M.Sc. Digital Health – Data Analytics

• Degree: Master of Science (M.Sc.)
• Model: full-time
• Language: English
• ECTS: 120
• Info: accredited
• Duration: 4 semesters/2 years
• Location: Fuerth

The Master's programme in Digital Health – Data Analytics 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 Digital Health – Data Analytics, 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:

• 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

In the Master's programme in Digital Health – Data Analytics 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.

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.

1st semester

1. Fundamentals of Healthcare Management I (Health Systems, Health Issues, Health Law and Ethics) – 5 ECTS
2. Fundamentals of Digital Health I (E-Health, M-Health, Telemedicine, Electronic Health Record) – 5 ECTS
3. Digital Health Analytics I (Health Data, Information and Communication) – 5 ECTS
4. Digital Health Analytics II (Statistics) – 5 ECTS
5. Digital Health Analytics III (Requirements Management) – 5 ECTS
6. Digital Health Analytics IV (Fundamentals of Programming) – 5 ECTS

2nd semester

1. Fundamentals of Healthcare Management II (Market Access, Regulatory Affairs & Reimbursement) – 5 ECTS
2. Fundamentals of Digital Health II (Health Information and Application Systems) – 5 ECTS
3. Digital Health Analytics V (Data Management) – 5 ECTS
4. Digital Health Analytics VI (Data Preprocessing and Analytics) – 5 ECTS
5. Digital Health Analytics VII (Data Visualisation and Dashboards) – 5 ECTS
6. Digital Health Analytics VIII (Machine Learning) – 5 ECTS

3rd semester

1. Internship / Global Study Semester – 30 ECTS

4th semester

1. Master Thesis Set-Up (Master Thesis Colloquium and Thesis Reflection) – 20 ECTS
2. Digital Health Innovation Project: Trends in Digital Health – 10 ECTS

1st Semester

1. Fundamentals of Healthcare Management I (Health Systems, Health Issues, Health Law and Ethics) – 5 ECTS
2. Fundamentals of Digital Health I (E-Health, M-Health, Telemedicine, Electronic Health Record) – 5 ECTS
3. Digital Health Analytics I (Health Data, Information and Communication) – 5 ECTS
4. Digital Health Analytics II (Statistics) – 5 ECTS
5. Digital Health Analytics III (Requirements Management) – 5 ECTS
6. Digital Health Analytics IV (Fundamentals of Programming) – 5 ECTS

2nd Semester

1. Fundamentals of Healthcare Management II (Market Access, Regulatory Affairs & Reimbursement) – 5 ECTS
2. Fundamentals of Digital Health II (Health Information and Application Systems) – 5 ECTS
3. Digital Health Analytics V (Data Management) – 5 ECTS
4. Digital Health Analytics VI (Data Preprocessing and Analytics) – 5 ECTS
5. Digital Health Analytics VII (Data Visualisation and Dashboards) – 5 ECTS
6. Digital Health Analytics VIII (Machine Learning) – 5 ECTS

3rd Semester

1. Master Thesis Set-Up (Master Thesis Colloquium and Thesis Reflection) – 20 ECTS
2. Digital Health Innovation Project: Trends in Digital Health – 10 ECTS

To apply for the Master's programme in Digital Health – Data Analytics, you will need to provide

• Bachelor's degree in Computer Science, Business Informatics, Economics, Health Economics, or a similar area of studies.If you have not graduated yet, apply with existing transcripts.
• Secondary School Certificate
• Proof of English language proficiency
• Curriculum Vitae
• Copy of your identity card or passport

English language requirements:

Accepted English Proficiency Certificates (valid within 2 years), with at least the indicated score:

• IELTS Academic: 6.5
• TOEFL iBT: 87 points
• TOEIC Listening/Reading 785, Speaking 160, Writing 150
• Duolingo Certificate: 110 points
• Cambridge CAE or CPE (grade A, B, or C)
• Pearson English Test Academic (PTE-A): 59 points
• Linguaskill: 176 - 184 (CES) - all four skills required