Hasso-Plattner-Institut
HPI Digital Health Center
  
 

Digital Health Master's Program

The Master of Science in Digital Health is a four-semester program and includes compulsory modules in the field of digital health (core and bridge modules), two specialisations, soft skills, the master project lab and the final master thesis.  During their studies, students acquire the skills to analyze, design and implement complex and secure IT systems and infrastructures in the healthcare field. They further deal with ethical and legal issues of relevance in the conception of health systems.

Module Groups

Digital Health-Core Modules

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-BP Modul Digital Health Business and Process Transformation

The topic of this module is the modelling, analysis and evaluation of existing and new digital health processes using common IT systems, infrastructures and applications. Strategies and concepts for solving problems of health care actors and the management of health data are communicated.

 

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.

Digital Health-Bridge Modules

To supplement any missing knowledge, a student may be required to complete one or two bridge modules depending on his or her specific background.

 

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

The module focuses on the presentation of 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 module is intended for students with IT background and imparts the necessary basics for working in international health systems with their concrete requirements and special characteristics.

Digital Health-Areas of Specialization

(Each divided into the modules (C) concepts and methods, (T) tools and technologies and (S) 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

Softskills

- Communication
- Management competencies
- Design Thinking Basic Track
- Design Thinking Advanced Track

Digital Health Project Lab

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.

Modell Curriculum