![Computing students working together](https://pxl-imperialacuk.terminalfour.net/prod01/channel_2/media/study---restricted-images/course-pages/postgraduate/computing/Computing-(Artificial-Intelligence-and-Machine-Learning).jpg)
Computing (Artificial Intelligence and Machine Learning)
Deepen your knowledge and understanding of artificial intelligence and machine learning to prepare for a career in the computing industry.
Deepen your knowledge and understanding of artificial intelligence and machine learning to prepare for a career in the computing industry
Build your project management and communication skills through group tasks and an individual project
Course key facts
-
Qualification
-
MSc
-
-
Duration
1 year
-
Start date
September 2024
-
Study mode
Full-time
-
Fees
£22,250 Home
£41,750 Overseas
-
Delivered by
-
Location
-
South Kensington
-
Minimum entry standard
-
First class Honours in a subject with a substantial computing component
Course overview
Enhance your understanding of artificial intelligence and knowledge of engineering on this Master's course, aimed at students looking to specialise in this growing area.
This course will develop your expertise in AI, ensuring you understand the state-of-the-art and can apply techniques to solve problems and develop applications.
You'll also explore emerging trends and acquire practical programming skills in suitable languages such as Prolog, Matlab or Python.
We also offer the following MSc Computing specialisms for those looking to advance their knowledge of other areas of computing:
- Artificial Intelligence and Machine Learning (this course)
- Management and Finance
- Security and Reliability
- Software Engineering
- Visual Computing and Robotics
Structure
This page is updated regularly to reflect the latest version of the curriculum. However, this information is subject to change.
Find out more about potential course changes.
Please note: it may not always be possible to take specific combinations of modules due to timetabling conflicts. For confirmation, please check with the relevant department.
You’ll take all of these core modules.
Core modules
Demonstrate independence and originality on an individual project, specialising in AI and ML, and put into practice some of the techniques you have learned throughout the course.
Learn how to design and implement modern statistical machine learning methodologies, as well as inference mechanisms.
In addition to your core modules, you’ll choose between five and eight modules from Group 1 and up to three modules from Group 2.
Group 1
Gain an in-depth understanding of the state-of-the-art of logic-based learning, starting from its key foundation concepts and principles before moving to more recent advances.
Develop a deeper understanding of optimal decision making models, algorithms and applications to engineering, finance, and machine learning.
Explore the fundamental concepts and advanced methodologies of deep learning and relate them to real-world problems.
Develop your knowledge of machine learning further by relating back to real-world problems in computer vision and medical image analysis.
Acquire the techniques and tools needed to devise and develop natural language processing (NLP) components and applications.
Examine how probability can be used to make decisions by a computer and advance your understanding of inference networks and linear and non-linear methods in statistical pattern recognition.
Learn how to describe the core principles of autonomous systems learning and calculate mathematical solutions to problems using reinforcement learning theory.
Discover why knowledge, representation and reasoning are essential components of an intelligent system and are at the core of artificial intelligence research.
Develop intellectual and practical skills in the use of modal logics for knowledge representation and automated reasoning in artificial intelligence.
Become familiar with Prolog and develop the knowledge and skills required to write small Prolog applications with an artificial intelligence dimension.
Gain insights into the different types of problems that exist in machine learning and the basic algorithms used to address them.
Explore how images are formed, how they are represented on computers and how they can be processed by computers to extract semantic information.
Engage with the emerging field of robot learning and discover how robots can acquire skills and control their bodies using machine learning techniques.
Understand the rationale behind the theoretical end of computational neuroscience and basic principles of the tools needed to simulate the brain's intelligent behaviour in this interdisciplinary module.
Gain a flavour of different aspects of the broad and ever-expanding field of graph theory and learning, including conventional graph data analysis methods and the nascent field of graph neural networks.
Explore the intersection of robotics and human-computer interaction, covering user-centric and user study design, data analysis, and relevant theoretical foundations, in this exciting new field.
Learn elementary tools, methods and results relating to fundamental questions in the theory and practice computing.
Delve into the deep connections between information theory, statistics and machine learning, in this module linking computing, statistics and geometry. Includes mathematical and computational exercises, and provides crucial theoretical background for a career in data science or machine learning.
Implement and operate a simplified machine learning-based system in this module covering engineering concepts underpinning trustworthy systems. Looks at all aspects of systems, including data ingestion, user experience, regulation and wider society.
Group 2
Assess the exciting field of mobile robotics, at a time when cutting-edge robots are beginning to leave the research laboratory to tackle real-world tasks.
Develop a thorough understanding of high-performance and energy-efficient computer architecture as a basis for informed software performance engineering.
Understand basic concepts of computer graphics; and familiarise yourself with the mathematical principles used for computer generated imagery, shading and light approximations.
Examine the approaches that enable the rapid and systematic design of custom computers and learn how to analyse the performance of a custom computer.
Unpick the key concepts, problems and results in distributed algorithms and gain practical experience of programming them.
Study network and web security broadly from the network to the application layer and understand the main threats, attack techniques and defences relevant to cybersecurity and network security.
Analyse how performance engineering ensures computer systems are responsive, scalable, and efficient and explore the fundamental principles and techniques used to achieve these goals.
Assess modern techniques in realistic computer graphics and image synthesis, particularly image-based techniques for photorealism.
Deepen your knowledge of the themes and challenges of host-level native, web, and mobile security and privacy.
Discover how to describe the complexity classes associated with computational problems, and how to fit a particular problem into a class of related problems.
Understand the basic concepts of quantitative finance and financial engineering and build awareness of the major decision, hedging, and pricing problems in finance.
Discover how cryptographic techniques can be used to design and implement secure communicating systems for a variety of different needs and applications.
Analyse the foundational principles behind decentralised ledgers and apply them to current research in cryptocurrencies.
Become familiar with the concepts and techniques underlying privacy-enhancing technologies across a variety of areas.
Learn how to design program analyses for classical and probabilistic programs and how to solve the resulting equations and constraints.
Discover the basic notions of quantum computing and be introduced to Quantum Bits, Quantum Entanglement and Quantum Algorithms.
Advance your knowledge of the concepts that enable the design and implementation of scalable distributed systems.
Use separation logic to reason compositionally about sequential and concurrent heap-manipulating programs.
Assess techniques and tools for improving the reliability of software systems and discuss their respective strengths and weaknesses.
Study an advanced computer science topic of your choice and plan, write and present a scientific report.
Assess the best decision algorithms for solving real-life problems arising in computer science, computational management and economics.
Teaching and assessment
Teaching and learning methods
-
Lectures
-
Tutorials
-
Practical work
-
Laboratory
-
Group work
-
Research project
Assessment methods
-
Written exams
-
Coursework
-
Lab work
-
Presentations and demonstrations
-
Technical report
-
Dissertation
Entry requirements
How to apply
Apply online
You can submit one application form per year of entry. You can choose up to two courses.
There is no application fee for MRes courses, Postgraduate Certificates, Postgraduate Diplomas, or courses such as PhDs and EngDs.
If you are applying for a taught Master’s course, you will need to pay an application fee before submitting your application.
The fee applies per application and not per course.
- £80 for all taught Master's applications, excluding those to the Imperial College Business School.
- £100 for all MSc applications to the Imperial College Business School.
- £150 for all MBA applications to the Imperial College Business School.
If you are facing financial hardship and are unable to pay the application fee, we encourage you to apply for our application fee waiver.
Find out more about how to apply for a Master's course, including references and personal statements.
An ATAS certificate is not required for students applying for this course.
Tuition fees
Home fee
2024 entry
£22,250
You should expect and budget for your fees to increase each year.
Your fee is based on the year you enter the College, not your year of study. This means that if you repeat a year or resume your studies after an interruption, your fees will only increase by the amount linked to inflation.
Find out more about our tuition fees payment terms, including how inflationary increases are applied to your tuition fees in subsequent years of study.
Whether you pay the Home or Overseas fee depends on your fee status. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status. Find out how we assess your fee status.
If you're a UK national, or EU national with settled or pre-settled status under the EU Settlement Scheme, you may be able to apply for a Postgraduate Master’s Loan from the UK government, if you meet certain criteria.
The government has not yet published the loan amount for students starting courses in Autumn 2024. As a guide, the maximum value of the loan was £12,167 for courses starting on or after 1 August 2023.
The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
Overseas fee
2024 entry
£41,750
You should expect and budget for your fees to increase each year.
Your fee is based on the year you enter the College, not your year of study. This means that if you repeat a year or resume your studies after an interruption, your fees will only increase by the amount linked to inflation.
Find out more about our tuition fees payment terms, including how inflationary increases are applied to your tuition fees in subsequent years of study.
Whether you pay the Home or Overseas fee depends on your fee status. This is assessed based on UK Government legislation and includes things like where you live and your nationality or residency status. Find out how we assess your fee status.
If you're a UK national, or EU national with settled or pre-settled status under the EU Settlement Scheme, you may be able to apply for a Postgraduate Master’s Loan from the UK government, if you meet certain criteria.
The government has not yet published the loan amount for students starting courses in Autumn 2024. As a guide, the maximum value of the loan was £12,167 for courses starting on or after 1 August 2023.
The loan is not means-tested and you can choose whether to put it towards your tuition fees or living costs.
How will studying at Imperial help my career?
Get the advanced skills and knowledge needed to pursue a career in artificial intelligence and machine learning.
Consider this course if you're pursuing a career in industry, or if you're interested in a research career in academia or industry.
With an Imperial Computing degree, you'll be able to explore a variety of career opportunities.
Graduates are sought after in roles such as application/web development, networking, AI, media, finance, robotics, and computer games.
Other potential career paths include chip design, cyber security, data management, bio-medical systems and transport
Further links
Contact the department
- Telephone: +44 (0) 20 7594 8298
- Email: doc-mscadmissions@imperial.ac.uk
Course Director: Dr Anandha Gopalan
Visit the Department of Computing website.
![Computing Postgraduate Student](https://pxl-imperialacuk.terminalfour.net/prod01/channel_2/media/study---restricted-images/0200226_department_of_computing_120.jpg)
Request info
Find out more about studying at Imperial. Receive updates about life in our community, including event invites and download our latest Study guide.
Request info
![Student looking at laptop smiling](https://pxl-imperialacuk.terminalfour.net/prod01/channel_2/media/study---restricted-images/Newsletter.jpg)
![Guide showing students around campus](https://pxl-imperialacuk.terminalfour.net/prod01/channel_2/media/study---restricted-images/UG---Events.jpg)
Terms and conditions
There are some important pieces of information you should be aware of when applying to Imperial. These include key information about your tuition fees, funding, visas, accommodation and more.
You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.
Programme specifications