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Empowering Innovations in Informatics: Driving an Interdisciplinary Future

Explore a cutting-edge hub of academic excellence in informatics. Enroll in dynamic PhD, MSc, and undergraduate programs with a focus on Software Engineering, Computer Science, and other joint pathways like AI and Cog Sci. Interact with a diverse team of 100+ academic staff, 150+ postdoc researchers, and supportive staff. Join a vibrant community of 250 PhD students, 200 Masters students, and 400 undergraduates. Discover the world-class research landscape covering databases, quantum computation, machine learning, robotics, and more. Unleash your potential in a transformative institute shaping a new era of information science.

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Empowering Innovations in Informatics: Driving an Interdisciplinary Future

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  1. Welcome to Informatics

  2. People On the premises: • PhD: ~70 per year • MSc: ~200 per year • Undergraduate: ~100 per year • 20% Software Engineering • 50% Computer Science • 30% Other joint programmes • (AI, Cog Sci,Maths, etc). • ~ 100 Academic staff • ~ 150 Postdoc researchers • ~ 80 Support staff • ~ 250 PhD students • ~ 200 Masters students • ~ 400 Undergraduates (200 1st year) Graduating students:

  3. RAE Top 10 CS/Informatics Universities World leading Internationally excellent 69% more top rated research than nearest competitor 10% of all UK “world leading” research www.rae.ac.uk

  4. ProspeKT + Informatics Ventures AspeKT + CGES + Design Informatics Edinburgh holds UK record for number of university spinoff companies in last 10 years. Informatics, if it was a university, would come 4th in UK. spinoutsuk.co.uk

  5. Edinburgh Start-up Ecosystem Silicon Walk Waverley Gate Appleton Tower Evo House Quartermile Techcube

  6. Foundations for a new science • The science of information – how natural and artificial systems process, store and communicate information • A fundamental science underpinning all areas of life - Academic, Industrial and Social. • Encompasses sub-disciplines such as Computer Science, Artificial Intelligence and Cognitive Science This view of informatics is necessary because: Big technological problems are multi-disciplinary Big societal problems demand integrative science

  7. Our research landscape Databases Multimodal interaction Semantics & discourse Quantum computation Algorithms & complexity Verification & security Speech synthesis and recognition Automated reasoning & knowledge engineering Algebra, games & concurrency Cognitive modelling Software engineering Systems modelling information extraction Graphics and animation Multi-agent systems and planning Bioinformatics Data- intensive research Large scale natural language processing Computer vision Robotics Machine learning Computer systems architecture Wireless sensor networks Neuro- informatics

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