Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computing and Future Interaction Technologies at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
This Research Masters in Future Interaction Technologies and Human-Computer Interaction (HCI) teaches graduate students to go beyond simply building new software and hardware, to evaluating how they would be used, and how they can be improved.
The MRes is taught by the Future Interaction Technology (FIT) Lab, within the Computer Science. The FIT Lab’s mission is to explore and apply Advanced Computer Science to make interaction technologies dependable, enjoyable and effective. Interaction technologies include mobile devices, the Web, Web 2.0, implants, home TVs, microwave cookers, ticket machines, navigational aids, etc. Furthermore, we aim to work on grand challenges, like improving safety in healthcare, or developing technology to reach the millions and help us live more effective and sustainable lives.
Our Research Masters programme in Future Interaction Technologies mainly concludes of a large individual research project worth 120 credits. Inclusive of this 120 credits is training and experience provided by our Lab & Field Research Methods module. You will spend around 8 months preparing for and working on this extensive project, which provides key experience in performing research-oriented projects. As the MRes has a research focus, you will spend more independent research time building a strong knowledge of research literature and striving to make a novel contribution to the HCI community.
In addition to the research project, you can choose from a range of modules that provide skills and development training in different areas during your studies on the Computing and Future Interaction Technologies MRes.
Modules available currently include:
Human Computer Interaction Project
Interaction Technologies: Lab & Field Work (compulsory)
Interaction Technologies: Seminars & Readings (compulsory)
Research Methodology (compulsory)
Mobile Interaction Design
Interactive Systems Design
Interaction Technologies: Information Retrieval
Interaction Technologies: Hardware & Devices
The MRes in Computing & Future Interaction Technologies is ideally suited for continued academic research, but also provides the necessary skills and key experience to apply research methods in HCI practitioner positions in industry.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Human Computer Interaction at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
Computer Science is at the cutting edge of modern technology, and is developing rapidly and Swansea Computer Science graduates enjoy excellent employment prospects.
Computer Science now plays a part in almost every aspect of our lives - science, engineering, the media, entertainment, travel, commerce and industry, public services and the home.
The MSc by Research Human Computer Interaction enables students to pursue a one year individual programme of research. The Human Computer Interaction programme would normally terminate after a year. However, under appropriate circumstances, this first year of research can also be used in a progression to Year 2 of a PhD degree.
Students of the MSc by Research Human Computer Interaction programme will be fully integrated into one of our established research groups and participate in research activities such as seminars, workshops, laboratories, and field work.
The Department of Computer Science is amongst the top 25 in the UK, with a growing reputation in research both nationally and internationally. It is home to world class researchers, excellent teaching programmes and fine laboratory facilities.
All postgraduate Computer Science programmes will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.
The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.
As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.
The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.
We are ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).
This MSc Interactive Media Engineering course recruits graduates from a wide range of disciplines, although significant experience of computers is expected. This course aims to give you the theory and practice of the creation and applications of a wide variety of digital interactive systems.
Computer-based multimedia techniques are used to communicate a whole range of ideas in business, education, government, the arts and entertainment, and the aim of this course is to give you a clear understanding of the underlying principles and technical issues associated with developing computer systems that incorporate multimedia content.
Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.
This degree provides in-depth training for students interested in a career in industry or in research-oriented institutions focused on image and video analysis, and deep learning.
State-of-the-art computer-vision and machine-learning approaches for image and video analysis are covered in the course, as well as low-level image processing methods.
Students also have the chance to substantially expand their programming skills through projects they undertake.
Read about the experience of a previous student on this course, Gianmarco Addari.
This programme is studied full-time over 12 months and part-time from 24 to 60 months. It consists of eight taught modules and a standard project.
Example module listing
The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
This programme in Computer Vision, Robotics and Machine Learning aims to provide a high-quality advanced training in aspects of computer vision for extracting information from image and video content or enhancing its visual quality using machine learning codes.
Computer vision technology uses sophisticated signal processing and data analysis methods to support access to visual information, whether it is for business, security, personal use or entertainment.
The core modules cover the fundamentals of how to represent image and video information digitally, including processing, filtering and feature extraction techniques.
An important aspect of the programme is the software implementation of such processes. Students will be able to tailor their learning experience through selection of elective modules to suit their career aspirations.
Key to the programme is cross-linking between core methods and systems for image and video analysis applications. The programme has strong links to current research in the Department of Electronic Engineering’s Centre for Vision, Speech and Signal Processing.
To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.
We provide computing support with any specialised software required during the programme, for example, Matlab. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.
Specialist experimental and research facilities, for computationally demanding projects or those requiring specialist equipment, are provided by the Centre for Vision, Speech and Signal Processing (CVSSP).
Computer vision specialists are be valuable in all industries that require intelligent processing and interpretation of image and video. This includes industries in directly related fields such as:
Studying for Msc degree in Computer Vision offers variety, challenge and stimulation. It is not just the introduction to a rewarding career, but also offers an intellectually demanding and exciting opportunity to break through boundaries in research.
Many of the most remarkable advancements in the past 60 years have only been possible through the curiosity and ingenuity of engineers. Our graduates have a consistently strong record of gaining employment with leading companies.
Employers value the skills and experience that enable our graduates to make a positive contribution in their jobs from day one.
We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:
This course gives an excellent preparation for continuing onto PhD studies in computer vision related domains.
We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.
In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.
This technical MRes Electronic Systems Masters course will develop your research skills in electronic systems, enriching your prior learning and giving you the tools to succeed in your chosen specialism. The structure of this course allows you to choose modules and combine material from any of our taught master's courses in the School of Science and Technology and deliver an extended research project over a one-year period.
You will undertake a Research Methods module at the beginning of this course, which is designed to develop knowledge, skills and experience that will provide you with a firm foundation for your main research project. You then have the option to choose two further modules in order to develop specific technical knowledge relating to your research project. These can be selected from the full range of modules delivered across our computing and technology taught Master's courses.
Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.