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.
Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming, as well as the basic principles of automated reasoning, machine learning and how computers can be made to represent knowledge.
From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as image analysis, cloud computing, graph theory and developing mobile apps.
Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.
Want to find out more about your modules?
Take a look at the Advanced Computer Science (Intelligent Systems) module descriptions for more detail on what you will study.
Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.
Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.
You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.
The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.
Recent projects for MSc Advanced Computer Science (Intelligent Systems) students have included:
A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.
Computing is an essential component of nearly every daily activity, from the collection, transformation, analysis and dissemination of information in business, through to smart systems embedded in commodity devices, the image processing used in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.
This programme will give you the practical skills to gain entry into many areas of applied computing, working as application developers, system designers and evaluators; but further, links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well prepared for a range of careers, as well as further research at PhD level.
Graduates have found success in a wide range of careers working as business analysts, software engineers, wed designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.
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:
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.