The University of Southampton

“I compared a number of UK universities and the University of Southampton offered all the things I was looking for - a variety of modules, great employability rates, modern computer labs and a relaxed and friendly environment.”

Vezika Kotelska, - Technology Graduate Engineer at American Express, BSc Computer Science, 2019

Be prepared for challenges not yet imagined and jobs not yet thought of with our research led teaching and exceptional industry connections.

  • 7 May 2021

    Southampton AI experts host leading...

    Global experts in artificial intelligence (AI) and autonomous agent systems are unveiling ground-breaking advances in their field at an online international conference hosted by the University of Southampton.

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  • 6 May 2021

    AI simulations model carbon tax to help inspire...

    Artificial Intelligence technologies from the University of Southampton are helping to deliver more efficient shipping by providing insights, derived from millions of simulations, on the most effective strategies to achieve net-zero targets.

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  • 26 April 2021

    Southampton students invent 'cookie cutter' to...

    Student entrepreneurs from the University of Southampton have created a free browser tool that automatically manages cookie pop-ups without sacrificing data privacy.

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  • Our research

    Research in Electronics and Computer Science is at the cutting-edge of knowledge, working on solutions to some of today's toughest challenges.

    Research excellence

    100% of our Computer Science research impact is world-leading or internationally excellent

    Centres of Excellence

    Researchers from across Engineering and Physical Sciences are addressing national and global challenges in four new Centres of Excellence. These Centres are cross-disciplinary and will forge new links that transform the research landscape.

  • This week, have been hosting the 20th International Conference on Autonomous Agents & Multiagent Sy… https://t.co/BWUzKnXzv1

    @ECSUoS - 1 day 6 hours ago
  • RT : As part of the Shell-Southampton Centre for Maritime Futures (https://t.co/cQfRdpFAHD), we are working on AI-based… https://t.co/TzyzbbpwjU

    @ECSUoS - 1 day 10 hours ago
  • In collaboration with , our researchers are using Artificial Intelligence to help deliver more efficien… https://t.co/QpBG43pkYy

    @ECSUoS - 1 day 10 hours ago
  • Publications archive

    Latest ECS Publications

    Diagnostic accuracy of Loop mediated isothermal amplification coupled to Nanopore sequencing (LamPORE) for the detection of SARS-CoV-2 infection at scale in symptomatic and asymptomatic populations. - Anetta Ptasinska, Celina M. Whalley, Andrew Bosworth, Charlotte Poxon, Claire Bryer, Nicholas Machin, Seden Grippon, Emma L Wise, Bryony Armson, Emma L. A. Howson, Alice Goring, Gemma Snell, Jade Forster, Christopher Mattocks, Sarah May Frampton, Rebecca Anderson, David Cleary, Joe Parker, Konstantinos Boukas, Nichola Graham, Doriana Cellura, Emma Garratt, Rachel Skilton, Hana Sheldon, Alla Collins, Nusreen Ahmad-Saeed, Simon Friar, Daniel Burns, Tim Williams, Keith Godfrey, Zandra Deans, Angela Douglas, Sue Hill, Michael Kidd, Deborah Porter, Stephen P. Kidd, Nicholas J Cortes, Veronica L. Fowler, Tony Williams, Alex G. Richter and Andrew D. Beggs
    Type: Article | 2021 | Item availability restricted.
    Efficient light harvesting in hybrid quantum dot-interdigitated back contact solar cells via resonant energy transfer and luminescent downshifting - Chirenjeevi Krishnan, Thomas Mercier, Tasmiat Rahman, Giacomo Piana, Mael Brossard, Timur Yagafarov, Alexander To, Michael E. Pollard, Peter Shaw, Darren M. Bagnall, Bram Hoex, Stuart A. Boden, Pavlos G. Lagoudakis, Martin D. B. Charlton, Peter Shaw and Peter Shaw
    Type: Article | 2019 | Item not available on this server.
    A survey on the susceptibility of PUFs to invasive, semi-invasive and noninvasive attacks: challenges and opportunities for future directions - Mohd Syafiq Mispan, Basel Halak and Mark Zwolinski
    Type: Article | 2021 | Item availability restricted.
    Data from: The architecture of an empirical genotype-phenotype map
    Type: Dataset | 2018 | DRYAD | Item not available on this server.
    Data from: An integrated framework to identify wildlife populations under threat from climate change
    Type: Dataset | 2017 | DRYAD | Item not available on this server.