Computing (Artificial Intelligence and Machine Learning)
  • Undergraduate
  • MEng

Computing (Artificial Intelligence and Machine Learning)

Focus your study of computing on artificial intelligence in this integrated Master’s degree.

Focus your study of computing on artificial intelligence

Learn how modern computer and communications systems function, and how they can be adapted to build the next generation of computing applications

Use sound underlying principles and logical thinking to design and build systems as you develop your technical expertise

Showing course information for 2025 View 2024 course information

Course key facts

  • Qualification

    • MEng

  • Duration

    4 years

  • Start date

    October 2025

  • UCAS course code

    G700

  • Study mode

    Full-time

  • Fees

    • Not set Home

    • Not set Overseas

  • Delivered by

  • Location

    • South Kensington

  • Applications: places

    17 : 1 (2023)

Minimum entry standard

  • A*A*A – A*AAA (A-level)

  • 41 points (International Baccalaureate)

View full entry requirements

Course overview

Computing is a creative and wide-ranging subject that focuses on using sound underlying principles and logical thinking to design and build systems that really work.

You'll specialise in artificial intelligence and knowledge engineering, as well as machine learning and the development of computational and engineering models of complex cognitive and social behaviours.

In this course, you will learn how modern computer and communications systems function, and how they can be used and adapted to build the next generation of computing applications.

The core of this programme has been designed to give you an overview of computing. This includes an understanding of basic concepts and principles, the ability to appreciate and to adapt to changes in technology, and practical experience in applied computing.

A special emphasis of your studies will be on the fundamental principles underlying computing and on the engineering considerations involved in computing system design, implementation and usage. You will be introduced to computing architecture and hardware, and the software used to exploit them.

This course will also equip you with a strong background in discrete mathematics (logic, sets, relations and grammar), classical mathematics and statistics relevant to applications engineering and management.

Throughout the programme, you will attend laboratory and problem-solving classes, as well as completing project and design work. As the course progresses, you will study advanced techniques and modules; many of which draw on current research taking place in the Department.

At the end of your third year, you will gain valuable skills and experience by completing an industrial placement. Your study reaches Master's level in the final year, with a wide choice of optional modules and a substantial individual project on a subject of your choice.

Subject to university approval.

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.

In your first year, you will study the following core modules.

Core modules

  • Introduction to Computer Systems
  • Introduction to Databases
  • Introduction to Computer Architecture
  • Computing Practical 1
  • Discrete Mathematics, Logic and Reasoning
  • Graphs and Algorithms
  • Calculus
  • Linear Algebra

In your second year, you will study nine core modules.

You will also select one optional module.

Core modules

  • Algorithm Design and Analysis
  • Software Engineering Design
  • Models of Computation
  • Operating Systems
  • Networks and Communications
  • Compilers
  • Probability and Statistics
  • Computing Practical 2
  • Computing Group Project

Optional modules

  • Symbolic Reasoning 
  • Computational Techniques

In your third year, you will study the following core modules.

You will also select a total of six optional modules. 

At least two optional modules must be chosen from Group A.

Core modules

  • Industrial Placement (First Part)
  • I-Explore

Your I-Explore module offers you choices from a range of subjects hosted outside of the department. You will be taught alongside students from other courses, with options including business, management and many more.

The Industrial Placement does not contribute to your final degree classification.

Optional modules – Group A

  • Computer Vision
  • Introduction to Machine Learning
  • Software Engineering Group Project
  • Networked Systems

Optional modules – Group B

  • Robotics
  • The Theory and Practice of Concurrent Programming
  • Graphics
  • Custom Computing
  • Data Processing Systems
  • Communicating Computer Science in Schools
  • Network and Web Security
  • Advanced Computer Architecture
  • System Performance Engineering
  • Operations Research
  • Distributed Algorithms
  • Type Systems for Programming Languages
  • Technical option from outside the Department of Computing

Elective/technical modules from another Imperial degree programme may be allowed with the permission of the Director of undergraduate studies.

In your fourth year, you will study the following core modules.

You will also select seven optional modules.

A minimum of two modules must be chosen from Group A, and a maximum of two modules may be chosen from Group C.

Core modules

  • Individual Project
  • Industrial Placement (Second Part)

Optional modules – Group A

  • Deep Learning
  • Natural Language Processing
  • Machine Learning for Imaging
  • Mathematics for Machine Learning
  • Reinforcement Learning
  • Modal Logic for Strategic Reasoning in AI
  • Robot Learning 

Optional modules – Group B

  • Scalable Software Verification
  • Scalable Systems and Data
  • Privacy Engineering
  • Cryptography Engineering
  • Advanced Computer Graphics
  • Computational Finance
  • Complexity
  • Software Reliability
  • Advanced Computer Security
  • Principles of Distributed Ledgers
  • Program Analysis
  • Quantum Computing
  • Software Engineering for Industry
  • Computational Optimisation
  • Advanced Computer Architecture
  • Custom Computing
  • Scheduling and Resource Allocation

Optional modules – Group C

  • Communicating Computer Science in Schools
  • Elective(s) from outside the Department of Computing

Teaching and assessment

Balance of teaching and learning

Key

  • Lectures and tutorials
  • Laboratory sessions
  • Independent study

Years 1 and 2

  • 20% Lectures and tutorials
  • 5% Laboratory sessions
  • 75% Independent study

Teaching and learning methods

  • Person at lectern giving speech
    Lectures
  • Four students sitting in a tutorial
    Tutorials
  • People collaborating and completing practical work.
    Laboratory-based teaching
  • Person participating in classroom discussion.
    In-class problem solving
  • Personal supervision of project work

Balance of assessment

Key

  • Coursework
  • Examinations
  • Practical

Year 1

  • 10% Coursework
  • 84% Examinations
  • 6% Practical

Year 2

  • 10% Coursework
  • 57% Examinations
  • 33% Practical

Year 3

  • 8% Coursework
  • 42% Examinations
  • 50% Practical

Year 4

  • 9% Coursework
  • 50% Examinations
  • 41% Practical

Assessment methods

  • Code on a computer screen
    Programming exercises
  • Computer-based programming tests
  • Person completing coursework
    Written coursework
  • Computer-based coursework
  • A person completing a written exam
    Examinations
  • Software demonstrations
  • A group of people interacting
    Group work
  • Papers from a written report
    Written reports
  • Research summaries
  • Oral presentations

Entry requirements

We consider all applicants on an individual basis, welcoming students from all over the world.

How to apply

Apply via UCAS

When applications open, you will be able to start your application via UCAS Hub. There you can add this course as one of your choices and track your application.

Applications open on 14 May 2024

Application deadlines – 29 January 2025 at 18.00 (UK time)

Tuition fees

Home fee

2025 entry

Not set
As a guide, the Home fee for 2024–25 was £9,250 per year

Overseas fee

2025 entry

Not set
As a guide, the Overseas fee for 2024–25 was £40,940 per year

How will studying at Imperial help my career?

Person in a bubble surrounded by 4 skills

Gain transferable skills relevant to a career in industry and academia.

Lightbulb above a book

With specialised knowledge, you'll be highly sought after in a range of sectors.

Management organisational chart

Management consultancy, corporations, computer gaming and special effects are just some of your options.

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Other potential career paths could include banking and finance.

Course data

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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.

Read our terms and conditions

You can find further information about your course, including degree classifications, regulations, progression and awards in the programme specification for your course.

Programme specifications