Master of Science in Health Analytics and Management (HAM)
The Master of Science in Health Analytics and Management (HAM) adopts an eclectic approach to design a professionally led course aimed at training a modern crop of workforce who has the skills to support the increasingly data-driven and digitalised healthcare sector.
This one-year, full-time, or two-year, part-time, interdisciplinary programme will equip students with data-driven management knowledge and skills. Working in collaboration, Lingnan’s Faculty of Business and its School of Graduate Studies have developed a curriculum which integrates theories and methods of healthcare and operations management, with the use of a variety of data analysis and modelling tools.
Why study the HAM Programme
Providing a data-driven boost to healthcare systems resilience
The HAM aims at providing students with data-driven management knowledge and skills to make informed decisions about healthcare and enhance efficient management of health service operations. The programme also intends to train students to develop a career-driven practical and research skills in health data analytics and operations management through the professional and technical knowledge.
Health data has grown exponentially. Graduates may explore career in a diverse mix of industries, companies and locations. For instance, government requirements would demand the improvement and maintenance of health data. Consumer electronic health data would increase the need for health analytics, as well as the massive growth of data e.g. through smart phone and other IoTs increase the need to better manage and utilize the data to make improvement multiple areas of healthcare. Health analytics skills are also instrumental to assist the decision making of what, when and how a new service should be offered or enhanced. Health analytics skills assist the detection of changes in health e.g. through self-measured blood pressure or mobility, reduce the cost of care e.g., reduce the risk of expensive health interventions, and other insights from health data.