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Course summary

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. Our Artificial Intelligence with Year in Industry BSc 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. Finding an industry placement will require students to be resourceful and engaged. Our Global Placements team will support you throughout your course with advice and activities to help you discover your options, focus your placement search and take action to achieve the right placement for you. Your placement is required to be a technical role which complements your studies, but you will have a great deal of freedom in what you choose to do. This depends on you reaching a certain grade average and obtaining a suitable placement opportunity.


How to apply

Application codes

Course code:
G702
Institution code:
K60
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

Required subjects: A-level (or equivalent) grade A in Mathematics or Further Mathematics. Preferred subjects: Computing, Computer Science.


English language requirements

TestGradeAdditional details
IELTS (Academic)7.0 overall with a minimum of 6.5 in each skill
PTE Academic69 overall with a minimum of 62 in each skill
TOEFL (iBT)100 overall with a minimum of 25 in writing and 23 in each of the other skills
Cambridge English Advanced185 overall with a minimum of 176 in each skill
Cambridge English Proficiency185 overall with a minimum of 176 in each skill
Trinity ISELevel III (ISEIII) with merit in each skill
Institution's Own TestPass the King's Pre-Sessional English Language Programme with Band 7

We also accept a number of English language tests taken as part of school-level qualifications. For more details, please see our website. Please note that the course requirements are under Band B.

Band B

https://www.kcl.ac.uk/study/undergraduate/how-to-apply/english-language-requirements


Unistats information

Operated by the Office for Students
No data
Student satisfaction
80%
Employment after 15 months (Most common jobs)
93%
Go onto work and study

The student satisfaction data is from students surveyed during the Covid-19 pandemic. The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

England £9250 Year 1
Northern Ireland £9250 Year 1
Scotland £9250 Year 1
Wales £9250 Year 1
Channel Islands £9250 Year 1

Additional fee information

For International fees and information, please see the course details on our online prospectus: https://www.kcl.ac.uk/study/undergraduate The fees stated are for entry in the forthcoming September. If you are applying for deferred entry, to commence the following September, fees may be subject to change. All International applicants to Undergraduate programmes are required to pay a deposit of £2,000 against their first year’s tuition fee. This deposit is payable when you firmly accept an unconditional offer to study with us, and will be offset against your tuition fees when you join King’s.
Artificial Intelligence with a year in Industry at King's College London, University of London - UCAS