyday tasks (e.g. recommender systems) and specialised tasks (e.g. deciding on legal litigation risks, decisions in business/logistics planning, or decisions based on interpretation of visual data such as diagnostic scans in medicine), as well as AI applications that autonomously make and implement decisions (e.g. robots that need to sense their environment and plan actions). These applications require expertise in a broad range of Artificial Intelligence areas.
The MSci in Artificial Intelligence will allow you to understand the underlying principles of these areas, including:
- Foundations of AI (e.g. programming, discrete mathematics, algorithm design)
- Data Science and Machine Learning (e.g. natural language processing, human-AI interaction)
- Knowledge Representation, Reasoning, and Interactions (e.g. data visualisation, knowledge engineering, formal verification)
- Optimisation, Planning and Autonomous Agents (e.g. autonomous robot programming, logic, network optimisation)
- Ethics and philosophy of AI (e.g., legal, social, ethical and professional issues in AI and in robotics system development, philosophical work on the impact and on dangers of AI)
- AI Engineering (e.g. internet and web systems, cloud-based services, AI security and privacy)
It will also provide you with the background knowledge and skills required to become a successful AI professional able to work in a range of exciting roles ranging from big data engineer to robotics engineer.
Tuition fees
Select where you currently live to see what you'll pay:
The Uni
King's College London, University of London
Informatics
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.
Artificial intelligence
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Artificial intelligence
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Artificial intelligence is a very specialist subject taken by less than 100 people a year at the moment, so there is little reliable information available on graduate prospects - bear that in mind when you review the stats above. Graduates taking this type of subject are more likely than other computing graduates to go into further research. However, if you want to find out more specifically about the potential graduate outcomes of a specific course, it's a good idea to go on open days and talk to tutors about what previous graduates have gone on to do.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Artificial intelligence
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£35k
£47k
£55k
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.
Explore these similar courses...
Lower entry requirements
Higher entry requirements
Nearby UniversitySame UniversityThis is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.
Have a question about this info? Learn more here
This is the percentage of applicants to this course who received an offer last year, through Ucas.
Have a question about this info? Learn more here
This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.
Have a question about this info? Learn more here
Course location and department:
This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.
Have a question about this info? Learn more here
Teaching Excellence Framework (TEF):
We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.
Have a question about this info? Learn more here
This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).
This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.
Have a question about this info? Learn more here
This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.
You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.
Have a question about this info? Learn more here
Post-six month graduation stats:
This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.
It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
Have a question about this info? Learn more here
Graduate field commentary:
The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show
Have a question about this info? Learn more here
The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
Have a question about this info? Learn more here
