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Communications and Information Engineering (MSc)
Communications and Information Engineering (MSc)
We may have revised the information on this page since publication. See the edits we have made and content history.

P-H641
MSc
1 year full-time
28 September 2026
Engineering
University of Warwick
Develop the technical expertise and practical experience required by today’s communication and information engineering industries.
This course is accredited by the IET and InstMC. More information about accreditation is available on the School of Engineering websiteLink opens in a new window.
Our MSc in Communications and Information Engineering allows students to gain expertise in the fundamentals of communication systems and networks, as well as the protocols for transmitting large amounts of data reliably and effectively.
You’ll cover developments in wireless network architectures and deployment (such as 4G/5G/6G communication systems) and have the opportunity to study advanced topics such as artificial intelligence and cyber security for communication systems in real-world settings. Cross-discipline options from the Department of Computer Science offer key insights into approaches for dealing with the explosion in data collected in modern society.
You will also undertake an individual research project – an extensive experimental, theoretical, or computational study on a topic of your choice, guided by an academic supervisor. Previous project titles include: Machine learning for end-to-end design of wireless and optical communication systems; Cyber-physical system security in smart energy systems, robotics, and healthcare applications. Our research within the School of Engineering covers a wide range of expertise in communication systems, cyber-physical systems (smart grids, robotics, and healthcare) optical networks, internet-of-things, digital twins and applied artificial intelligence.
After graduation you’ll be well equipped for employment opportunities in modern information and communication engineering, which is currently undergoing a revolution. Recent graduates from the course occupy positions in a variety of industries in the UK and worldwide, including core network provision, automotive communications, smart grids, logistics, software support and data communication equipment/services, as well as banking, oil and gas, and fashion. The course is also the perfect platform for progression to a PhD.
The degree comprises eight taught modules and an individual research project. The individual research project is an in-depth experimental, theoretical or computational investigation of a topic chosen by you in conjunction with your academic supervisor.
Previous project titles include: Machine learning for end-to-end design of wireless and optical communication systems; Cyber-physical system security in smart energy systems, robotics, and healthcare applications. Our research within the School of Engineering covers a wide range of expertise in communication systems, cyber-physical systems (smart grids, robotics, and healthcare), optical networks, internet-of-things, digital twins and applied artificial intelligence.
Class sizes for lectures, practical laboratory sessions and seminars vary depending on the number of students taking the module.
The MSc degree (totalling 180 credits) comprises:
The typical workload for a 15-credit module is as follows:
The research project is valued at 60 credits and students should plan to execute around 600 hours of work towards the completion of the project dissertation.
You will experience a variety of assessment methods, and can expect to mostly sit examinations and complete coursework assignments.
If you would like to view reading lists for current or previous cohorts of students, most departments have reading lists available through Warwick Library on the Talis Aspire platform.
You can search for reading lists by module title, code or convenor. Please see the modules tab of this page or the module catalogue.
Please note that some reading lists may have restricted access or be unavailable at certain times of year due to not yet being published. If you cannot access the reading list for a particular module, please check again later or contact the module’s host department.
Your personalised timetable will be complete when you are registered for all modules, compulsory and optional, and you have been allocated to your lectures, seminars and other small group classes. Your compulsory modules will be registered for you and you will be able to choose your optional modules when you join us.
A minimum 2:i undergraduate UK Honours degree or equivalent international qualification, in an engineering, physical sciences or mathematical subject.
Please note that applicants will need post A2 Level (or equivalent) knowledge in Mathematics, covering topics such as linear algebra, calculus and analysis, and including differential equations. This could be gained through a mathematics module taken as part of an undergraduate course. It is expected that candidates have a good understanding of these topics at the start of their MSc studies.
You can see how your current degree score or GPA equates to the British system in our Study pages in the equivalent scores table.
We are willing to consider applications from students with lower qualifications on a case-by-case basis, particularly when the applicant can evidence relevant employment, practical experience or strong performance in undergraduate modules related to their proposed postgraduate course of study.
To ensure you have the essential foundations for the course, and depending on your overall academic profile, we may require you to take a mathematical skills test.
There are no additional requirements for this course.
We have revised the information on this page since publication. See the edits we have made and content history.