Health Informatics with Data Science University of Leeds

Overview

The global healthcare sector is currently facing an unprecedented challenge, with demand outstripping supply. This situation has led to a pressing need for innovative IT solutions within the industry. Consequently, healthcare providers and leading corporations are heavily investing in technology, resulting in a significant demand for professionals skilled in health informatics and data science.

The MSc in Health Informatics with Data Science at the University of Leeds offers an in-depth exploration of this vital field. The programme is designed for recent graduates, providing them with a comprehensive understanding of health informatics and healthcare solutions. With a curriculum tailored to meet industry requirements, students will delve into pivotal areas such as artificial intelligence and machine learning, thereby acquiring skills that are highly sought after by employers.

At Leeds, students will engage with a forward-thinking approach to health informatics, integrating statistics and computer science with a focus on patient welfare and evidence-based healthcare. The programme addresses both human and technical challenges prevalent in healthcare, ensuring that graduates are well-prepared to tackle the complexities of the field.

Why Health Informatics with Data Science at University of Leeds?

Students will gain insights into fundamental statistical, social, and governance concepts, while also adopting a multidisciplinary perspective that encompasses health economics and behavioural sciences. The University has cultivated a robust national and international reputation in health informatics and data science through years of dedicated teaching and research.

Faculty members are actively involved in various research initiatives aimed at enhancing and reimagining NHS services to better serve patients. The development of research capabilities in health informatics and data science is a key priority for the UK's National Institute for Health Research (NIHR), with staff contributing their expertise to the NIHR Academy’s Research Methods Incubator. Students will have the opportunity to engage with and influence the health informatics and data science agenda.

Moreover, the University’s prime location offers additional advantages. The Leeds Teaching Hospitals NHS Trust is the largest hospital trust in the UK, and the city is home to numerous Department of Health organisations, including NHS Digital and NHS England, which have historically provided guest speakers for the course. Leeds also boasts a thriving digital economy, featuring prominent healthcare technology providers such as TPP (SystmOne) and EMIS.

Syllabus

The programme comprises 180 credits, including six core modules and a research project, along with two optional modules from a selection in Health Informatics, Data Science, or Health Sciences. This structure allows students to tailor their studies according to their interests. The research project provides a platform for practical application of learned concepts, enabling students to work closely with a supervisor and focus on an area relevant to their personal and professional growth.

• Statistics and Modelling for Health Sciences – core statistical techniques for analysing health data.
• Health Data – fundamentals of health data sources, structure and management.
• Human Factors in Health Data Science – understanding how humans interact with health data systems.
• Informatics and Data Science in Health Care and Research – central principles of health informatics and data science applications.
• Law, Ethics and Governance for Health Data Science – legal, ethical and governance frameworks for health data use.

Careers with Health Informatics with Data Science

This dynamic course prepares graduates for specialised roles in health informatics or health data science. It is particularly beneficial for health service employees aiming to enhance their careers with data science skills. Alumni have successfully transitioned into various positions within health management, analytics, and informatics, with some establishing their own digital health ventures or pursuing further academic research.