
Master of Science in Digital Health and Data Science
Fürth, Germany
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
28 Feb 2025
EARLIEST START DATE
Apr 2025
TUITION FEES
EUR 4,500 / per semester *
STUDY FORMAT
On-Campus
* Citizenship | Non-EU/EEA: EUR 4500/ semester - Citizenship | EU/EEA (incl. Switzerland, Western Balkans and Ukraine): EUR 680 / month
Introduction
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!
Key Facts
- Degree: Master of Science (M.Sc.)
- Model: full time
- ECTS: 120
- Duration: 4 semesters/2 years
- Location: Fuerth
- Costs: from 680 € per month
- Start: 1st april; 1st October
- Language: English
- Info: Accredited
Gallery
Admissions
Scholarships and Funding
SRH International Scholarship Programme
Please note that the university does not offer fully funded scholarships
Scholarship deadline | April intake: 15 January; October intake: 15 July
Requirements & further information:
- Acceptance letter from SRH University of Applied Sciences
- Outstanding motivation
- Something that sets you apart: previous academic performance and/or artistic portfolio where applicable or social and entrepreneurial work samples - depending on the funding and study programme you wish to take
- Scholarships cover up to 50% of your first-year tuition fees
- Scholarship deadline: 2 weeks upon reception of the invitation to apply. Scholarships are granted on an ongoing basis, so make sure to apply as soon as you have received your SRH study contract
Future of Tech Scholarship
We are looking for new tech talent! Apply for your favourite SRH technology programme, win us over with your skills and projects and get the opportunity to receive a scholarship that covers up to 50% of your first-year tuition fees.
Students applying for the Future of Tech scholarship should fulfil the following requirements: proof of good academic performance and an academic IELTS with an overall score of 6.5 + a letter of motivation and a presentation (max. 5 slides) of your Future of Tech project. Please do not forget to include a copy of the confirmed study offer that your SRH study advisor sent you via email.
Women in Tech Scholarship
We believe that more women should be encouraged to take up STEM programmes and tech positions. Apply for your favourite SRH technology programme and get the chance to receive a scholarship of up to 50% on your first-year tuition fees.
Students applying for the women in tech scholarship should fulfil the following requirements: proof of good academic performance and an academic IELTS with an overall score of 6.5 + a letter of motivation to introduce yourself and your goals in the tech industry. Please do not forget to include a copy of the confirmed study offer that your SRH study advisor sent you via email.
Curriculum
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:
- Health Data Analytics: In this module, you will analyse medical and clinical data to identify trends and patterns that help improve therapies and diagnoses.
- Artificial Intelligence in Healthcare: Learn how artificial intelligence is used in healthcare, e.g. to support imaging or patient prognosis.
- Health Informatics & Data Management: This module deals with handling electronic health data, databases and digital healthcare systems.
- Ethics & Data Security in Healthcare: You will examine the legal and ethical challenges of data use in the healthcare sector, particularly those related to patient data.
Programme Structure
1. Semester
- Fundamentals of Healthcare Management I (Health Systems, Health Issues, Health Law and Ethics)
- Fundamentals of Digital Health I (E-Health, M-Health, Telemedicine, Electronic Health Record)
- Digital Health Analytics I (Health Data, Information and Communication)
- Digital Health Analytics II (Statistics)
- Digital Health Analytics III (Requirements Management)
- Digital Health Analytics IV (Fundamentals of Programming)
2nd semester
- Fundamentals of Healthcare Management II (Market Access, Regulatory Affairs & Reimbursement)
- Fundamentals of Digital Health II (Health Information and Application Systems)
- Digital Health Analytics V (Data Management)
- Digital Health Analytics VI (Data Preprocessing and Analytics)
- Digital Health Analytics VII (Data Visualization and Dashboards)
- Digital Health Analytics VIII (Machine Learning)
3rd semester
- International/Practical Experience: Internship/Global Study Semester
4th semester
- Master Thesis set-up (Master Thesis Kolloqium and Thesis Reflexion)
- Digital Health Innovation Project: Trends in Digital Health
Program Tuition Fee
Career Opportunities
Become a data scientist in the healthcare sector
Designed for delivering practical skills, methodological competences paired with theoretical knowledge in Digital Health, this study course prepares you for taking over international leadership positions and driving the digital transformation of global healthcare industries.
Take the chance and be ready for careers in Digital Health:
- Data Science and Business Intelligence
- Data understanding and data visualisation
- Project and programme management
- Strategy consulting
- Innovation and leadership
- Product development and entrepreneurship
- Public authorities in the healthcare sector
- Training, research and development
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.