Undergraduate degrees
Create your future with degrees developed and taught by world leading experts within ECS
“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.”
Be prepared for challenges not yet imagined and jobs not yet thought of with our research led teaching and exceptional industry connections.
Postgraduate taught degrees
Postgraduate research
AI insight identifies England U21s prospect as...
Machine learning algorithms developed by computer scientists from the University of Southampton have pinpointed a transfer target that would most suit Southampton FC in the January transfer window.
Read MoreSouthampton expertise to extend life of...
Electronic engineers at the University of Southampton are helping optimise the performance of a new wearable technology for the construction industry.
Read MoreSouthampton 'space archaeology' solution...
Postgraduate researcher Iris Kramer from the University of Southampton is being supported by the Royal Academy of Engineering as she scales deep learning software that identifies buried ancient sites from space.
Read More
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
Leading the world in gait biometrics
We are at the forefront of research into gait biometrics that identifies and recognises people by the way they walk
Centre of excellence for energy harvesting devices
Our pioneering research into energy harvesting has had a significant impact on the economy, public policy and international standards
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.
Continuous Digital Chemical Engineering Science
CDCES is developing smarter, greener and more efficient processes for the discovery and manufacture of new chemicals and materials.
Future of Human Communication
FHC is dedicated to developing digital technologies that will help people to communicate better.
In-situ and Remote Intelligent Sensing
IRIS is the world’s only research hub dedicated to developing intelligent, connected, self-powered sensing systems.
Re-engineering for Electric Mobility
RE4EM is accelerating the development of sustainable, interconnected electric transport systems.
The PeRSo, developed by @ECSUoS and @UoSEngineering, is a comfortable protective hood with a fresh air supply which… https://t.co/oM3nbreBtA
RT @unisouthampton: With the @ucas_online application deadline fast approaching, our @UoSEngineering @ECSUoS @UoSChemistry &… https://t.co/8Osh2e1ssa
Congratulations 👏👏👏@ickkramer Read about the new technology that can help construction planners spot historic sit… https://t.co/B0JGmFcvWj
Latest ECS Publications
Type: Dataset
| 2021
| University of Southampton
2D direction of arrival estimation of multiple moving sources using a spherical microphone array - Alastair H. Moore, Christine Evers and Patrick A. Naylor
Type: Conference or Workshop Item
| 2016
| European Signal Processing Conference, EUSIPCO
| Item not available on this server.
Speaker localization with moving microphone arrays - Yuval Dorfan, Christine Evers, Sharon Gannot and Patrick A. Naylor
Type: Conference or Workshop Item
| 2016
| European Signal Processing Conference, EUSIPCO
| Item not available on this server.
Direction of arrival estimation using pseudo-intensity vectors with direct-path dominance test - Alastairh Moore, Christine Evers, Patrick A. Naylor, David L. Alon and Boaz Rafaely
Type: Conference or Workshop Item
| 2015
| Institute of Electrical and Electronics Engineers Inc.
| Item not available on this server.
Enhancing the biological relevance of machine learning classifiers for reverse vaccinology - Ashley Heinson, Yawwani P Gunawardana, Bastiaan Moesker, Carmen C. Denman Hume, Elena Vataga, Yper Hall, Elena Stylianou, Helen Mcshane, Ann Williams, Mahesan Niranjan and Christopher H. Woelk
Type: Article
| 2017