University of Strathclyde

What you'll study

This master's combines technical modules in data, software and systems engineering with applied subjects in clinical workflows, policy and evaluation. You will study core topics such as health informatics and interoperability (standards and data models), digital systems architecture, clinical decision support and patient-facing technologies. Applied data modules cover health data analytics, machine learning for healthcare and data governance, including privacy, security and regulatory considerations.

The programme also emphasises service design, implementation and evaluation: modules address user-centred design, change management, and economic and clinical evaluation of digital interventions. Teaching methods typically include lectures, lab practicals, case studies drawn from NHS and industry, group projects and a substantial independent dissertation or industry project that lets you develop and test a real-world digital health solution.

Typical modules (indicative) include:

• Digital Health Technologies and Architectures
• Health Informatics and Interoperability (HL7/FHIR concepts)
• Health Data Analytics and Machine Learning
• Clinical Decision Support and Patient Safety
• Data Governance, Ethics and Cybersecurity in Healthcare
• Service Design, Implementation and Evaluation
• Research Methods and Dissertation or Industry Project

Entry requirements

Applicants are normally expected to hold a 2:2 or above honours degree (or international equivalent) in a relevant subject such as computer science, information systems, engineering, mathematics, biomedical sciences, nursing or another health-related discipline. Applicants with substantial professional experience in healthcare technology, clinical practice or health data roles may also be considered.

Applicants whose first language is not English will need to meet the University’s English language requirements; an accepted secure English language test at an appropriate level is normally required. Specific module prerequisites may apply for some applicants; where necessary you may be asked to take bridging material or pre-sessional courses.

Career prospects

Graduates enter a broad range of roles across the health and technology sectors. Typical job titles include clinical informatician, digital health analyst, health data scientist, product manager for health technologies, healthcare IT consultant, implementation specialist and roles in regulatory or quality assurance for medtech firms.

Employers include NHS boards and other health services, medtech and digital health companies, consultancy firms, public health agencies and research organisations. The programme also provides a pathway to further academic study, including PhD research in digital health, health informatics or related fields.

Why study at University of Strathclyde

Strathclyde has a strong practical and industry-facing focus, with established links to NHS Scotland, local health boards and a vibrant Scottish tech and medtech sector. The University’s facilities and research groups combine expertise in computing, engineering and health sciences, giving multidisciplinary supervision and project support.

Students benefit from hands-on lab sessions, opportunities for industry projects and access to enterprise and innovation support if they wish to commercialise ideas. The Glasgow location also provides access to a dense network of health technology companies, research institutes and clinical partners, enhancing opportunities for placements, collaborations and employment after graduation.