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We endeavour to deliver courses as described and will not normally make changes to courses, such as course title, content, delivery, and teaching provision. However, it may be necessary for the University to make changes in the course provision before or after enrolment. It reserves the right to make variations to content or delivery methods, including discontinuation or merging courses if such action is considered necessary. For the full information, please read our Terms and Conditions.

Compulsory modules:

The Internet of Things (20 credits)

Explore cutting-edge IoT technologies, architectures, and communication protocols. Develop practical skills in designing, implementing, and evaluating secure IoT systems that integrate sensors, actuators, and distributed intelligence. Understand the ethical, legal, and societal impacts of IoT, preparing for roles in an increasingly connected and data-driven world.

RF and Microwave Engineering (20 credits)

Acquire comprehensive knowledge of RF and microwave system design, from theoretical principles to hands-on applications. Design, simulate, and evaluate circuits for filters, amplifiers, oscillators, and mixers. Build practical expertise for careers in high-frequency communication systems and emerging wireless technologies.

Renewable Energy and Distribution (20 credits)

Develop a thorough understanding of renewable energy technologies and power distribution systems. Examine low-carbon solutions, storage strategies, and global energy policies. Design sustainable energy systems and evaluate future trends, preparing for a career in the growing renewable energy sector.

Sensors and Actuators (20 credits)

Gain in-depth knowledge of sensory devices and actuation systems for robotic and industrial applications. Design and implement integrated systems that monitor and control real-world processes. Develop critical analytical skills and practical expertise in interfacing, signal processing, and system integration to meet industry demands.

Smart Grids (20 credits)

Understand the design and operation of modern smart grids. Learn to integrate renewable energy sources, optimise energy distribution, and apply intelligent control algorithms. Explore regulatory frameworks and future energy solutions, equipping yourself to drive innovation in sustainable and resilient power systems.

Research & Professional Practice (20 credits)

Develop the essential research, project management, and professional skills to prepare for your MSc dissertation. Learn to formulate research questions, design ethical research, analyse data, and effectively communicate findings. Gain collaborative experience while addressing complex technical challenges with a clear understanding of their societal and environmental impacts.

Technology Dissertation (40 credits)

Apply advanced knowledge and independent research skills to tackle a real-world technology challenge. Develop and critically evaluate innovative solutions through rigorous data analysis, system development, or in-depth research, producing a professional dissertation and presentation that reflect your technical expertise and readiness for industry or academic progression.

Optional modules:

Optical Communication Systems (20 credits)

Explore the principles and advanced design of optical communication systems. Study components such as fibres, lasers, amplifiers, and photonic networks. Analyse current trends and design modern optical networks, developing expertise crucial for high-speed, high-capacity communication infrastructures in the digital economy.

Frontiers in Technology (20 credits)

Investigate emerging technologies and their global impact. Analyse real-world applications, ethical considerations, and business models across fields like AI, 5G, automation, and renewable energy. Develop critical, entrepreneurial, and globally conscious thinking to innovate and lead in the rapidly evolving landscape of digital transformation.

Advanced Signal Processing (20 credits)

Master advanced signal processing concepts and techniques for solving complex engineering challenges. Apply adaptive filtering, image processing, and pattern recognition methods to real-world scenarios. Design, simulate, and evaluate signal processing systems, developing skills essential for high-demand fields like communications, imaging, and machine learning.

To obtain an MSc degree, you must follow and successfully complete a total of 180 credits. PgC (60 credits) and PgD (120 credits) may be awarded as standalone or exit awards.

Our academic staff lead engaging lectures, workshops, and lab sessions, fostering a dynamic learning environment that encourages innovation and critical thinking. Your Programme Director provides further pastoral and academic support, guiding students through their studies and signposting to other services such as career development. Additionally, our wider student support teams – including wellbeing services and technical staff – are on hand to offer comprehensive assistance, ensuring students have the resources and support needed to thrive.

Assessments include research papers, practical assignments, presentations, individual and group reports, as well as individual and team projects. Formative assessments are embedded throughout the course, offering frequent, short-term feedback through weekly workshops, presentations, peer assessment, and academic support services such as library guidance. This approach is designed to encourage students and build their confidence progressively.

Summative feedback is consistently delivered via Moodle and Turnitin GradeMark Feedback Studio, using rubrics, in-text comments, and general feedback to support student learning.

Assessment design is carefully aligned with postgraduate level learning outcomes, focusing on students’ ability to analyse, synthesise, evaluate, and communicate complex information. Students are encouraged to integrate knowledge from academic study, professional experience, and independent research. Clear performance criteria guide assessment tasks to ensure transparency and consistency. Assessments are crafted to promote the practical application of skills to real-world computing and technology challenges, fostering industry-relevant experience. To maintain academic standards, assessment methods are regularly reviewed for validity and reliability by module leaders and programme teams. Finally, assessment formats are designed to support reflective learning, enabling students to evaluate their progress and continuously develop their academic and professional capabilities.

The MSc Electrical and Electronic Engineering is designed to directly prepare you for a successful career in today’s fast-paced technology industries. By combining advanced technical modules with practical, hands-on projects and research-informed teaching, you’ll graduate with both the depth of knowledge and the applied skills that employers value.

Through strong links with local and global industry partners, you’ll benefit from real-world experiences embedded in the programme. Many modules feature expert guest lectures and assessments reviewed by industry panels. You will have the opportunity to collaborate on pioneering projects in smart systems, robotics, IoT, and renewable energy. These experiences not only build your technical expertise but also enhance your problem-solving, teamwork, and project management skills.

Graduates typically progress into roles such as electronics design engineer, RF/microwave engineer, smart systems developer, IoT solutions architect, automation engineer, or renewable energy systems specialist. Many also move into consultancy, technical leadership, or advanced R&D roles in sectors including telecommunications, robotics, aerospace, energy, and manufacturing.

For those interested in further study, the programme provides a solid foundation for pursuing doctoral research (PhD) at Cardiff Met or other leading institutions worldwide. You will be encouraged to publish your work and engage in academic conferences, supporting your journey towards advanced research qualifications and a potential career in academia.

This MSc ensures you graduate not only with advanced technical skills but also as a confident, reflective professional ready to innovate, lead, and make an impact in your chosen field.

Applicants should have an Honours degree at least 2:2 or its equivalent in a relevant area, e.g., Engineering, Electronics, Physics, Mathematics or an appropriate specialism.

Equivalence shall be determined by:

  • International Admissions Team for applicants outside the United Kingdom.
  • The Programme Director will consider modules studied provided within the applicant’s degree transcript. Other qualifications and those in other subject areas will be considered on a case-by-case basis, and an interview may be required.

Prior work experiences in a related field may compensate the Honours degree 2:2 requirement.

English Language Requirements

Applicants whose first language is not English should refer to English Language Requirements to confirm the level and evidence of fluency required for entry to the programme.

Recognition of Prior Learning

If you are interested in using credit from another institution or have obtained qualifications and/or experience to study for a course at Cardiff Met, you can find further information on this as well as information on how to apply on the RPL page.

How to Apply

Applications for this course should be made direct to the University. For further information please visit our How to Apply pages.

Tuition Fees and Financial Support

For up-to-date information on tuition fees and the financial support that may be available, please refer to www.cardiffmet.ac.uk/fees.

Part-time Fees

Charges are per Single Module unless specified:

  • Undergraduate = 10 Credits
  • Postgraduate = 20 Credits

Generally, we find most students will complete 60 credits per year for both Undergraduate and Postgraduate study; to obtain a true costing please clarify this by contacting the Programme Director directly.

For general enquiries please contact the Admissions Team on 029 2041 6010 or email askadmissions@cardiffmet.ac.uk.

For course specific enquiries, please contact the Programme Director, Dr Ginu Rajan: grajan@cardiffmet.ac.uk.