Undergraduate BEng Computing
London, United Kingdom
Bachelor's degree
DURATION
3 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Oct 2026
TUITION FEES
EUR 9,790 / per year *
STUDY FORMAT
On-Campus
* Home| Overseas: £45,500
Why study Computing at Imperial?
- Join a community of innovators: We encourage original thinkers. Test your teamwork and innovation skills in IC Hack, Europe’s largest student hackathon, and join students from around the UK to code, build, win prizes and have fun.
- Learn from innovators: Your tutors shape the future of computing. From developing software to model financial systems to creating learning algorithms for robots, learn about the latest developments from the people pioneering them.
- Get set for a rewarding career: Our graduates are among the highest paid in the UK with an average salary of £64k+. Former students are in leading roles at Adobe, Amazon, Google, Meta, Microsoft and Cisco.
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.
This general programme offers you a wide range of module choices as you progress, allowing you to study your areas of interest.
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 central 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) – the basic mathematics of computing; along with classical mathematics and statistics relevant to applications engineering and management.
Throughout this course, you will attend laboratory and problem-solving classes, as well as completing project and design work.
You'll also study advanced techniques and choose from a wide range of optional modules, in addition to completing a substantial individual project on a subject of your choice.
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.
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
In your second year, you will study nine core modules.
You will also select one optional module.
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
In your third year, you will study the following core modules.
You will also select six optional modules.
Year 3
Core modules
- I-Explore
- Individual project
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
- Computer Vision
- Custom Computing
- Communicating Computer Science in Schools
- Network and Web Security
- Advanced Computer Architecture
- Robotics
- Networked Systems
- Operations Research
- Type Systems for Programming Languages
- Data Processing System
- Introduction to Machine Learning
- The Theory and Practice of Concurrent Programming
- Graphics
- System Performance Engineering
- Technical Option (outside Department of
Computing) - Software Engineering Group Projects
- Deep Learning
- Natural Language Processing
- Compilers
A technical module from another Imperial degree programme may be allowed with the permission of the Director of undergraduate studies.
Extracurricular
- Programming Competition Training