Program Overview

Data Science: Digital Health (M.Sc.)

Overview

The Master's programme in Data Science - Digital Health at SRH University's Fürth campus is designed to equip students with the skills to evaluate data strategically in various healthcare sectors using modern AI methods and machine learning processes. The programme focuses on analysis and the appropriate visualisation of results, allowing students to create valuable insights in the healthcare industry.

Programme Content

The programme offers comprehensive training in digital health analytics, health management, and the fundamentals of digital health. Students 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.

Career Opportunities

As a graduate of the Master's programme in Data Science - Digital Health, students will have a wide range of career options, including:

• 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

Modules

The programme includes the following modules:

• Health Data Analytics: Analysis of medical and clinical data to identify trends and patterns that help improve therapies and diagnoses.
• Artificial Intelligence in Healthcare: Use of artificial intelligence in healthcare, e.g. to support imaging or patient prognosis.
• Health Informatics & Data Management: Handling electronic health data, databases and digital healthcare systems.
• Ethics & Data Security in Healthcare: Examination of the legal and ethical challenges of data use in the healthcare sector, particularly those related to patient data.

Curriculum

The programme consists of 120 ECTS (Regular Track) or 90 ECTS (fast-track) and is divided into four semesters. The curriculum includes:

• 1st semester: Fundamentals of Healthcare Management I, Fundamentals of Digital Health I, Digital Health Analytics I-IV
• 2nd semester: Fundamentals of Healthcare Management II, Fundamentals of Digital Health II, Digital Health Analytics V-VIII
• 3rd semester: Internship/Global Study Semester (Regular Track) or Master Thesis set-up (fast-track)
• 4th semester: Master Thesis set-up (Regular Track) or Digital Health Innovation Project (fast-track)

Admission Requirements

To apply for the Master's programme in Data Science - Digital Health, students need to provide:

• Bachelor's degree in Computer Science, Business Informatics, Economics, Health Economics, or a similar area of studies
• Secondary School Certificate
• Proof of English language proficiency
• Curriculum Vitae
• Copy of identity card or passport

Tuition Fees

The tuition fees for the programme are:

• €680/month (EU/EEA, including Western Balkans, Switzerland and Ukraine)
• €4,500/semester (non-EU/EEA)

A one-off enrolment fee of €500 (EU/EEA) or €900 (non-EU/EEA) is to be paid once.

Financing Options

Various financing options are available, including educational loans and scholarship programmes.