City

What you'll study

This programme blends core data-science techniques with the practicalities of clinical information systems and health-care delivery. Teaching typically includes modules on biostatistics and epidemiology, machine learning for health, clinical informatics and electronic health records, data management and governance (including privacy, ethics and regulatory frameworks), and methods for evaluation of digital health interventions. You will study clinical decision support systems, service- and patient-level analytics, and interoperability standards used in health systems.

The course is delivered through a mix of lectures, hands-on practical labs using real-world or simulated health datasets, case studies drawn from NHS practice, and group work. You will also complete a substantial research or consultancy project/dissertation that applies analytical methods to a clinical or health-services problem, supervised by academic staff with clinical and technical expertise.

Entry requirements

• A good undergraduate degree (usually a 2:1 or equivalent) in a relevant subject such as computer science, statistics, mathematics, engineering, biomedical sciences, health sciences or a related quantitative discipline. Applicants with a lower-class undergraduate award but strong professional experience in healthcare informatics or data analysis may also be considered.
• Evidence of quantitative skills: prior study or demonstrable experience in statistics, programming (for example Python or R), or database work is normally expected.
• Relevant professional experience in healthcare, health IT, research or analytics is advantageous, particularly for applicants from non-traditional academic backgrounds.
• International applicants must meet English language requirements; typical offers require a recognised English qualification demonstrating ability to study at postgraduate level.
• All applicants are assessed on academic transcripts, references and a personal statement outlining their interest and suitability for clinical informatics and health-data work.

Career prospects

Graduates go on to roles combining clinical context with data skills. Typical positions include health data scientist, clinical informatician, clinical systems analyst, digital health analyst, data analyst within NHS trusts or healthcare companies, and roles in health-technology suppliers and consultancies. The programme also prepares students for research careers and PhD study in health informatics, data science for health or related fields.

Alumni find work in multidisciplinary teams involved in deploying and evaluating electronic health records, developing clinical decision-support tools, implementing population-health analytics, and supporting quality improvement and service redesign projects that depend on robust data pipelines and governance.

Why study at City

• City’s programmes sit at the interface of computing, data science and health, offering multidisciplinary teaching from academics with expertise in data analysis, clinical informatics and health services research.
• The university’s central London location and links with NHS organisations and health-tech partners provide opportunities for applied projects, guest lectures from practitioners and exposure to current clinical data challenges.
• Students benefit from practical, lab-based training in modern analytical tools and access to computing facilities and learning resources geared to postgraduate data work.
• The course is designed to balance methodological rigour with applied, clinically relevant experience so graduates can immediately contribute to digital-health initiatives and data-driven improvement in clinical settings.