Digital Public Health

 

The study program

Why does one person get sick and the other does not? How can diseases be prevented and health promoted? How can we improve prevention and care through digital technologies? What impact does digitalization have on health in our living environments and how can we use digital health technologies in line with needs and requirements? These and similar questions are the subject of Digital Public Health.
The discipline expands the previous population-based perspective of Public Health, taking into account the continuous change in our living environments due to digitalization. In this sense, Digital Public Health is a subject that is both interdisciplinary and application-oriented, dedicated to researching, analyzing and solving health problems of the population as a whole or of individual population groups against the backdrop of the potentials, challenges and requirements of digitalization. In this context, Digital Public Health examines the societal changes and consequences of digitalization at the macro, meso and micro levels in terms of their impact on health and disease.
The Master's degree program deals with the social and psychosocial interactions of health, digitalization and society, and their consequences for prevention, health promotion, medical and nursing care, and our social security systems.

 

Professional perspectives

The Master's degree program in Digital Public Health is designed to impart fundamental specialist knowledge in the analytical-methodical field in conjunction with application and implementation-oriented knowledge. This opens up numerous career opportunities for graduates in various fields, such as research institutions, health and care insurance companies, social welfare associations, associations and foundations, public health offices and authorities, hospitals or consulting centers, as well as in the private sector. Their special expertise at the interface of health, digitalization and society is in great demand in order to shape the processes of digital transformation in our living environments in an evidence-based and needs-oriented manner. In doing so, they conceptualize, implement, and evaluate innovative solutions for the health and social services of the future.
Their interdisciplinary knowledge and methodological skills enable them to work as team members or in the management of projects in research, together with cost bearers, in politics or in the private sector. During this process, they take a holistic perspective and shape the digital transformation of our living environments in a health-oriented way.
The Master's degree provides graduates not only with a straightforward career path, but also with the prerequisites for applying for a doctoral program in the field of public health.

 

Admission requirement

The Master's degree program specializes in the area of the competencies and skills learned in the Bachelor's degree program and allows students to concentrate on specific areas through the range of mandatory courses. The prerequisite for this is a Bachelor's degree in a study program with a concentration on health sciences. Applicants must provide evidence that they have acquired a certain amount of basic epidemiological and/or statistical knowledge before beginning their studies (together at least 12 European Credit Transfer System credits). Of course, the Bachelor's program Digital Biomedical and Health Sciences with second Major course Digital Public Health at the University of Siegen fulfills these admission

 

Study structure

1. semester	2. semester	3. semester	4. semester
Core Competencies Digital Public Health	Sociology of Health	Prevention and Health Promotion	Master thesis
Health Economics	Health Psychology	Health Policy
Epidemiology	Mandatory course Digital Public Health
Methods in Public Health

 

Mandatory course Digital Public Health

• Medicine
• Digital Health Communication
• User Orientation in Digital Public Health
• Digital Nursing and Health Care
• Digital Global Health
• Health Economic Evaluation
• Behavioral and Experimental Health Economics
• Statistical Learning in Health Sciences

 

 

• Subject Examination Regulations