Medical Data Science

 

The study program

Modern medicine is no longer conceivable without data processing. All processes in hospitals, doctors' offices, care facilities and other companies in the healthcare system are networked today. Patients and their medical histories are represented by data. This data processing still does not work perfectly today. The experience of the coronavirus pandemic has clearly revealed this in some places.
Medical Data Science is concerned with eliminating such deficiencies and creating optimal medical care for the future based on data. Graduates of this Master's degree program are proficient in the design, development, evaluation, and application of information processing methods and tools with the goal of medical data processing, data analysis, and data integration, as well as related research in these areas.

 

Professional perspectives

Experts with a Master's degree in Medical Data Science create the backbone of the medical care of the future. They develop and research innovative solutions for the medical problems of our time.
Their subject-specific knowledge and cross-disciplinary skills enable them to work as team members or in the management of projects in research or IT teams. With their expertise, they support design, care and research processes in healthcare facilities or companies.
They do this in hospitals, healthcare administration companies and authorities, software manufacturers and medical technology companies, but also in research institutes and universities as part of a scientific career that is open to them after obtaining a university degree in Medical Data Science, such as the one we offer here in Siegen.

 

Admission requirement

The prerequisite is a Bachelor's degree in a medical-oriented study program in which basic knowledge of Computer Science was also imparted. Applicants must provide evidence that they have acquired a certain amount of basic medical knowledge and mathematical computer-science basics before starting their studies (specifically, at least 30 European Credit Transfer System credits each). This can be done, for example, with a Bachelor's degree in medical computer science or with a degree in a major, business or bio-informatics program if you have acquired sufficient basic medical knowledge elsewhere, e.g. through previous vocational training. Naturally, the Bachelor's degree program Digital Biomedical and Health Sciences with a 2nd major course Digital Medical Technology at the University of Siegen fulfills these admission requirements.

 

Study structure

1. semester	2. semester	3. semester	4. semester
Knowledge management in medicine	Al in medicine	Ubiquitous Computing	Master thesis
Medical XR	Medical technology area of specialization	1 elective subject Interdisciplinary topics
Electives Digital Medicine
	Project Group

 

Elective subject interdisciplinary topics

• IoT in medicine
• Decision Support Systems
• Law and Regulation
• Ethics in digital medicine
• Algorithmic I
• Database Systems II
• Deep Learning
• Recent Advances in Machine Learning
• Machine Vision
• Advanced Programming in C++
• Advanced bio-computer science

 

Electives Digital Medicine

• Practical Philosophy
• Language in professional & institut. contexts
• Data, Platforms & Digital Methods
• Medicine in Depth I
• Medicine in Depth II
• Medicine in Depth III
• Health Economics
• Health econimics - Evaluation
• User Orientation in Digital Public Health
• Statistical Learning in Health Sciences
• Health & Clinical Psychology

 

 

• Subject Examination Regulations