COMPUTER SCIENCE BAY CAMPUS
• Artificial Intelligence • Big Data and Machine Learning • Choice of Topics Relating to Law, Healthcare, and Factories of the Future • Critical Systems • Data-structures and Architectures • Human-centred Evaluation and Analysis • Human-centred Perspectives and Methods • Industrial Partner Case Studies • Interfaces and Modalities • Trust, Argumentation and Verification • Visual Analytics *IELTS 6.5 (with a minimum of 6.0 in each component) RESEARCH COURSES Entry Requirements Typically a 2:1 honours degree or a master's degree with 'Merit' in computer science or related subject. English Language Requirement IELTS 6.5 (minimum of 6.0 in each component) or Swansea University recognised equivalent. COMPUTING AND FUTURE INTERACTION TECHNOLOGIES MRes FT PT The MRes is taught by the Future Interaction Technology (FIT) Lab within Computer Science. The FIT Lab’s mission is to explore and apply Advanced Computer Science to make interaction technologies dependable, enjoyable and effective. Furthermore, we aim to work on grand challenges, like improving safety in health care, or developing technology to reach
• Blockchain, Cryptocurrencies and Smart Contracts • Critical Systems • Embedded System Design • Information Security Management • Invention and Innovation in Computing • IT-Security: Cryptography and Network Security • Security Vulnerabilities and Penetration Testing • Web Application Development HUMAN-CENTRED BIG DATA AND ARTIFICIAL INTELLIGENCE MSc FT You will be trained in adventurous and exciting computational science, working on real-world challenges that will transform society and the economy. While there are valid concerns about what impact big data and artificial intelligence might have on individuals, communities, jobs and society, this programme focuses on human potential, needs, desires and cares, and how these motivations can be used to drive innovation. You will undertake your major project in collaboration with one of our world-class partners (including Google, Facebook, NHS, Tata Steel, Ford, Microsoft and many more), and also take part in a range of additional skill-enhancing activities such as sandpits, retreats and focused training events. As part of a close-knit cohort, students will learn human-centred methods, grounded in a broad range of theoretical, experimental, domain and methodological perspectives to understand how these can amplify and enhance human potential in big data and AI. Modules typically include: • Abuses, Biases and Blessings of Data
CYBER SECURITY MSc FT PT Our increasingly connected world presents continual new and serious security threats. From privacy violations (hacking, monitoring communications, leaking sensitive data, stealing and publishing private information) through to the drugs trade, sex trafficking and terrorism, Swansea's expert Computer Science staff can provide the techniques required for mitigating such risks, in order to provide secure, reliable and trustworthy systems. In this MSc we take a holistic and interdisciplinary approach, bringing together modules on diverse topics such as penetration testing, formal modelling, information security management, cryptography and AI in order to equip our students with a suitable mindset for a career in cyber security. Our Cyber Security Lab provides the perfect backdrop for exploring the security landscape, allowing students and staff to carry out experiments in network security, mobile security, and to explore threats and defence mechanisms in the context of the Internet of Things. Following the taught component of the course, students will carry out a substantial research project which involves using and exploring cutting-edge techniques for specifying, developing, verifying and accessing systems against security criteria. Students will benefit from our broad range of industrial partners and internationally leading research expertise. Modules typically include: • Advanced Topics: Artificial Intelligence and Cyber Security
90
Made with FlippingBook flipbook maker