DH-HS Modul Health Systems and Sciences for Digital Health

The module provides a comprehensive overview of selected areas of digital health in a national and international context. Processes, actors and care goals of digital health are examined in detail: current standards of health care, research and patient-centered treatment. The focus here is on the introduction, integration and monitoring of digital solutions.

DH-SW Modul Software Architectures for Digital Health

This module provides detailed knowledge of complex digital systems, networked software infrastructures and interoperable digital health applications. The focus here is on concrete concepts and procedures of the software development process for applications from the life sciences.

DH-DS Modul Data Science for Digital Health

The module provides an overview and understanding of the relevant subfields of Data Science with regard to Digital Health-generated data and study designs, their analysis and evaluation. The module also teaches the basics of statistical methods and data management in the field of digital health.

DH-EC Modul Ethics, Law and Compliance for Digital Health

The module defines the ethical and legal framework conditions to be observed in the design and implementation of software systems and in the handling of data from the health sector. For example, good clinical practices, handling of study data, legal requirements (e.g. eHealth legislation) and recommendations (e.g. by the German Ethics Council) are discussed. The aim is to assess the risks associated with the use of health data, to ethically and legally assess the conflict situations that arise in business and society and to prevent them by acting in a legally compliant manner.

DHBM-IT Modul Principles of IT Systems
In this bridge module, students from the health sciences learn the necessary basic knowledge of complex IT systems, operating systems, Internet and WWW, which are required within the scope of Digital Health.

DHBM-PR Modul Fundamentals of Programming
This bridge module provides basic knowledge of the programming languages, development tools, strategies and selected aspects of programming complex software systems required for Digital Health.

DHBM-PM Modul Introduction to Principles in Medicine
This module focuses on the presentation of selected basic principles and concepts of selected areas of medicine as well as the teaching of competences for the documentation of medical concerns in the field of digital health.

DHBM-HS Modul Fundamentals of Healthcare Systems
In this model the necessary basics for working in international health systems with their concrete requirements and special characteristics are imparted.

(divided into the Modules Concepts and Methods, Technologies and Tools & Specialization)

Scalable Computing and Algorithms for Digital Health (SCAD- C/T/S)
Technical concepts and innovations and their translations into daily routines in areas such as telemedicine, wearables, big data technologies and cloud computing

Digitalization of Clinical and Research Processes (DICR- C/T/S)
Digitization of clinical and research processes, taking into account data quality, reproducibility and stability

Acquisition, Processing and Analysis of Health Data (ADAP- C/T/S)
The module focuses on the entire process chain of data collection, processing and analysis. These include big data from heterogeneous data sources, data with high acquisition frequency and fast processing times.

Health Data Security (HDAS- C/T/S)
Safety-relevant aspects in the area of the use of data in the field of digital health

Students work together on a selected, research-related question from the topic area of digital health. Students are actively involved in the development of new solutions and gain deep insights into the current research work in the area, thereby consolidating their scientific work and writing.

In order to graduate with a Master’s degree 120 credits are required.

• 24 credit points in Digital Health
• 12 credit points in bridge module or other additional elective modules
• 2 selected specializations with 3 modules each (totaling 36 credits) 
  - Concepts and Methods
  - Techniques and Tools
  - Specializations
• 6 credit points in soft skills modules
• 12 credit points Digital Health Project Lab
• 30 credit points Master Thesis

Further information on the IT Systems Engineering Program can found in the current Study Rules and Regulations.

The following special admission requirements apply to the Master's degree program in Digital Health:

• A bachelor's degree or an equivalent first professional university degree of at least 180 credit points either 
  • in the field of informatics, such as IT-Systems Engineering, Computer Science, Bioinformatics, eHealth or Telemedicine together with basic knowledge comparable to the bridge modules "Introduction to Principles in Medicine" and "Fundamentals of Healthcare Systems" with a total of 12 LP or
  • in the field of study for health professions, such as medicine, medical science or pharmacy together with basic knowledge comparable to the bridge modules "Principles of IT Systems" and "Fundamentals of Programming" amounting to 12 LP in total
• Evidence of knowledge in data science, machine learning, statistical concepts and models, or empirical research processes to the extent of at least 12 LP
• Evidence of programming skills in R, Python, Matlab, C++, Java, or other relevant programming languages
• Language skills in English, at least C1 of the European Framework of Reference for Languages

All details on admission requirements in the subject-specfic admission regulations.

*In individual cases, the examination board may decide on comparable achievements.

Further information on application as well as study and examination regulations can be found on the page Application for the Master's Program.