University of Warwick

What you'll study

This programme is offered with exit points at PGCert, PGDip and MSc levels and blends taught modules with practical, project-based learning. Core themes include diagnostic technologies and pathways, quantitative and qualitative health data analysis, machine learning for healthcare, digital health implementation and regulatory, ethical and economic considerations for diagnostics and digital interventions.

• Core modules (examples): Foundations of Diagnostics; Health Data Principles and Management; Applied Machine Learning for Health; Digital Health Systems and Service Design; Evaluation and Implementation of Diagnostics.
• Practical and technical modules: Clinical data wrangling and visualisation; programming for healthcare (Python/R); deployment of digital health tools; validation and performance assessment of diagnostic tests.
• Research and project work: PGDip students usually complete a practical group project; MSc students undertake an independent research project or industry-based dissertation, focusing on a diagnostic or digital-health question using real datasets or a technology demonstrator.
• Assessment: a mix of coursework, practical reports, presentations, exams and a substantial project/dissertation at MSc level.
• Mode and flexibility: modular delivery allows study by full-time or part-time routes and provides multiple exit points to suit those balancing work and study.

Entry requirements

Applicants are normally expected to hold a good honours degree (typically a UK upper second-class degree or equivalent) in a relevant subject such as biomedical science, medicine, computer science, engineering, statistics, mathematics or a closely related discipline. Applicants with substantial professional experience in healthcare, diagnostics, clinical laboratories, medical technology, or data science may be considered even if their academic background is from a different discipline.

• Applicants whose first language is not English will need to meet the University’s English language requirements.
• Selection may take account of reference letters, personal statement and relevant experience; some applicants may be invited to interview.
• For the MSc dissertation component, competence in quantitative methods or programming is advantageous; bridging modules are provided where appropriate to bring students up to speed.

Career prospects

Graduates are equipped for a range of roles at the interface of diagnostics, data and digital healthcare. Typical destinations include positions in NHS trusts and clinical laboratories, health technology assessment and commissioning, diagnostic and medtech companies, digital health start-ups, consultancy and health data analytics teams. The programme also provides a suitable foundation for further research at PhD level.

• Clinical and laboratory scientist roles focused on diagnostic development and validation
• Health data scientist, analytics or informatics specialist roles in hospital trusts or industry
• Product manager or clinical implementation lead within medtech and digital health companies
• Regulatory affairs, quality management and health technology assessment roles related to diagnostics
• Consulting and policy roles addressing deployment and evaluation of digital health interventions

Why study at University of Warwick

The University of Warwick offers an interdisciplinary environment that brings together clinical, data science and engineering expertise to address current challenges in diagnostics and digital health. Students benefit from applied teaching, access to diverse datasets and opportunities to work on industry-linked or NHS-relevant projects.

• Teaching draws on staff with expertise across health sciences, data science and computing, providing both theoretical foundations and applied skills.
• Strong links with local NHS partners, industry and technology incubators create opportunities for collaborative projects, placements and guest contributions from practitioners.
• Facilities and support include computing resources, data-management guidance, and research supervision to support practical projects and dissertations.
• The programme’s flexible structure allows practising professionals to upskill while continuing in employment and enables tailored study paths through PGCert/PGDip/MSc exit points.