Health Informatics - MSc Programme content
Key information
Key information
- Complete full-time in one year (90 ECTS)
- Blended delivery model designed to support both full-time students and working professionals
- Teaching is organised around a dedicated weekly teaching day, primarily on Fridays
- Modules are delivered during the Autumn and Spring semesters
Choose one of two specialist streams:
Health Data Science & Artificial Intelligence
Digital Health Innovation & Implementation
- Complete a 30 ECTS Health Informatics Dissertation during the Summer semester
- Graduate with a Master of Science (MSc) in Health Informatics
- Develop expertise in digital health, health data, artificial intelligence, healthcare innovation, and digital transformation
You will learn through a blend of
The MSc in Health Informatics combines academic learning with practical application to prepare graduates for contemporary digital health environments.
You will learn through a blend of:
- Lectures, tutorials, and workshops
- Hands-on laboratory activities
- Applied projects and case studies
- Research-led learning
- Reflective practice
- Independent and guided research
- Group discussion and collaborative activities
- Regular feedback from faculty and peers
- Dissertation supervision and mentoring
The programme emphasises practical, real-world application of knowledge and skills within healthcare and digital health contexts.
Programme content
The MSc in Health Informatics is delivered over three semesters and consists of core modules, specialist stream modules, and a final dissertation.
Students develop a common foundation in health informatics before specialising in one of two streams.
Core modules
- Research Methods in Health Informatics (CS6181) develops research design, literature review, data collection, analysis, interpretation, and presentation skills required for health informatics research.
- Applications of Artificial Intelligence in Healthcare (CS6604) explores AI technologies, machine learning, natural language processing, decision support systems, ethics, governance, and healthcare applications.
- Health Information Management (CS6622) introduces health data governance, interoperability, standards, databases, information management, and healthcare data infrastructures.
- Digital Health Applications and Services (CS6642) examines healthcare information systems, digital health technologies, health platforms, procurement, implementation, and evaluation.
Specialist Stream modules
Health Data Science & Artificial Intelligence Programming Fundamentals for Machine Learning (CS6601) introduces programming concepts, data preparation, visualisation, and machine learning using modern programming environments.
Digital Health Innovation & Implementation User-Centred Design for Healthcare (CS6701) focuses on human-centred design principles, usability, accessibility, user research, and healthcare technology design.
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules
Core modules
- Research Project (CS6262) supports students in preparing their dissertation through project scoping, proposal development, literature review, and research planning.
- Digital Health Change Management (CS6044) examines organisational change, project management, stakeholder engagement, implementation strategies, and digital transformation in healthcare.
Data-Driven Decision Making (CS6662) explores decision support systems, predictive analytics, low-code/no-code tools, clinical workflows, and evidence-based decision-making.
Health Data Science & Artificial Intelligence:
- Introduction to Deep Learning in Healthcare (CS6644) introduces neural networks, deep learning architectures, healthcare applications, feature engineering, and model evaluation.
Health Text Analytics and Natural Language Processing (CS6672) explores techniques for analysing and extracting insights from unstructured clinical and healthcare text data.
Digital Health Innovation & Implementation:
- Healthcare Design Thinking (CS6612) applies design thinking methodologies to healthcare innovation, service improvement, and digital solution development.
- Connected Health (CS6682) examines telehealth, remote monitoring, mobile health, interoperability, patient-centred care, and connected care ecosystems.
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules
Core modules
Health Informatics Dissertation (CS6103) facilitates students to produce a dissertation of 20,000-25,000 words based on a Health Informatics research topic.
Students complete a substantial independent research or applied project under academic supervision.
Projects may focus on areas such as:
Artificial intelligence in healthcare
Health data analytics
Digital transformation
Connected health
Clinical information systems
Human-centred design
Healthcare innovation
Health information management
The dissertation provides students with an opportunity to apply their learning to a real-world health informatics challenge and demonstrate mastery of their chosen area of specialisation.
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules
