Global ranking recognises our excellence in computer science

Essex has again been ranked in the global top 200 universities for computer science thanks to our ongoing growth and investment in new facilities and staff.

For the second year running, Essex is ranked in the 176-200 bracket of the Times Higher Education World University Rankings by Subject for computer science.

Our School of Computer Science and Electronic Engineering (CSEE) has an international reputation for the outstanding quality of our research, which is grouped into two themes: artificial intelligence (AI) and communications systems.

With two research centres, our Institute for Analytics and Data Science, and six research groups, we carry out groundbreaking work in our specialist fields. Research carried out in CSEE is interdisciplinary, with strong connections with other departments across the university, and is supported by our extensive range of research laboratories and facilities.

Professor Anthony Vickers, Head of our CSEE, said: “Once again, as a result of great work by a dedicated team of academics, technical staff and administrators, as well as a collaborative student body, we are acknowledged as one of the top 200 computer science schools in the world.

“As the Head of School I am immensely proud of retaining our world ranking. We have a great team spirit with a focus throughout on creativity and imagination.”

Essex is now third in the UK for the number of KTPs (Knowledge Transfer Partnerships) with 34 business partners from across London and the East of England. Through our KTPs, we are helping businesses solve real-world challenges using our expertise in a range of areas including AI, data science and robotics.

“We work closely with the local, national, and global business community to solve problems and ensure that our graduates have all the skills needed to generate economic growth,“ added Professor Vickers. “In research we are at the forefront of blue sky research in artificial intelligence for decision making, communications and networks, natural language and information processing, neural engineering, robotics and mechatronics, and embedded and intelligent systems."