
Companies and institutions in the healthcare sector are looking for competent data scientists, who have a solid understanding for handling and creating valuable insights from big data. Be a part of this revolution and shape the future with us!
The Master's programme in Data Science - Digital Health will give you the skills to evaluate data strategically in various healthcare sectors using modern AI methods and machine learning processes. The focus is on analysis and the appropriate visualisation of results: you can only create valuable insights if the results can be interpreted. The degree programme also explores critical aspects of digital health in greater depth, allowing you to hone your profile as a specialist for current issues in the healthcare industry.
The programme offers comprehensive training in digital health analytics, health management, and the fundamentals of digital health. You will acquire in-depth knowledge of statistics, programming, and data management, supplemented by data analysis and visualisation. Topics such as health law, ethics, market access, and digital business models are also covered. The programme emphasises modern approaches such as e-health and telemedicine to prepare you for the challenges of digital transformation in the healthcare sector.
As a graduate of the Master's programme in Data Science - Digital Health, you will have a wide range of career options. The combination of practical and methodological skills and theoretical foundations enables you to develop a sought-after profile for a variety of career prospects:
In the Master's programme in Data Science - Digital Health at SRH University's Fürth campus, you will learn how to apply data analysis in the healthcare sector to improve medical and organisational decisions. The focus is developing digital solutions that make patient care more efficient and precise. You will learn how to handle healthcare data from various sources, analyse it and use it to make evidence-based decisions in the healthcare sector. Both technical expertise and an understanding of the unique requirements of the healthcare sector play a crucial role here.
The highlight modules include:
With this knowledge, you will be prepared for positions such as data scientists or health data analysts in which you develop data-based solutions for the healthcare sector.
We will be happy to send you further information, including the complete curriculum.
Fundamentals of Healthcare Management I (Health Systems, Health Issues, Health Law and Ethics)
5Fundamentals of Digital Health I (E-Health, M-Health, Telemedicine, Electronic Health Record)
5Digital Health Analytics I (Health Data, Information and Communication)
5Digital Health Analytics II (Statistics)
5Digital Health Analytics III (Requirements Management)
5Digital Health Analytics IV (Fundamentals of Programming)
5Fundamentals of Healthcare Management II (Market Access, Regulatory Affairs & Reimbursement)
5Fundamentals of Digital Health II (Health Information and Application Systems)
5Digital Health Analytics V (Data Management)
5Digital Health Analytics VI (Data Preprocessing and Analytics)
5Digital Health Analytics VII (Data Visualisation and Dashboards)
5Digital Health Analytics VIII (Machine Learning)
5Internship/Global Study Semester
30Fundamentals of Healthcare Management I (Health Systems, Health Issues, Health Law and Ethics)
5Fundamentals of Digital Health I (E-Health, M-Health, Telemedicine, Electronic Health Record)
5Digital Health Analytics I (Health Data, Information and Communication)
5Digital Health Analytics II (Statistics)
5Digital Health Analytics III (Requirements Management)
5Digital Health Analytics IV (Fundamentals of Programming)
5Fundamentals of Healthcare Management II (Market Access, Regulatory Affairs & Reimbursement)
5Fundamentals of Digital Health II (Health Information and Application Systems)
5Digital Health Analytics V (Data Management)
5Digital Health Analytics VI (Data Preprocessing and Analytics)
5Digital Health Analytics VII (Data Visualisation and Dashboards)
5Digital Health Analytics VIII (Machine Learning)
5Today, soft and social skills are crucial in addition to hard skills and expertise. That's why SRH University's innovative, successful, and award-winning CORE principle promotes independent and active learning so that you can apply your knowledge directly to projects and your future career—for a clear competitive advantage.