Application period/deadline: November 1, 2017 - January 24, 2018
• Research-oriented degree provides an exciting opportunity to study in a leading-edge research environment
• The studies combine both theoretical and practical approach
• Specializations in Applied Computing, Artificial Intelligence, and Computer Egineering
The International Master’s Degree Programme in Computer Science and Engineering (CSE) is a two-year research-oriented programme concentrating on intelligent digital solutions to real world problems. During the past decades, Computer Science and Engineering has had a significant impact into our daily lives. The development continues and soon computers will not be used as separate devices anymore. Instead they will blend into our living environments and offer us rich sets of services through natural and intuitive user interfaces. The graduates from Computer Science and Engineering will play a key role in this development.
The two-year programme has three specialisation options:
• Applied Computing
• Artificial Intelligence
• Computer Engineering
Applied Computing focuses on the next generation of interactive systems that place humans at the focus of the technological development. Adopting a multidisciplinary real-world approach, students have to spend a substantial amount of time working in group projects to develop a variety of systems ranging from interactive online services to games and mobile applications, with a strong focus on innovation and design.
Artificial Intelligence focuses in various fields of AI, such as machine learning, machine vision, and data mining. This specialisation provides students with a solid theoretical understanding and practical skills on processing and analyzing digital data and the ability to create intelligent solutions to real world problems with modern AI techniques.
Computer Engineering focuses on both hardware and software aspects of computing with emphasis on embedded system development. In this specialisation, students also study signal processing and its applications, and work with projects on modern signal processors and embedded computers. The specialisation gives the students a good basis to work with Internet of Things (IoT) applications.
In addition to the core specialization options, students can take optional courses to widen their specialization expertise into:
• Biomedical signal analysis
• Machine learning
• Machine vision
• Signal processing
• Embedded systems
• Ubiquitous computing
This Master’s programme is provided by the Faculty of Information Technology and Electrical Engineering, and students are strongly encouraged to work closely with research groups in the faculty that are international leaders in their fields. The Center for Machine Vision and Signal Analysis (CMVS) is renowned world-wide for its 35 years of expertise in computer vision research. The Center for Ubiquitous Computing (UBICOMP) has created a unique research environment for Ubiquitous Computing including multitouch wall-sized displays, smartphone sensing middleware and sensor networks. Biomimetics and Intelligent Systems Group (BISG) is a fusion of expertise from the fields of computer science and biology. During the studies the research groups provide students trainee and master’s thesis positions, with the possibility to continue as a doctoral student, and even as a post-doctoral researcher.
The programme will provide the graduates with sufficient skills to work in a wide variety of positions offered by research institutes and companies mainly operating in the field of information and communications technology (ICT). The graduates are most likely to be employed in research and development related positions, but also management positions and entrepreneurship fit into the profile.
Possible titles include:
• Research Scientist
• Software Engineer
• System Designer
• Project Manager
Students applying for the programme must possess an applicable B.Sc. degree in computer science, electrical engineering or relevant fields such as physics or applied mathematics.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Digital Humanities at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
Digital Humanities at Swansea has research strengths in innovative digital applications and critical studies of digital culture in several fields, where researchers in Arts, Humanities and Social Science areas are collaborating with Computer Scientists. These fields include applications and devices for the UK and international heritage sector, intellectual and literary history, digital editing, innovative mapping applications, applied linguistics and translation, digital mass media and experimental media, online cultures, digital pedagogy, digital security, war and crime, and societal impacts of digital technologies in both the rich and poor worlds. We are home to the Centre on Digital Arts and Humanities (CODAH), which connects arts and humanities, social science and computing researchers.
An MA by Research in Digital Humanities gives you the chance to pursue a project based around your own passions and interests, leading to a qualification which can open the door to an academic career or boost employment prospects outside academia (typically in the private sector, the Civil Service, or education).
The MA by Research in Digital Humanities will give you the freedom to explore a topic of your choosing and develop a methodology under the close supervision of two experienced academics but without attending regular classes as required in taught programmes.
You will be supervised closely by two experienced academics in your field. Typically, you will meet them fortnightly in the first term and at regular intervals thereafter. Meetings are logged and goals agreed each time.
All research students in Digital Humanities are required to attend skills and training courses at College and Institutional level. They give presentations to other research students and staff at departmental seminars and the annual departmental postgraduate symposium in June and the College of Arts and Humanities conference in October. Advanced research students may have opportunities to teach undergraduate tutorials and seminars. You have a budget (currently £200 per year) to attend conferences outside Swansea.
Digital Humanities boasts a dynamic research and teaching environment which has already won attention and funding from outside bodies such as the Coleg Cymraeg Cenedlaethol, the Arts and Humanities Research Council (AHRC), Wellcome Trust and the EU, most recently a multi-million EPSRC grant for “CHERISH-DE”.
COAH staff with relevant expertise are located within all the COAH Departments (Languages, Translation and Communication; English Language and Literature; History and Classics; Political and Cultural Studies). COAH staff work closely on digital research with staff in other Colleges, especially the College of Science (home to Computer Science, Geography), the College of Human and Health Science (Psychology, Public Health, Health Data), the College of Law (Criminology).
Computer Science research at Swansea has particular strengths in human-computer interaction, ubiquitous computing, devices for resource-constrained communities, medical applications and informatics, visual computing, data visualisation, theoretical computer science.