Why choose Electronic Engineering MSc at Middlesex?
Our postgraduate degree cultivates research-oriented knowledge in the field of electronic engineering, and covers cutting-edge subjects such as:
- Contemporary digital twin technology
- Embedded real-time systems
- 5G/6G systems
- AI/ML
- DSP
- Robotics
It's a hands-on course, where theory and analysis are validated in our state-of-the-art laboratories.
You will have exclusive opportunities to:
- Contribute to research projects at the London Digital Twins Research Centre, the 5G/6G and IoT Research Group and collaborate with leading global industry partners such as Ericsson, Rakuten Symphony and Viavi Solutions
- Acquire a profound understanding of electronic engineering knowledge and skills, equipping you to excel in designing, analysing, and implementing advanced electronics systems
- Spend up to a year in industry, gaining practical, hands-on experience in electronic and telecommunication roles; these placements complement academic learning by immersing students in real-world projects within cutting-edge sectors
- Participate in interactive projects and workshops, gaining practical skills that replicate real-world industrial practices, supported by state-of-the-art labs and tools
- Learn academic and scientific skills in researching, experimenting and presenting your work
- Develop the technical and practical skills sought by employers in the areas of electronic engineering and automation.
- Develop into a forward-thinking professional who thrives in ever-changing technological landscapes. The curriculum is crafted to enhance your innovation capabilities, preparing you to tackle complex electronics system challenges.
This MSc degree will prepare you for both industrial roles and further PhD research.
3 great reasons to pick this course
About your course
A brief overview of the three semesters, the modules you will study, and how we will teach and assess you.
This is a one-year course made up of three semesters.
In the first semester, you will be exposed to various topics such as DSP, 5G/6G, wireless communications concepts, automation, programming robot arms, IoT sensors and devices, machine learning algorithms and their applications in digital twinning.
The second semester will provide advanced knowledge on machine learning and artificial intelligent algorithms with real-world applications. You'll analyse and build real-time constrained embedded systems and will investigate the environmental impact of the design engineering processes.
The third semester will see you consolidate your acquired knowledge and skills in a personal final project, which could be either implementation or research-based work.
You will be provided with detailed coverage of digital filters, spectrum analysis, source coding, channel coding, baseband and bandpass digital modulation and demodulation techniques, detection theory and error analysis, spread spectrum signals and multiuser communications, wireless fading channels, channel equalization techniques, and advanced topics in 5G/6G enabling technologies.
This module provides a comprehensive and advanced understanding of Digital Twins and their industrial applications, e.g., IoT sensors and devices, data management frameworks, advanced data analytics and machine learning algorithms. You will also learn how to create digital twins and adopt them to model, simulate and manage industrial processes.
You will be provided with detailed coverage of real-time computing with respected to timeliness, reliability/safety, and environmental interface. You will be analytically and experimentally exposed to the state-of-the-art approaches to design and implement systems meeting time-deadline tasks given constrains on physical/hardware and energy resources.
This module covers issues such as sustainability goals, recognition of obligations to the society, the professional practice and a commitment to professional standards and Code(s) of Conduct relevant to their discipline (such as the Engineering Council), materials and their impact on environmental factors, waste management, ethics, EDI in a workplace.
This module equips you with knowledge of fundamental concepts of robot manipulators, such as coordinate systems, transformations, kinematics, motion planning. You will put the knowledge of these principles into practice by modelling, simulating, programming and operating robot arms. You will gain experience of specialised software frameworks for robotic manipulation.
You will explore key machine learning (ML) methods and algorithms, applying them to real-world applications such as robotics, communications, mechatronics, electronics, and cyber-physical systems. Through practical development of artificial intelligence (AI) and ML systems, you will also engage with and critically examine theoretical challenges within AI and its engineering applications.
The module consolidates the knowledge and advanced skills gained in the preceding modules allowing you to develop and demonstrate mastery in undertaking advanced engineering projects in their future employment. The module develops advanced skills and practical experience in planning, problem solving, implementing engineering solutions, making effective written, and oral presentations.
The course is taught through a series of practical lab sessions as well as self-directed study and project-based learning.
You will be taught by an experienced teaching team with a wide range of expertise and professional experience. In addition, there are technical tutors and graduate academic assistants to support you during and after classes.
You will be assigned a personal tutor who will support you with help and advice throughout your studies.
You will be based at our leafy north London campus - mainly in the Ritterman and Hatchcroft buildings. It is equipped with industry-standard equipment in mechatronics, robotics, electronic and networking solutions.
Whether you are studying full or part-time – your course timetable will balance your study commitments on campus with time for work, life commitments and independent study.
We aim to make timetables available to students at least 2 weeks before the start of term. Some weeks are different due to how we schedule classes and arrange on campus sessions.
A typical week looks like this:
| Learning | Hours per week |
|---|---|
| On-campus | 12 |
| Online | As required |
| Independent study | 38 |
- On-campus: This includes tutor-led sessions such as seminars, lab sessions and demonstrations as well as student-led sessions for work in small groups
- Online learning: This is teaching that is delivered online using tools like MS Teams or Zoom, as well as work that you do yourself using online teaching resources
- Independent study: This is the work you do in your own time including reading and research
- Part-time study: You can also study this course part-time
Academic support
We have a strong support network online and on campus to help you develop your academic skills. We offer one-to-one and group sessions to develop your learning skills together with academic support from our library, IT teams and learning experts.
Coursework and assessments
You will be assessed through a variety of tasks and assignments such as individual and group projects, coding and hardware implementations with live or recorded demos, reports, research papers, presentations, project proposals and literature reviews, logbooks and blogs.
Feedback
You'll evaluate your work, skills and knowledge and identify areas for improvement. Sometimes you'll work in groups and assess each other's progress.
Each term, you'll get regular feedback on your learning.
To find out more about this course, please download the MSc Electronic Engineering programme specification (PDF).
Mechatronics, Robotics and Engineering facilities
Careers
How can the MSc Electronic Engineering support your career?
Our course is focused on developing engineers who are experts in understanding, designing, and innovating electronic devices and technology systems. Master’s graduates will be well-prepared to lead in the field of electronic engineering, driving innovation and contributing to the development of sustainable, efficient, and impactful engineering solutions.
Examples of career paths for our master’s graduates include senior engineer roles in electronic design, embedded systems, control systems, telecommunications, power electronics, data science, etc. In addition to lucrative employment opportunities, our master’s graduates are well-prepared for advanced studies, with many opting for specialised doctoral programmes to further their expertise in cutting-edge areas of electronic engineering and next generation technology research.
Our university's postgraduate courses have been recognised for their ability to support your career. We are top 10 UK University for employability in the UniCompare Rankings 2025, and a top 10 UK university for industry connections and funding in Times Higher Education Young University Rankings 2024.
Entry Requirements
Qualifications
We welcome your application regardless of your background or experience.
For this course, ideally, we are looking for:
- A 2:2 honours degree or above, or equivalent, in electrical/electronic engineering, computer science or a related computing engineering area, with evidence of previous programming experience, or
- A minimum of three years' relevant work experience and the ability to study at postgraduate level.
If you have relevant qualifications or work experience, we may be able to count this towards your entry requirements.
Personal statements
Make sure that you highlight your best qualities in your personal statement that are relevant to this course. Such as the ability to be forward-thinking, creative and collaborative.
Interviews
You won’t be required to attend an interview.
We welcome students from the UK, EU and all over the world. Join students from over 122 countries and discover why so many international students call our campus home:
- Quality teaching with top facilities plus flexible online learning
- Welcoming north London campus that's only 30 minutes from central London
- Work placements and networking with top London employers
- Career support to get you where you want to go after university.
Qualifications
Here are the qualifications relevant for this course:
- A 2:2 honours degree or above, or equivalent, in electrical/electronic engineering, computer science or a related computing engineering area, with evidence of previous programming experience
If you have relevant qualifications or work experience, we may be able to count this towards your entry requirements.
English language
You'll need good English language skills to study with us. That's usually a IELTS 6.5 (with minimum 6.0 in each component) or TOEFL internet based 87 (with at least 21 in listening & writing, 22 in speaking and 23 in reading). Find out more about our English language requirements. And, don't worry If you don't meet our minimum English language requirements, as we offer an intensive pre-sessional English course.
Visas
International students can apply for a student visa to train to teach at Middlesex University if:
- they have an unconditional offer from Middlesex University
- they can financially support themselves in the UK and pay for their course
- they meet the English language requirements for the student visa.
Apply as early as possible to make sure you get a place. You can submit your application before you receive your final qualification.
Find out how to apply for postgraduate taught courses and watch our step-by-step video.
Personal statements
Make sure that you highlight your best qualities in your personal statement that are relevant to this course. Such as your ability to be forward-thinking, creative and collaborative.
Interviews
You won't be required to attend an interview.
Register your interest
Sign up now to receive more information about studying at Middlesex University London.
Get answers from our Unibuddy student ambassadors
View our range of student ambassadorsThe programme strengthened my expertise in advanced telecommunications and also helped me develop strong research interests in Reconfigurable Intelligent Surfaces (RIS), Simultaneous Wireless Information and Power Transfer (SWIPT), and Physical Layer Security. I won First Prize in the Student Poster Competition at the IEEE ComSoc 2024 Workshop Series on Emerging 6G Technologies, and earned a Santander-funded internship at VIAVI Solutions Limited, where I gained intensive experience in 5G network testing procedures, transmission chains and O-RAN based performance improvements as per standards.
Fees and funding
The fees below are for the 2026/27 academic year:
UK students1
Full-time students £11,700
International students2
Full-time students: £18,600
Placement
£3,000 per year