School of Electronic Engineering and Computer Science

Electronic Engineering by Research

MSc ( 1 year Full-time / 2 years Part-time )


An MSc by Research will provide you with the necessary skills to undertake research, either in an academic or industrial environment. The expectation is that every graduate from the degree publishes at least one conference paper as part of the research. You will have the opportunity to develop further research and technical skills and to be able to demonstrate a level of independence that is greater than developed on a purely taught programme.

The programme is suitable for outstanding students who have an interest in advanced research-based study in one of our research specialisms: Antenna and Electromagnetics; Centre for Digital Music (C4DM); Multimedia and Vision (MMV); Networks.

On this programme you will use theoretical and experimental research techniques to explore and create innovative state-of-the-art technologies, enabling you to transfer your knowledge for practical application in the future.

You will join one of our research groups, taking four selected taught modules and completing an extended research project. You will have the opportunity to develop further research and technical skills and to be able to demonstrate a level of independence that is greater than developed on a purely taught programme.

This programme will:

  • Give you access to our state-of-the art research and laboratory facilities including a listening room; antenna measurement laboratory; augmented human interaction laboratory; and interdisciplinary informatics hub.
  • Support you in producing an extended individual research project that is of a suitable quality to be published in a peer-reviewed journal.
  • Serve as a pathway to a PhD, providing the necessary training to prepare for a career in research and development.

Why study your MSc in Electronic Engineering by Research at Queen Mary?

Our research-led approach

Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.

Our strong links with industry

  • We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.


The modules listed below provide some general guidance on what you may be expected to learn during each semester and year of this degree. The exact modules available may vary depending on staff availability, research interests, new topics of study, timetabling and student demand.

Semester 1

Any 2 modules from the following list: (for part time students, 1 module per semester)

  • Communication Theory
  • Mobile and WLAN Technologies
  • 21st Century Networks
  • Software and Network Service design
  • Fundamentals of DSP
  • Machine Learning
  • Introduction to Computer Vision
  • Introduction to Object-Oriented Programming
  • Design for Human Interaction
  • Functional Programming
  • Program Specifications
  • Semi-structured Data and Advanced Data Modelling
  • IT Programming
  • Information Systems
  • Computer Graphics
  • Music Perception and Cognition
  • Interactive Digital Multimedia Techniques
  • Sound Recording and Production Techniques
  • Applied Statistics
  • Data Mining
  • Big Data Processing
  • Introduction to IOT
  • Enabling Communication Technologies for IoT
  • Electronics
  • Control Systems

Semester 2

Any 2 modules from the following list: (for part time students, 1 module per semester)

  • Research Methods I
  • Artificial Intelligence
  • Network Modeling and Performance
  • Mobile Services
  • Security and Authentication
  • Real-Time and Critical Systems
  • Business Technology Strategy
  • Music and Speech Modelling
  • Digital Audio Effects
  • Music Analysis and Synthesis
  • Real-Time DSP
  • Interactive System Design
  • Machine Learning for Visual Data Analysis
  • Deep Learning and Computer Vision
  • The Semantic Web
  • Information Retrieval
  • Software Analysis and Verification
  • Natural Language Processing
  • Bayesian Decision and Risk Analysis
  • Distributed Systems
  • Database Systems
  • Graphical User Interfaces
  • Business Information Systems
  • Network Planning, Finance and Management
  • Digital Arts Documentary
  • C++ for Image Processing
  • Foundations of Intellectual Property Law & Mgt
  • Digital Media and Social Networks
  • Advanced Object Oriented Programming
  • Data Analytics
  • Cloud Computing

Semester 3

  • MSc by Research Project (120 credits)

We aim to deliver your programme so that it closely matches the way in which it has been described to you by QMUL in print, online, and/or in person. We review our modules on a regular basis, in order to continue to offer innovative and exciting programmes.

Entry requirements

You should possess a good honours degree (minimum upper second class) in a relevant subject. In your application you should identify the relevant research group. Offers are subject to the agreement of a suitable research proposal.

For international students we require English language qualifications IELTS 6.5 or TOEFL 92 (internet based).

International applicants

Students from outside of the UK help form a global community here at Queen Mary. For detailed country specific entry requirements please visit the International section of our website. If your first language is not English, you must provide evidence of your English language proficiency. You can find details on our English language entry requirements here:

If you do not meet language or scholarly requirements it might be possible for you to undertake foundation or pre-sessional programmes that will prepare you for the masters programme. For more information, please contact the Admissions Office.

Places on this programme are limited. We will give equal consideration to all applications received by May 1st 2019. We may still accept applications received after this date, but will not be able to offer a place if the programme is full.

If you are unable to find the information you require, please contact the Admissions Office for assistance.

Learning and teaching

Learning and teaching

As a student at Queen Mary, you will play an active part in your acquisition of skills and knowledge. Teaching is by a mixture of formal lectures and small group seminars. The seminars are designed to generate informed discussion around set topics, and may involve student presentations, group exercise and role-play as well as open discussion. We take pride in the close and friendly working relationship we have with our students. You are assigned an Academic Adviser who will guide you in both academic and pastoral matters throughout your time at Queen Mary.

Teaching for all modules includes a combination of lectures, seminars and a virtual learning environment. Each module provides 36 hours of contact time, supported by lab work and directed further study.

Independent study

For every hour spent in classes you will be expected to complete further hours of independent study. Your individual study time could be spent preparing for, or following up on formal study sessions; reading; producing written work; completing projects; and revising for examinations.

The direction of your individual study will be guided by the formal study sessions you attend, along with your reading lists and assignments. However, we expect you to demonstrate an active role in your own learning by reading widely and expanding your own knowledge, understanding and critical ability.

Independent study will foster in you the ability to identify your own learning needs and determine which areas you need to focus on to become proficient in your subject area. This is an important transferable skill and will help to prepare you for the transition to working life.


Modules are assessed through a combination of coursework and written examinations. You will also be assessed through an individual project.


You will also be assessed on a supervised 10,000-to 15,000-word dissertation.


Our students have access to our RIBA-award-winning Informatics Teaching Laboratory (ITL), which offers over 300 workstations, specialist software and powerful servers, interconnected by high-bandwidth networks. All the systems are accessible remotely, with wireless networking across the campus.

To support our research led teaching, we also have specialist laboratories in multimedia, digital signal processing, antennas and electroencephalography (EEG) and network quality.

Media and Arts students have access to our Augmented Human Interaction (AHI) Laboratory combines pioneering technologies, including full-body and multi-person motion capture, virtual and augmented reality systems and advanced aural and visual display technologies.  

Some of the ‘tech toys’ students get to play and explore with include a  dedicated mobile VR and Augmented Reality (AR) resource including a suite of HTC Vive headsets, Oculus Rift headsets, 6 x 4k cameras and a 360 degree camera rig, Leap Motion sensors with VR mounts, headphones for independent head-tracking,  Kolor video stitching software and prototyping equipment such as a Rico Theta camera, and Samsung Gear headset.

We formed the Interdisciplinary Informatics Hub in Collaboration with the Schools of Biological and Chemical Sciences and Mathematical Sciences. These laboratories provided a meeting place for postgraduates from the three Schools to interact and exchange ideas.


Tuition fees for Home and EU students

2020/21 Academic Year

Full time £10,900
Part time £5,450

Tuition fees for International students

2020/21 Academic Year

Full time £22,750
Part time £11,400

Part time fees are charged per annum over two years for a two year programme and per annum over three years for a three year programme. A percentage increase may be applied to the fees in years two and three.

This increase is defined each year and published on the intranet and in the Tuition Fee Regulations. A 3% increase was applied to the unregulated university fees in 2019/20. Further information can be viewed on our University Fees webpage, including details about annual increases.


There are a number of sources of funding available for Masters students.

These include a significant package of competitive Queen Mary University of London (QMUL) bursaries and scholarships in a range of subject areas, as well as external sources of funding.

Queen Mary bursaries and scholarships

We offer a range of bursaries and scholarships for Masters students including competitive scholarships, bursaries and awards, some of which are for applicants studying specific subjects.

Find out more about QMUL bursaries and scholarships.

Alternative sources of funding

Home/EU students can apply for a range of other funding, such as Professional and Career Development Loans, and Employer Sponsorship, depending on their circumstances and the specific programme of study.

Overseas students may be eligible to apply for a range of external scholarships and we also provide information about relevant funding providers in your home country on our country web pages.

Download our Postgraduate Funding Guide for detailed information about postgraduate funding options for Home/EU students.

Read more about alternative sources of funding for Home/EU students and for Overseas students.

Tel: +44 (0)20 7882 5079

Other financial help on offer at Queen Mary

We offer one to one specialist support on all financial and welfare issues through our Advice and Counselling Service, which you can access as soon as you have applied for a place at Queen Mary.

Our Advice and Counselling Service also has lots of Student Advice Guides on all aspects of finance including:

Tel: +44 (0)20 7882 8717

Graduate employment

Queen Mary's Electronic Engineering postgraduates go on to work in a wide variety of careers, mostly within IT and information services.

The national 2011 destination survey confirmed that 80.9% of postgraduates in this School were in employment and/or study six months after graduation with 89.5% of these already working/studying at graduate level. Queen Mary graduates from this School also have a strong earning power, with a median salary of £26,110.

Throughout the course, postgraduates have access to a careers programme to prepare them for applying for work after graduation. This programme includes workshops on job hunting and job applications as well as employer events to facilitate networks and help students to explore their options.

Read more about our careers programmes and range of work experience opportunities on the QM Careers pages