The Intelligent Systems MSc degree course is designed to give graduates the understanding, practical knowledge and expertise to evaluate, design and build intelligent systems using an extensive range of tools and techniques.
The Intelligent Systems MSc will prepare you for work developing intelligent control and engineering systems. You will study Artificial Intelligence, Agents and Multi-agent Systems, Pattern Recognition, Computer Vision and Biologically Inspired Methods. There are also opportunities to explore a broad range of optional modules allowing you the freedom to develop your study pathway to reflect your interests.
You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from an individual project of 15,000 words.
For graduates in engineering, computing or a related scientific discipline, with a good knowledge of computer programming and mathematics, from this programme you will gain specialist training in designing, building and evaluating intelligent systems using a range of tools and techniques in preparation for a career in research or industry.
We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.
The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project will be assessed through a dissertation.
Our graduates have gone on to pursue successful careers in industry, commerce and academia.
MA Intelligent Mobility is a new 15-month, 240 credit programme that will succeed the existing MA Vehicle Design. It will be launched in 2017/18 alongside the Intelligent Mobility Lab, a new multidisciplinary research centre dedicated to the future of transportation design, systems and urban mobility, led by Director and inaugural Chair in Intelligent Mobility Professor Dale Harrow. MA Intelligent Mobility aims to place the RCA in the vanguard of the ‘third age’ of automotive design.
The MA Intelligent Mobility programme will comprise two distinct specialisms: Automotive Transitions and Urban Mobility. Automotive Transitions students will focus on using design thinking to develop innovative forms of transportation, such as autonomous vehicles. Urban Mobility students will focus on designing the systems and frameworks that enable people to move through hyper-connected cities. The programme will also acknowledge and explore solutions for the 80 per cent of people in developing or emerging economies who do not have access to transport.
The programme offers:
From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of topics in computer science.
Core modules will give you a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like bio-inspired computing or text analytics, or broaden your approach with topics like mobile app development.
You’ll gain a broad perspective on intelligent systems, covering evolutionary models, statistical and symbolic machine learning algorithms, qualitative reasoning, image processing, language understanding and bio-computation as well as essential principles and practices in the design, implementation and usability of intelligent systems.
You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.
We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Intelligent Wireless Networks for Healthcare at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The Department welcomes applications from students wishing to pursue graduate level research in Intelligent Wireless Networks for Healthcare.
Medical Engineering is the application of engineering principles to both the human body and to a broad range of instrumentation used in modern medicine.The courses at Swansea University draw on the exciting medical research that is taking place within the College of Engineering and the College of Medicine. The research success in the two colleges led to the creation of the £22 million Centre for NanoHealth (CNH), a unique facility linking engineering and medicine.
Our Medical Engineering graduates gain the skills of engineering, whilst also providing employers with the added experience and knowledge of anatomy and physiology, and the ability to communicate with clinicians.