This MSc programme targets the needs of a rapidly evolving communications engineering sector and provides an industrially relevant and exciting qualification in the latest advanced communications technologies being employed and developed.
Study the techniques and technologies that enable advanced communications provision through fixed and wireless/mobile networks, and that modernise the core networks to provide ultra-high bit-rates and multi-service support.The Advanced Communications Engineering (RF Technology and Telecommunications) MSc at Kent is well-supported by companies and research establishments in the UK and overseas.
The programme reflects the latest issues and developments in the telecommunications industry delivering high quality systems level education and training. Gain deep knowledge of next generation wireless communication systems including antenna technology, components and systems, and fibre optic and converged access networks.
The School of Engineering and Digital Arts (http://www.eda.kent.ac.uk/) successfully combines modern engineering and technology with the exciting field of digital media. The School was established over 40 years ago and has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.
The School undertakes high-quality research that has had significant national and international impact, and our expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. We have a thriving student population studying for postgraduate degrees in a friendly and supportive teaching and research environment.
We have research funding from the Research Councils UK, European research programmes, industrial and commercial companies and government agencies including the Ministry of Defence. Our Electronic Systems Design Centre and Digital Media Hub provide training and consultancy for a wide range of companies. Many of our research projects are collaborative, and we have well-developed links with institutions worldwide.
The Masters in Aerospace Engineering is a multi-disciplinary programme that covers all aspects of modern aircraft design. This involves developing essential knowledge and skills in advanced aerodynamics and aerospace systems. By choosing specific options in the second semester the degree programme can be tailored to provide specialisms in either Aeronautics or Systems.
Modes of delivery of the MSc in Aerospace Engineering include lectures, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.
The summer period is dedicated to project work, with either academic or industrial placements providing the context for your project.
Select a team project from:
Select five courses from the following:
* signifies courses that constitute the specialism in Aeronautics
** signifies courses that constitute the specialism in Systems
The Masters in Aerospace Engineering & Management introduces you to contemporary business and management issues while increasing your depth of knowledge in your chosen aerospace engineering speciality.
There are two semesters of taught material and a summer session working on a project or dissertation. September entry students start with management courses and January entry students with engineering courses.
You will be based in the Adam Smith Business School, developing knowledge and skills in management principles and techniques. We offer an applied approach, with an emphasis on an informed critical evaluation of information, and the subsequent application of concepts and tools to the core areas of business and management.
You will study engineering courses, which aim to enhance your group working and project management capability at the same time as improving your depth of knowledge in chosen aerospace engineering subjects.
You will undertake an individual project or dissertation work in the summer period (May–August). This will give you an opportunity to apply and consolidate the course material and enhance your ability to do independent work, as well as present results in the most appropriate format. Project and dissertation options are closely linked to staff research interests. September entry students have a choice of management dissertation topics in addition to aerospace engineering projects, and January entry students have a choice of aerospace engineering projects.
Career opportunities include positions in aerospace, defence, renewable energy, nuclear energy and management. You can also continue studying, for a research Masters or a PhD.
This Masters in Sensor and Imaging Systems (SIS) focuses on the technologies and techniques that underpin a vast range of societal, research and industrial needs. It is delivered and awarded jointly by the Universities of Glasgow and Edinburgh. Sensing and sensor systems are essential for advances in research across all fields of physics, engineering and chemistry and are enhanced when multiple sensing functions are combined into arrays to enable imaging. Industrial applications of sensor systems are ubiquitous: from mass-produced sensors found in modern smart phones and every modern car to the state-of-the-art, specialist high-value sensors routinely used in oil and gas recovery, scientific equipment, machine tools, medical equipment and environmental monitoring. This is an industry-focused programme, designed for people looking to develop skills that will open up opportunities in a host of end applications.
The programme comprises a mix of core and optional courses. The curriculum you undertake is flexible and tailored to your prior experience and expertise, your particular research interests, and the specific nature of the extended research project topic provisionally identified at the beginning of the MSc programme.
Graduates receive a joint degree from the universities of Edinburgh and Glasgow.
You will gain an understanding of sensor-based systems applicable to a whole host of markets supported by CENSIS.
Career opportunities are extensive. Sensor systems are spearheading the next wave of connectivity and intelligence for internet connected devices, underpinning all of the new ‘smart markets’, e.g., grid, cities, transport and mobility, digital healthcare and big data.
You will graduate with domain-appropriate skills suitable for a range of careers in areas including renewable energy, subsea and marine technologies, defence, automotive engineering, intelligent transport, healthcare, aerospace, manufacturing and process control, consumer electronics, and environmental monitoring.
Globally, the market for sensor systems is valued at £500Bn with an annual growth rate of 10%. The Scottish sensor systems market is worth £2.6Bn pa. There are over 170 sensor systems companies based in Scotland (SMEs and large companies), employing 16,000 people in high-value jobs including product R&D, design, engineering, manufacturing and field services.
Understanding all aspects of Human-Robot interaction: the programming that coordinates a robot’s actions with human action as well the human appreciation and trust in the robot.
At present, there are many sensors and actuators in every device – so they may become embedded in a physical reality. For robots that move around in a specific setting there is a pressing need for the development of proper methods of control and joint-action. The embedded, embodied nature of human cognition is an inspiration for this, and vice versa. Computational modelling of such tasks can give insight into the nature of human mental processing. In the Master’s specialisation in Robot Cognition you’ll learn all about the sensors, actuators and the computational modelling that connects them.
Making sense of sensor data – developing artificial perception – is no trivial task. The perception, recognition and even appreciation of sound stimuli for speech and music (i.e. auditory scene analysis) require modelling and representation at many levels and the same holds for visual object recognition and computer vision. In this area, vocal and facial expression recognition (recognition of emotion from voices and faces) is a rapidly growing application area. In the area of action and motor planning, sensorimotor integration and action, there are strong links with research at the world-renowned Donders Centre for Cognition.
At Radboud University we also look beyond the technical side of creating robots that can move, talk and interpret emotions as humans do. We believe that a robot needs to do more than simply function to its best ability. A robot that humans distrust will fail even if it is well programmed. Culture also plays a role in this; people in Japan are more open to the possibilities of robots than in, for example, the Netherlands. We will teach you how to evaluate humans’ attitudes towards a robot in order to use that information to create robots that will be accepted and trusted and therefore perform even better.
See the website http://www.ru.nl/masters/ai/robot
- We offer a great mix of technical and social aspects of robot cognition.
- This programme focuses on programming robot behaviours and evaluating them rather than building the robots themselves. We teach you to programme robots that will be used in close contact with human beings, for example in healthcare and education, rather than in industry.
- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.
- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.
- Together with the world-renowned Donders Institute, the Max Planck Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.
- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.
- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.
The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You could also cooperate with the Behavioural Science Institute and work in its Virtual Reality Laboratory, which can be used to study social interaction between humans and avatars.
An example of a possible thesis subject:
- Engaging human-robot interactions in healthcare for children and/or the elderly
Social robots are often deployed with 'special' user groups such as children and elderly people. Developing and evaluating robot behaviours for these user groups is a challenge as a proper understanding of their cognitive and social abilities is needed. Depending on the task, children for example need to be engaged and encouraged in a different way than adults do. What are effective robot behaviours and strategies to engage children and/or elderly people? How can these robot behaviours be evaluated in a proper way?
Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Philips, Siemens, Honda, Mercedes, Google. Some students have even gone on to start their own companies.
Examples of jobs that a graduate of the specialisation in Robot Cognition could get:
- PhD Researcher on Cognitive-Affective Modelling for Social Robots
- PhD Researcher on Automatic analysis of human group behaviour in the presence of robots
- PhD Researcher on Automatic analysis of affective quality of conversations in human-robot interaction
- Advisor and innovation manager in the healthcare industry
- Social robotics and affective computing for robots expressing emotions
- Developer of control algorithms for using optic flow in drones
- Advisor for start-up company on developing new uses for tactile displays
- Team member in design of emotion recognition and training for autistic children
Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Finland and the United States.
See the website http://www.ru.nl/masters/ai/robot
The course is applicable to students with a wide range of background skills in paediatrics and child health who require a detailed understanding of core research methodolgies, critical evaluationm evidence-based approaches and the scientific basis of childhood disease. The programme emphases not only the clinical aspects of paediatric care, but also the provision of care which will be imbued within the clinical modules.
There's also the opportunity to plan and excute a rigorous research project in an area of paediatrics and child health or related speciality (ie neonatology).
the course content has been carefully designed to train students to be high achieving consultants and clinical leaders of the future, by providing a blend of clinical knowledge with learning in the three key professional domains of research, leadership and communication and learning -along with the development of research and publishing skills.
Most modules are assessed by 3,000 word written assignments which are centred on case studies or a relevant optic agreed between the student and the module leader. Some modules include interactive role play and poster presentations as part of the assesment. The MSc is also assesed by a 12,000 word dissertation.