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MENG COMPUTING

Meng Computing

Meng Computing
  • Lugar/Modalidad

    Presencial en Londres

  • Duración

    4 years

  • Fechas

    October 2026

⭐ Full-time

Descripción

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 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 grammars) – 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. 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.

✍ Metodología

- Balance of teaching and learning

This is a general guide to how teaching and learning are usually balanced across this course. The methods used may change based on the modules you take.

- Balance of assessment

This is an example of how assessments are usually divided, based on a typical pathway through the course. The actual breakdown may vary depending on the modules you choose.

Assessment methods

- Programming exercises

- Person completing coursework

- Written 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

✔ Requisitos

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.

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Temario Meng Computing 2026

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

- Scalable Software Verification

- Scalable Systems and Data

- Privacy Engineering

- Cryptography Engineering

- Advanced Computer Graphics

- Computational Finance

- Complexity

- Software Reliability

- Advanced Computer Security

- Deep Learning

- Machine Learning for Imaging

- Principles of Distributed Ledgers

- Program Analysis

- Quantum Computing

- Software Engineering for Industry

- Computational Optimisation

- Natural Language Processing

- Mathematics for Machine Learning

- Reinforcement Learning

- Modal Logic for Strategic Reasoning in AI

- Advanced Computer Architecture

- Custom Computing

- Robot Learning

- Scheduling and Resource Allocation

- Methods and Tools in the Theory of Computing

- Computational Neurodynamics

- Human-Robot Interaction

- Statistical Information Theory

- Deep Graph-based Learning

Optional modules – Group B

- 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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