Welcome to StatML
A world leading centre for doctoral training shaping the next generation of researchers in statistics and machine learning.
What is StatML?
The EPSRC Centre for Doctoral Training in Statistics and Machine Learning at Imperial and Oxford (StatML) combines two of the UK’s foremost institutions in the field, with a diverse group of industrial and international partners, to shape the next generation of researchers in statistics and machine learning.
We train future researchers, diverse in their backgrounds and perspectives, to develop novel methodology and theory and create application-specific methods, leading to breakthroughs in real-world problems in science, government, medicine, and industry. Our exciting training programme empowers students with the advanced technical and practical skills required to provide real-world impact, solve critical global challenges and create society- changing technologies.
Doctoral programme
StatML is a four-year, fully funded, cohort-based doctoral training centre, with part-time study options available. Our structured programme equips students with the foundational skills and knowledge needed to conduct impactful, ethical, and responsible research. In addition to advanced training in statistics, machine learning, computing, and communication, students engage in first-year mini-projects that allow them to explore different research areas and shape their PhD journey. This is further enriched by a range of scientific and networking events. Learn more about our programme here.
Admissions
StatML Applications for 2026 are now open!
StatML’s main admission cycle is now open for 2026-27. Explore our admission process, timeline and institutional policies in preparation for entry in 2026!
You've got a question about StatML's admissions? Join one of our online Q&A and with one of the directors and ask away!
Admission online Q&A No 1
6th November 2025
9.30am UK time
With François Caron from the department of Statistics, University of Oxford
Register here!
Admission online Q&A No 2
27th November 2025
1pm UK time
With Ed Cohen from the department of Mathematics, Imperial College London
Register here!
Admission online Q&A No 3
18th December 2025
4pm UK time
with Sarah Filippi from the department of Mathematics, Imperial College London
Register here!
Our students
Discover the breadth of background and research interests of our cohorts by exploring our students’ page.
Kitty Knight
2025
University of Oxford
Angus Phillips
2021
University of Oxford
Georgy Tyukin
2025
Imperial College London
Toby Boyne
2023
Imperial College London
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https://uk.linkedin.com/company/statmlio
Industry & academic partners
StatML has an extensive network of partners across a number of technology sectors and academia to support students and offer additional value to the CDT via internships, placements and studentships.