University of Oxford

Overview

The University of Oxford offers a comprehensive PhD programme in Health Data Science through the EPSRC Centre for Doctoral Training. This four-year doctoral training programme begins with a structured training year, followed by immersive research placements, and culminates in three years dedicated to doctoral research focused on health-related data science.

• Award: PhD (doctoral training programme)
• Duration: 4 years (includes a training year)
• Delivery: Full-time
• Location: University of Oxford (Oxford, UK)
• Language of instruction: English

What you'll study

Training year (Year 1)

• Two terms of intensive training covering essential data science principles and methodologies.
• One term comprising two research placements (8 weeks each) in selected areas of study.

Doctoral research (Years 2–4)

• Three years of dedicated research, typically building upon one of the initial placement projects.
• Continuous supervision and involvement in Centre for Doctoral Training research and training activities.

Core curriculum (examples)

• Data Governance
• Computational Statistics
• Modern Statistical Methods
• Machine Learning
• Medical Imaging
• Deep Learning

Entry requirements

To apply, candidates should possess (or be predicted to achieve) a first-class or strong upper second-class undergraduate degree with honours in a relevant data science discipline. This background should include substantial mathematical components such as Mathematics, Statistics, Engineering Science, Computer Science, or a closely related field.

Standardised test scores such as GRE/GMAT and GPA requirements are not outlined for this programme.

Career prospects

Graduates of the Health Data Science PhD programme are well-equipped for a variety of careers within academia, healthcare, and industry. With a solid foundation in data science and its applications in health, they can pursue roles in research, data analysis, policy development, and beyond. Additionally, opportunities for further study and specialization are also available, allowing graduates to contribute significantly to advancements in health data science.