MSc in Digital Health
Deggendorf Institute of Technology
Key Information
Campus location
Pfarrkirchen, Germany
Languages
English
Study format
On-Campus
Duration
3 semesters
Pace
Full time
Tuition fees
EUR 72 / per semester *
Application deadline
15 Jul 2024
Earliest start date
Oct 2024
* €72 student services fee per semester
Introduction
The health system is characterized by a high IT infiltration - most clinical, nursing and therapeutic processes are supported by digital network documentation systems that are used by professionals involved in all these treatment processes. Throughout these processes, private individuals and health insurance companies are billed using digital transference. This postgraduate course enables students to reinforce, deepen and expand their theoretical and factual knowledge to meet the requirements of modern research and development fields in the telematics, telemedicine and e-health industries, as well as in service provider fields in national or international health networks.
In addition to Germany, the digitization of healthcare is being promoted in many different European countries, giving our graduates the opportunity to use this postgraduate degree to really specialize their IT expertise in this specific area to continue into doctorate studies or research work in scientific areas and kick-start a fantastic career.
Curriculum
Fields of Competence
All lectures will be held in English, thus proficiency in the English language is an essential prerequisite. The following modules can be selected:
Fundamentals Module:
Digital Health is an interdisciplinary domain that requires fundamental knowledge in both medicine / healthcare, as well as computer / information / data science. Understanding of Digital Health practices is impossible without sound knowledge of health conditions, diagnoses and treatments. Meanwhile, IT skills and competences are a prerequisite for designing real-world Digital Health solutions.
Module group Healthcare:
Today, healthcare is practiced in increasingly digitally networked context. Healthcare systems consist of macro, meso and micro levels of legal requirements and regulations of self-government, organizations and regional provision. The knowledge of the major global health issues, as well as solid understanding of healthcare management and economics, as well as the legal and ethical foundations of healthcare at the national and international level, form the basis of designing and applying these digital processes.
Module group Digital Health:
Digital Health is an umbrella term for a wide range of Information and Communication Technologies (ICT) in healthcare, where data and information on patient care is digitally processed and exchanged via secure data connections. These digital technologies are based on internationally agreed communication standards and classification systems, and include, among others, information systems and multiple other applications with different interfaces. Challenges remain with regard to the data protection. These challenges require a solid assessment of competence based on legal requirements.
Module group Research & Methodology:
Evidence-based medicine offers empirically verifiable treatments that are offered worldwide and are described in the guidelines of medical societies. Evidence-based decisions based on contemporary health research and statistics, are necessary skills for every Digital Health specialist. Digital Health generates large data volumes that can only be processed using modern data analytics and AI techniques, which form the basis for the personalized (or precision) medicine – the main future paradigm of care.
Module group Soft Skills:
Healthcare and Digital Health exist in an interdisciplinary, multi-professional context, in which multilingual services play an important role. Understanding the differences in acceptance and compliance with digital healthcare services in different countries is important, and so is the ability to work in multicultural and interdisciplinary teams.
Specialization Modules:
Digital Health graduates can practice in various roles in local, regional, national and global healthcare ecosystems, including: design and implementation of Digital Health systems, projects and programs; Digital Health business development and startup management; application of Healthcare Data Analytics and Artificial Intelligence techniques; developing and engineering Digital Health software and information systems.
The modules provide the opportunity to deepen and consolidate knowledge in the various competence fields and to develop relevant practical skills (software development, IT management, Telemedicine, technical sales - in national and international locations).
Gallery
Career Opportunities
Today, many processes and procedures in the health care industry are only possible through comprehensive IT support. Informatics provides the healthcare industry with IT solutions and works predominantly at the intersection of IT, medicine, nursing care, pharmaceutics, medical technology and administration. Accordingly, there is a high demand for qualified health computer scientists in the following fields:
- IT departments and data centres in hospitals and practices
- Health insurance companies
- The pharmaceutical industry and medical technology
- Healthcare organizations such as medical care centres and hospital and clinic networks
- Service industries in healthcare (logistics, software development, consulting)
The aim of the programme goes beyond the basic objective of "employability" toward professional proficiency and career success. The focus is on hands-on, solution-oriented and implementation-oriented competencies in an international context, which are gained through concrete, practice-based projects and real-life case studies. After acquiring fundamental knowledge and skills in Medicine/Healthcare and Computer science, the students will develop competencies in the areas of Health Care, Digital Health, and Research and Methodology, as well as Soft Skills. Within each module, synthesis and synchronisation will be achieved through translating knowledge into concrete case studies (deduction and induction). Finally, through Specialization Modules students will develop in-depth practical skills in two of the four areas: Digital Health Project and Programme Management, Digital Health Product and Startup Development, Digital Health Data Analytics and AI, and Digital Health Software Engineering.
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