Funding your graduate study
Tuition fees
Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and registration and some student amenities. Research course fees are band 2.
Find your perfect research project here:
School of Engineering MPhil/PhD Scholarship
Eligibility
- Apply for the MPhil/PhD in the School of Engineering only to begin in October 2025;
- Applicants must be eligible for home fees (typically UK national)
Course Application Deadline - 13 January 2025 (GMT)
Scholarship Application Deadline - 24 January 2025 (GMT)
Chancellor's International Scholarship
Eligibility
- Apply for a PhD at the University of Warwick to begin in October 2025;
- Be assessed as 'overseas' for fees purposes. There are no other nationality criteria;
- Be from any discipline at Warwick.
Course Application Deadline - 9 December 2024 (GMT)
Scholarship Application Deadline - 12 December 2024 (GMT)
Research in Experimental Fluid Dynamics
Qualification: Doctor of Philosophy in Engineering (PhD)
Funding for: 3.5 years
Supervisor: Professor Peter Thomas
Course Application Deadline - 9 December 2024 (GMT)
Mathematical Signal Processing and Machine Learning approaches to understand and define the abnormal heart tissue responsible for fatal heart rhythms
Qualification: Doctor of Philosophy in Medicine (PhD)
Departments: Warwick Medical School and School of Engineering
Start date: Between December 2024 and March 2025
Eligibility: Open to UK students only
Innovative Steel-Timber (CLT) Composite Floor System
Qualification: Doctor of Philosophy in Engineering (PhD)
Funding for: 3.5 years
Supervisor: Professor Stephen Hicks
Atomic layer deposition of transparent conducting electrodes for silicon-based tandem photovoltaics
Qualification: Doctor of Philosophy in Engineering (PhD)
Funding for: 3.5 years
Supervisor: Dr Sophie Pain, Dr Nicholas Grant and Professor John Murphy
Course Application Deadline - 9 December 2024 (GMT)
GMNIA with strain limits based fire design of steel structures
Qualification: Doctor of Philosophy in Engineering (PhD)
Funding for: 3.5 years
Supervisor: Dr Merih Kucukler
Course Application Deadline - 9 December 2024 (GMT)
Complex droplet dynamics
Qualification: Doctor of Philosophy in Engineering (PhD)
Start date: 6th January 2025, 1st April or 6th October 2025
Application deadline: Apply today!
Artificial intelligence-assisted computational modelling of fracture
Qualification: Doctor of Philosophy in Engineering (PhD)
Funding for: 3.5 years
Supervisor:Dr Emmanouil Kakouris
Course Application Deadline - 9 December 2024 (GMT)
AI-driven decision-support analytics for structural life-cycle assessment
Qualification: Doctor of Philosophy in Engineering (PhD)
Funding for: 3.5 years
Supervisor: Dr Emmanouil Kakouris
Course Application Deadline - 9 December 2024 (GMT)
Scholarship Application Deadline - 12 December 2024 (GMT)
Supporting Document Deadline - 7 January 2025 (GMT)
Exploration of novel modelling approaches to establish the efficacy and safety of medicinal products and rare diseases in children
Qualification: Doctor of Philosophy in Engineering (PhD)
Start date: 6th January 2025
Application deadline: 8th November 2024
Cleaning up photovoltaics: Nanoscale protective coatings for solar glass
Qualification: Doctor of Philosophy in Engineering (PhD)
Start date: 6th January 2025, 1st April or 6th October 2025
Application deadline: Apply today!
Scholarships by country
Information on international scholarships/funding available in different countries can be found here
Multisensory assessment of built environment through immersive technologies
Qualification: Doctor of Philosophy in Engineering (PhD)
Start date: 6th January 2025
Application deadline: 1st December 2024
Machine Learning-based Low Latency Holographic-type Communications
Qualification: Doctor of Philosophy in Engineering (PhD)
Start date: 6th January 2025
Application deadline: 1st November 2024
This project aims to reduce the network latency of HTC with a focus on adaptive bitrate streaming (ABR) algorithm. Innovative machine learning (ML)/artificial intelligence (AI) approach will be designed to deliver point cloud data by jointly considering network conditions, computing capability, and end users’ experience. The proposed approach will be validated in both simulation and real-world HTC testbed. A use case of an immersive telesurgery will be demonstrated in collaboration with medical and hospital partners in the UK.
The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual’s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.