48 monthsProgramme duration
27,500 GBPTuition Fee/year
01 Mar, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Engineering - General
Degree
PhD
Study Level
PHD
Study Mode
On Campus
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.
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.
Programme overview
Main Subject
Engineering - General
Degree
PhD
Study Level
PHD
Study Mode
On Campus
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.
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.
Admission Requirements
88+
67+
6.5+
168+
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.
Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree (or international equivalent). Applicants with a non-traditional background may be considered provided they can demonstrate substantial equivalent and relevant experience that has prepared them to undertake their proposed course of study.
English language requirements
If English is not your first language, you will need to reach the requirements outlined in our profile level E.
Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree (or international equivalent). Applicants with a non-traditional background may be considered provided they can demonstrate substantial equivalent and relevant experience that has prepared them to undertake their proposed course of study.
English language requirements
If English is not your first language, you will need to reach the requirements outlined in our profile level E.
01 Mar 2026
4 Years
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
5,106 GBP
International
27,500 GBP
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