Data-Driven Engineering and Sciences
Entry requirements
As a minimum, applicants should hold or be predicted to achieve the following UK qualifications or their international equivalent: a first-class or strong upper second-class undergraduate degree with honours in engineering, mathematics, computer science, chemistry, physics, or related disciplines.
Months of entry
September
Course content
Data‑driven research is reshaping science and engineering, creating powerful new ways to understand and improve the world around us. This PhD in Data‑Driven Engineering and Sciences equips you to lead this transformation – combining scientific curiosity, advanced computation and collaborative problem‑solving to deliver real‑world impact.
We welcome ambitious graduates from across STEM who are motivated by discovery, creativity and teamwork. You’ll join a supportive and inclusive research community where diverse perspectives drive innovation. Whether your background is in mathematics, engineering, computing, physics or another quantitative science, we’ll help you build the expertise and confidence to tackle complex challenges and create solutions with lasting benefit.
Our researchers in the School of Engineering Mathematics and Technology work at the forefront of scientific machine learning, computational modelling, and large‑scale data engineering, applying these tools to areas such as healthcare, robotics, sustainable energy, financial technology, transport, and advanced materials. Through collaboration with leading academics and industry partners, you’ll gain the skills, professional network and leadership mindset to make a difference – in research, in industry and in society.
This is a programme for pioneers who want to shape new research directions, grow as part of a close‑knit cohort, and use data to create positive change. If you are ready to expand your expertise and lead in the data‑driven future, join us in redefining what’s possible.
Fees and funding
We have a number of University-funded studentships, which will be allocated to successful candidates (national and international). All studentships are funded at UKRI rates plus £2,000 and a further supplement for teaching activities.
Further information on funding for prospective UK and international postgraduate students.
Qualification, course duration and attendance options
- PhD
- full time48 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Prof David Barton
- david.barton@bristol.ac.uk