Digital Technology

The Bayes Centre is a new hub for technological development within the University.

The Bayes Centre acts as a focal point for the Data Driven Innovation programme. It focuses primarily on  digital technology, while also providing a base for other aspects of the DDI such as Robotics and Space and Satellites.

What is Digital Tech?

Digital tech here is used as an umbrella term to describe much of the work that is taking place at the Bayes Centre. Their strategic themes include, amongst others:

  • The Internet of Things
  • Data Science
  • Cybersecurity

The Bayes Centre is bringing  the latest research together with enterprise and education, embracing data-science and creating huge impact.

Professor Michael Rovatsos is the head of the Bayes Centre and a lecturer at the Scool of Informatics. Learn more from him about Bayes and its work with Digital Tech:



You can read more at the brand new Bayes Centre website.

News at the Bayes Centre.


The Bayes Centre is overseeing data science education and training through the newly established Data Science Education Centre of Excellence. The Centre acts as a hub for data education at the University, identifying and addressing possible gaps in the data education of the student body. This way, all students will emerge from their degree studies equipped to deal with a world that is increasingly reliant on data.

The Data Science Education Centre of Excellence

The Centre is also establishing new MSc and PhD programmes in data science.

The new data science courses

How to Get Involved 

The Centre has set up an Expert Register.  Students and staff are welcome to sign up if they are interested in getting involved in projects at the Bayes Centre. This includes those from non-scientific backgrounds.

The Bayes Centre Expert Register

The education team at Bayes is interested to hear from you and welcome enquiries. You can contact them at

What Skills do I need ?

Anyone with quantitative skills will be able to contribute to digital tech. Those with a social science background, particularly Philosophy or Sociology, are well placed to contribute to the debate around artificial intelligence and data ethics. This area is of significance in almost every scientific area that the Centre covers. Motivation and a sense of entrepreneurship will help anyone from any sector to get a stake in this business.

Take a look at Prospect's overview of the Information Technology sector.