On this programme you will focus on hardware and software integration methodologies together with the incorporation of modern neuro-fuzzy technologies, with the aim of developing systems that are able to improve their effectiveness through learning. Such systems can include autonomous robots on one hand and media-processing-intensive PDAs on the other. You will study leading-edge applications such as biometric authentication and speech-based interaction. You will be taught by experienced research and teaching staff with expertise in the specialist fields and you will be learning about the latest theories, techniques and technologies.
You will need an understanding of both generic and domain-specific research techniques, and the ability to apply them in your own work. A module in research methods enables you to develop these techniques, moving from generic skills, such as the design and evaluation of experiments, to focus on the specific skills that you will need for your own project. An important outcome of the module is a well-structured report, augmented by the use of appropriate artefacts and media, presenting your proposals for your specialist project.
In the first two semesters of the programme you take modules exploring a variety of current research topics in electronics and related areas. At the end of the programme you complete a project which enables you to demonstrate your understanding of the principles and concepts that you have learned and your ability to apply them to a substantial piece of development or investigative work.
- The School has over 25 years' experience of teaching electronic engineering and has established an excellent international reputation in this field;
- We offer extensive lab facilities for engineering students, including the latest software packages;
- Study leading-edge applications such as biometric authentication and speech-based interaction.
You will typically be employed in the design and implementation of advanced digital systems and networks in the communication and control industries. Within your area of expertise, you will be making independent design decisions on mission-critical systems.
Our enthusiastic staff is always looking for new ways to enhance your learning experience and over recent years, we have won national awards for our innovative teaching ideas. In addition our staff are active in research and useful elements of it are reflected on the learning experience. Learning tools such as StudyNet, unique to the University of Hertfordshire, are extremely useful for the learning environment of the student.
“Great combination of practical sessions and theory from experienced staff and resources. Not just a degree, I gained great satisfaction and confidence.”
MSc Mechanical Engineering University of Hertfordshire School of Engineering and Technology
''I knew I would be studying at Masters Level. What I never knew was that I would learn so much in just a space of a year. I feel so proud of myself and of UH because it's worth more than the price compared to what colleagues from other institution in UK experience.''
MSc Aerospace Engineering University of Hertfordshire School of Engineering and Technology
“You will improve yourself studying at the UH from highly experienced and helpful lecturers.”
MSc Radio and Mobile Communication Systems University of Hertfordshire School of Engineering and Technology
"Working with incredibly enthusiastic staff that provide students the dexterity to pursue their future ambitions”
MSc Embedded Intelligent Systems University of Hertfordshire School of Engineering and Technology
A first or second-class degree in Electronic Engineering, Computer Engineering, or a closely related discipline. In addition, candidates should have been exposed to relevant material at undergraduate level to sufficient depth to enable them to benefit from their chosen MSc programme.
UK/EU Students: Full time £7,250, Part time £605 per module; International Students: Full time £12,500
Recipient: University of Hertfordshire
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