AI

A new intensive Master's degree exploring the techniques and applications of artificial intelligence.

Key information

Duration: 1 year full-time
Start date: September 2020
Location: South Kensington
ECTS: 90 credits
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Overview

Our new Master’s degree in Artificial Intelligence (AI) is aimed at mathematically-minded STEM graduates.

It delivers intensive training in programming and the fundamentals of artificial intelligence through a range of specialist modules.

As well as learning the technical skills required for this rapidly growing area of computing science, you have the chance to explore realistic applications through group and individual projects. The Department has contacts with major technology companies, perfect for opportunities within industry-initiated projects.

Choosing the right course for you

This degree is a specialised degree for non-computer scientists, with modules that are all focused on several areas of AI technologies and applications, to ensure you graduate with a focused body of knowledge in this area.

We also offer MSc Computing (Artificial Intelligence and Machine Learning) for students with a substantial background in computing and who wish to possibly explore other areas of computing alongside specialised options in artificial intelligence and machine learning.

Study programme

Your studies include core modules taken in the autumn term, a group project in the spring term, elective specialised modules in the autumn and spring terms and a substantial individual project in the summer term.

You have the choice of four modules from a large group of around 20 advanced specialist modules, taken across autumn and spring.

Careers

AI is a key growth area aiming, among other things, to automate the completion of highly complex tasks and increase productivity.

As a result, AI has broad application in a variety of industries and is already a growing part of many existing industries.

The specialist nature of this degree will provide you with the skills to meet the needs of the industries that are recognising the transformative potential of AI, from healthcare to manufacturing to the automotive industry (driverless cars).

Structure

Modules shown are for the current academic year and are subject to change depending on your year of entry.

Please note that the curriculum of this course is currently being reviewed as part of a College-wide process to introduce a standardised modular structure. As a result, the content and assessment structures of this course may change for your year of entry. We therefore recommend that you check this course page before finalising your application and after submitting it as we will aim to update this page as soon as any changes are ratified by the College.

Find out more about the limited circumstances in which we may need to make changes to or in relation to our courses, the type of changes we may make and how we will tell you about changes we have made.

Structure

Core modules

You take all of the core modules below.

  • Ethics, Privacy, AI in Society
  • Individual Project
  • Introduction to Machine Learning
  • Introduction to Symbolic Artificial Intelligence
  • Python Programming
  • Software Engineering Practice and Group Project

Optional modules (term 1)

You choose two or three optional modules per term, completing five optional modules in total.

  • Computer Vision
  • Dynamical Systems and Deep Learning
  • Machine Arguing
  • Maths for Machine Learning
  • Modal Logic
  • Optimisation
  • Reinforcement Learning
  • Robotics

Optional modules (term 2)

You choose two or three optional modules per term, completing five optional modules in total.

  • Advanced Robotics
  • Advanced Statistical Machine Learning and Pattern Recognition
  • Deep Learning
  • Knowledge Representation
  • Logic-Based Learning
  • Probabilistic Inference
  • Systems Verification

Teaching and assessment

Teaching methods

  • Group project
  • Individual project
  • Laboratory
  • Lectures
  • Seminars
  • Tutorials

Assessment methods

  • Coursework
  • Laboratory exercises
  • Laboratory-based examinations
  • Paper-based examinations

Entry requirements

We welcome students from all over the world and consider all applicants on an individual basis.

Entry requirements

Minimum academic requirement

Our minimum requirement is a first-class degree in mathematics, physics, engineering or other degree with substantial mathematics content.

International qualifications

We also accept a wide variety of international qualifications.

The academic requirement above is for applicants who hold or who are working towards a UK qualification.

For guidance see our Country Index though please note that the standards listed here are the minimum for entry to the College, and not specifically this Department.

If you have any questions about admissions and the standard required for the qualification you hold or are currently studying then please contact the relevant admissions team.

English language requirement (all applicants)

All candidates must demonstrate a minimum level of English language proficiency for admission to the College.

For admission to this course, you must achieve the higher College requirement in the appropriate English language qualification. For details of the minimum grades required to achieve this requirement, please see the English language requirements for postgraduate applicants.

How to apply

How to apply

Making an application

All applicants must apply online.

For full details on the online application process, please visit the admissions website.

You can submit one application form per year of entry. You can usually choose up to two courses.

ATAS certificate (overseas candidates)

An ATAS certificate is not required for overseas students applying for this course.

Tuition fees and funding

The level of tuition fees you pay is based on your fee status, which we assess based on UK government legislation.

For more information on the funding opportunities that are available, please visit our Fees and Funding website.

Tuition fees

Tuition fees (Home and EU students)

2020 entry
£15,500 per year

Fees are charged by year of entry to the College and not year of study.

Except where otherwise indicated, the fees for students on courses lasting more than one year will increase annually by an amount linked to inflation, including for part-time students on modular programmes. The measure of inflation used will be the Retail Price Index (RPI) value in the April of the calendar year in which the academic session starts e.g. the RPI value in April 2020 will apply to fees for the academic year 2020–2021.

Tuition fees (Overseas and Islands students)

2020 entry
£33,250 per year

Fees are charged by year of entry to the College and not year of study.

Except where otherwise indicated, the fees for students on courses lasting more than one year will increase annually by an amount linked to inflation, including for part-time students on modular programmes. The measure of inflation used will be the Retail Price Index (RPI) value in the April of the calendar year in which the academic session starts e.g. the RPI value in April 2020 will apply to fees for the academic year 2020–2021.

Additional course costs

All of the necessary specialist software required for this degree is provided for free, as part of your tuition fees.

Postgraduate Master's loan

If you are a Home or EU student who meets certain criteria, you may be able to apply for a Postgraduate Master’s Loan from the UK government.

For 2019-20 entry, the maximum amount was of £10,906. The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.

Scholarships

We offer a range of scholarships for postgraduate students to support you through your studies. Try our scholarships search tool to see what you might be eligible for.

There are a number of external organisations also offer awards for Imperial students, find out more about non-Imperial scholarships.

Accommodation and living costs

Living costs, including accommodation, are not included in your tuition fees.

You can compare costs across our different accommodation options on our Accommodation website.

A rough guide to what you might expect to spend to live in reasonable comfort in London is available on our Fees and Funding website.

Further information

Computing

Got a question?

T: +44 (0) 20 7594 8298
E: doc-mscadmissions@imperial.ac.uk

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