COMPUTER SCIENCE BAY CAMPUS
partners and internationally leading research expertise.
and finishes in Grenoble – and the available specialisms are: • Advanced Information Systems and Software Engineering • AI and the Web • Graphics, Vision and Robotics • Data Science • High-confidence Embedded and Cyberphysical Systems • Parallel, Distributed and Embedded Systems • Ubiquitous and Interactive Systems
and enhance human potential in big data and AI. Modules typically include: • Abuses, Biases and Blessings of Data • 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) COMPUTER SCIENCE: INFORMATIQUE MSc (SWANSEA AND GRENOBLE ROUTES) FT Swansea University and Université Grenoble Alpes offer two Dual Award MSc degrees in Computer Science: Informatique. Both lead to degrees from both Universities and both are two years long – one year in Swansea, and one year in Grenoble. The degrees are normally taught in English but you can choose to study in French if you are sufficiently fluent. The Grenoble route scheme starts in Grenoble and finishes in Swansea – and the available specialisms are: • Big Data, Graphics and Visualisation • Mobile Systems • Software Technology • Theory and Foundations The Swansea route starts in Swansea
Modules typically include: • Advanced Topics: Artificial
Intelligence and Cyber Security • 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
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