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Artificial Intelligence MSc

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The Artificial Intelligence MSc degree is designed to give graduates the understanding, practical knowledge and expertise to evaluate, design and build intelligent systems using an extensive range of tools and techniques.

The course information sheet is a printable version of the information on this web page, which you can download here.


  • Located in central London, giving access to major libraries and leading scientific societies including the Chartered Institute for IT (BCS), and the Institution of Engineering and Technology (IET).
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in computer science and related fields.

Key information

Application status Closed

Duration One year FT, September to September.

Study mode Full-time

Credit value UK 180/ECTS 90

Course intake Approximately 25 FT.

Course leaders Dr. Mike Spratling

Further details

Course contact for further information

Postgraduate Admissions Team, Admissions Office tel: +44 (0) 20 7848 7000 fax: +44 (0) 20 7848 7200

Course contact form Postgraduate admissions

Awarding institution King's College London

Faculty Faculty of Natural & Mathematical Sciences

Department Department of Informatics

Locations

 

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Course detail

Description

The Artificial Intelligence MSc will prepare you for work developing intelligent software systems. You can choose to study a wide-range of topics such as: Agents & Multi-Agent Systems, Pattern Recognition, Neural Networks and Deep Learning, Artificial Intelligence Planning, Nature-Inspired Learning Algorithms, Philosophy & Ethics of Artificial Intelligence, and Data Mining. There is also the opportunity to explore a range of optional modules allowing you the freedom to develop your study pathway to reflect your interests. There are also opportunities to explore a broad range of optional modules allowing you the freedom to develop your study pathway to reflect your interests.

You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from an individual project

Further literature

https://www.kcl.ac.uk/study/postgraduate/apply/enquiry-form.aspx

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the course. You will also be expected to undertake a significant amount of independent study.

You are expected to spend approximately 10 hours work per credit for each module you attend in your degree, e.g. 150 hours work for a 15 credit module. These hours cover every aspect of the module.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The individual project will be assessed through a 15,000 word report.

Structure

Year 1

Courses are divided into modules. You will normally take modules totalling 180 credits.

Required Modules

You are required to take:

  • Individual Project (60 credits)

 

Optional Modules

You are required to take 120 credits from a range   of modules, which may typically include:

  • Agents & Multi-Agent Systems (15 credits)*
  • Nature-Inspired Learning Algorithms.
  • Pattern Recognition, Neural Networks and Deep Learning (15 credits)*
  • Philosophy & Ethics of Artificial Intelligence (15 credits)
  • Artificial Intelligence Planning (15 credits)
  • Data Mining (15 credits)
  • Computer Vision (15 credits)
  • Distributed Ledgers & Crypto-Currencies (15 credits)

 

You will be able to select up to 30 credits from a range of level 6 modules, which may typically include:

  • Optimisation Methods (15 credits) *
  • Formal Verification (15 credits) *
  • Human- Computer Interaction (15 credits) *
  • Computational Models (15 credits) *
  • Artificial Intelligence *
  • Machine Learning *

* These modules are not available if you have previously studied in the Department of Informatics and have already taken this module at Level 6.

King’s College London reviews the modules offered on a regular basis to provide up-to-date, innovative and relevant programmes of study. Therefore, modules offered may change. We suggest that you keep an eye on the course finder on our website for updates.

Entry requirements & how to apply

Artificial Intelligence entry requirements
Minimum requirements 2:1

BSc or BEng with 2:1 honours in Engineering or other relevant subject e.g. physics, mathematics, computer science.

In order to meet the academic entry requirements for this programme you should have a minimum 2:1 undergraduate degree with a final mark of at least 60% or above in the UK marking scheme. If you are still studying you should be achieving an average of at least 60% or above in the UK marking scheme.

We also welcome professional or occupational qualifications and assess them on an individual basis.
International requirements   Visit our admissions webpages to view our International entry requirements.
English Language requirements Band D Visit our admissions webpages to view our English language entry requirements.
Additional Requirements  

Applicants should also have :

  • a sound background in basic mathematics, in particular familiarity with standard concepts of calculus, linear algebra, differential equations and elementary probability theory.

  • competence in computer programming to the level expected at the end of the first year of a BSc honours degree in computer science.

 

Application procedure

Applications must be made online using King’s online application portal apply.kcl.ac.uk and a non-refundable application fee of £60 applies.

Your application will be reviewed by an academic tutor and we aim to respond to applications within four to six weeks, although this may take longer during busy and holiday periods.

 

Personal statement and supporting information

You will be asked to submit the following documents in order for your application to be considered:

Artificial Intelligence Checklist
Personal Statement  Yes A personal statement of up to 4,000 characters (maximum 2 pages) is required, explaining why you wish to apply for this programme and why you feel it matches your interests, academic background, and, if relevant, your career plans.
Previous Academic Study Yes A copy (or copies) of your official academic transcript(s), showing the subjects studied and marks obtained. If you have already completed your degree, copies of your official degree certificate will also be required. Applicants with academic documents issued in a language other than English, will need to submit both the original and official translation of their documents.
References Yes Two references are required with at least one academic. Professional references will be accepted if you have completed your qualifications over five years ago.
Other Optional Applicants may wish to include a CV (Resume) or evidence of professional registration as part of their application

 

Application closing date

We recommend that you submit your application as soon as possible.  Our first application deadline is the 29 March 2019.  Applications will remain open if places are available and programmes will be closed as soon as they are full. 

Help and support

If you don't have a suitable qualification for direct entry to a UK university, or if English isn't your first language, our academic preparation courses can help you get ready for study in the UK.

Preparation courses

Fees and funding

  • Full time Home/EU fees: £9,900 per year (2019/20)
  • Full time overseas fees: £23,940 per year (2019/20)
  • Part time Home/EU fees: N/A
  • Part time overseas fees: N/A

Students starting their programme in 2019/20 who are eligible to pay EU fees will pay the same rate of tuition fees as UK students. This will apply for the duration of their programme, but may be subject to change by the UK Government for subsequent cohorts from 2020/21.

These tuition fees may be subject to additional increases in subsequent years of study, in line with King’s terms and conditions.

Deposit

When you receive an offer for this course you will be required to pay a non-refundable deposit to secure your place. The deposit will be credited towards your total fee payment.

The UK/EU deposit is £500.

The INTERNATIONAL deposit is £2,000. 

  • If you receive an offer on or before 31st March 2019, payment is due by 27th April 2019.
  • If you receive an offer between 1st April 2019 and 30th June 2019, payment is due within one month of receiving the offer.
  • If you receive an offer between 1st July 2019 and 31st July 2019, payment is due within two weeks of receiving the offer.
  • If you receive an offer on or after 1st August 2019, payment is due within one week of receiving the offer.

If you are a current King’s student in receipt of the King's Living Bursary you are not required to pay a deposit to secure your place on the programme. Please note, this will not change the total fees payable for your chosen programme.

Additional costs/expenses

In addition to your tuition fees, you can also expect to pay for: 

  • Books if you choose to buy your own copies 
  • Clothing for optional course related events and competitions 
  • Course packs, which are a vital part of your learning at King's and normally contain extracts from books and other useful documents that will inform your study.
  • Library fees and fines 
  • Personal photocopies 
  • Printing course handouts 
  • Society membership fees 
  • Stationery 
  • Travel costs for travel around London and between campuses 
  • Graduation costs

Please visit our web pages on fees and funding for more information.

Financial help and support

Visit the fees and funding webpages to find out more about bursaries, scholarships, grants, tuition fees, living expenses, student loans and other financial help available at King's.

Career prospects

Our graduates have continued on to pursue successful careers in industry, commerce and academia.

Testimonials

Michael Spratling

Michael Spratling

"The MSc in Intelligent Systems exposes students to a wide range of other methodologies.The broad coverage of the programme offered by King's equips graduates with a more comprehensive set of methods for solving complex problems, for developing systems with artificial intelligence, and for studying biological intelligence."

Next steps

Upcoming events

Jun 22 Undergraduate Open Day | Arts and Sciences | Strand Campus | Saturday 22 June
Jul 6 Undergraduate Open Day | Health and Life Sciences | Guy’s Campus | Saturday 6 July
Sep 7 Undergraduate Open Day | Arts and Sciences | Strand Campus | Saturday 7 September

Full list of student events

View our postgraduate guide

Learn more about postgraduate degree programmes at King's. Download or view our guide in PDF format.

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