SRH University of Applied Sciences is a state-recognised private university in Germany with multiple campuses, including Fürth. It has a strong international focus, offering a range of English-taught Master’s and Bachelor’s programmes. SRH emphasises a practical, project-based CORE learning approach, integrating technical knowledge with real-world application alongside soft and professional skills — ideal for global careers.

 

Why Study Master in Digital Health – Data Analytics at SRH University?

Digital transformation is rapidly changing healthcare worldwide. This programme prepares you to become an expert in evaluating, interpreting, and using healthcare data with modern tools such as AI, machine learning, and data analytics — skills that are in high demand in hospitals, health tech companies, and public health organisations.

 

Subjects & Programme Structure

The M.Sc. Digital Health – Data Analytics curriculum combines technical data science skills with healthcare industry knowledge. It includes practical and theoretical modules such as:

Core Modules (Examples)

• Fundamentals of Healthcare Management (Systems, Health Law, Ethics)

• Digital Health & E-Health Concepts (mHealth, Telemedicine, Electronic Records)

• Digital Health Analytics I–IV (Statistics, Data Handling & Programming)

• Data Management (Databases, Health Information Systems)

• Data Preprocessing, Visualization & Machine Learning

• Ethics & Data Security in Healthcare

• Master Thesis and Innovation Project (practical research or industry-linked project)

 

Disciplines & Specialisations

Though the programme is core-focused, it blends these disciplines:

• Health Data Analytics

• AI in Healthcare

• Health Informatics & Data Management

• Health Law, Ethics & Market Access

• Digital Business Models in Healthcare

 

Highlights of the Programme

• English-taught curriculum — ideal for international students.

• Interdisciplinary focus blending data science, healthcare, and analytics.

• Real-world projects, practical case studies, and hands-on learning.

• Fast Track option for those with strong academic backgrounds.

• Emphasis on modern technologies including AI, machine learning, and digital healthcare tools.

• CORE learning model — balancing soft skills, teamwork, and analytical thinking.

 

Career Outcomes

Graduates gain skills relevant for in-demand roles such as:

Possible Jobs

• Health Data Scientist / Analyst

• Healthcare Business Intelligence Specialist

• Healthcare IT Consultant

• Project/Programme Manager in Health Tech

• Innovation and Strategy Consultant

• AI & Machine Learning Specialist for Health Systems

• Public Health Data Officer

• Entrepreneur / Product Developer in Digital Health

 

Visa & Immigration Requirements (If Applicable)

As an international student (non-EU/EEA), you will need:

German Student Visa (Residence Permit – Student)

You typically must provide:

• Letter of admission

• Proof of finances (blocked account or equivalent)

• Health insurance

• Academic documents (Bachelor’s diploma, transcripts)

• Passport and photo

• Proof of accommodation

 

Latest Updates & Special Requirements

• Fast Track option: eligible students with sufficient undergraduate credits may complete the programme quicker (90 ECTS option).

• Internship recognition: relevant prior work experience may be credited toward the mandatory internship, possibly accelerating your completion.

• The programme is accredited and English-taught, supporting non-German-speaking applicants.