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Next Date: October 2026
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.
This course allows you to focus on the theory and tools of business management that require computerised solutions, including decision support and constraint solving techniques.
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 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.
£
Minimum entry standard
A*A*A – A*AAA
To include:
- A* in Mathematics
- A*, A in two further subjects or AAA in three further subjects, with Further Mathematics preferred.
Not accepted: ICT, Business Studies, General Studies and Critical Thinking
Science Practical Endorsement: If you are made an offer you will be required to achieve a pass in the practical endorsement in all science subjects that form part of the offer.
Recommended subjects
- Computer Science
- Physics
- Further Mathematics
Useful subjects
- Ancient Language, Biology, Chemistry, Economics, Electronics, English Literature, History, Languages, Law, Philosophy, Politics, Psychology
Recommended and useful subjects are those that the Department deems to be very useful knowledge foundations to undertake a computing degree at Imperial. The department may still consider applicants with other subject combinations.
Apply for partial scholarships
Year 1
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
Year 2
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
- Machine Learning
Optional modules
- Symbolic Reasoning
- Computational Techniques
Year 3
Core modules
- Industrial Placement (First Part)
- I-Explore module
Through I-Explore, you'll have the chance to deepen your knowledge in a brand new subject area, chosen from a huge range of for-credit modules.
All of our undergraduate courses include one module from I-Explore's wide selection. The module you choose will be fully integrated into your course's curriculum and count as credit towards your degree.
Optional modules – Group A
- Operations Research
- Network and Web Security
- Group Project
- Networked Systems
Optional modules – Group B
- System Performance Engineering
- Introduction to Machine Learning
- The Theory and Practice of Concurrent Programming
- Computer Vision
- Graphics
- Custom Computing
- Communicating Computer Science in Schools
- Advanced Computer Architecture
- Robotics
- Type Systems for Programming Languages
- Data Processing Systems
- Technical option from outside the Department of Computing
- Deep Learning
- Natural Language Processing
Elective/technical modules from another Imperial degree programme may be allowed with the permission of the Director of undergraduate studies.
Year 4
Core modules
- Individual Project
- Industrial Placement (Second Part)
Optional modules – Group A
- Computational Finance
- Computational Optimisation
Optional modules – Group B
- Privacy Engineering
- Scalable Systems and Data
- Software Engineering for Industry
- Principles of Distributed Ledgers
- Cryptography Engineering
- Advanced Computer Graphics
- Scalable Software Verification
- Complexity
- Software Reliability
- Advanced Computer Security
- Deep Learning
- Program Analysis
- Machine Learning for Imaging
- Natural Language Processing
- Quantum Computing
- Mathematics for Machine Learning
- Reinforcement Learning
- Modal Logic for Strategic Reasoning in AI
- Advanced Computer Architecture
- Custom Computing
- Robot Learning
- Scheduling and Resource Allocation
Optional modules – Group C
- Communicating Computer Science in Schools
- Elective(s) 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.
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