Professional master
Digital Health
Outcome
2-year part-time programme
Professional master
Digital Health
Outcome
2-year part-time programme
Facts
- Full programme, EU/EEA citizens: DKK 120,000 (4 x 30,000 DKK)
- Single course, 5 ECTS, EU/EEA citizens: DKK 10,000
- Single course, 10 ECTS, EU/EEA citizens: DKK 20,000
- Full programme, non-EU/EEA citizens: DKK 162,400 (4 x 40,600 DKK)
- Single course, 5 ECTS, non-EU/EEA citizens: DKK 13,500
- Single course, 10 ECTS, non-EU/EEA citizens: DKK 27,000
- 1 June 2024
Are you ready to pave the way for the future of digital healthcare innovation?
The master program Digital Health offers two distinct tracks which cater to different job profiles: The “Developer Track” focuses on programming, tools for developing algorithms, and the use of artificial intelligence, while the “User Track” emphasizes implementation and understanding of the consequences of using digital health in a healthcare context. In both tracks, your dive into topics like machine learning, data flow, health IT in clinical practice, ethics of AI, user studies, and more. You hereby equip yourself with the skills to meet the demands of a digitized healthcare sector. A professional master of Digital Health is not just theoretical; it is also a practical, research-based journey, grounded in your professional life.
Tracks
Whether you have a healthcare background or the engineering and IT industry, you can tailor your Master Program to achieve the qualifications you desire. Our program re-skills professionals who seek extraordinary competencies to navigate the design, development, and implementation processes of digital solutions in an ever-changing healthcare sector. With the Master Degree Program Digital Health, you will become not just a piece of a larger puzzle; but capable of shaping the future of digital development in the healthcare sector.
Target Group and Outcome
Academic Content of the Program
The Master Program Digital Health is a comprehensive program focusing on various aspects of digital health in the context of users and developers. This program equips participants with knowledge and skills in both the technological and organizational dimensions of digital health. The academic content of the program provides valuable insights into key topics, including but not limited to:
- regulatory landscape for digital health products
- user-driven innovation in healthcare technology
- scientific methods for health and social sciences
- digital health innovation and organizational change
- innovation and technological change in healthcare
- data quality in health information
- economics of digital health
- ethical considerations in AI for healthcare
- user studies and information behavior
- machine learning
- standardization and interoperability
In the final project, you can e.g. choose to focus on either of these topics and relate them to the company or organisation you work at, or you can work on a different topic as a spin-off of the learning.
Structure of the Program
The program is structured in four semesters. Each semester consists of a number of modules and is organised as a problem-based study. A module is a program element or a group of program elements that aims to give you a set of professional skills within a fixed time frame specified in ECTS credits and conclude with one or more examinations within specific exam periods. Examinations are defined in the curriculum.
The program is based on a combination of academic, problem-oriented, and interdisciplinary approaches and is organised based on the following work and evaluation methods that combine skills and reflection:
- Lectures: provides a strong academic foundation and insights into the subject matter with a focus on varied teaching methods.
- Classroom Instruction: Fosters collaborative learning and discussions, to promote an inclusive environment.
- Online Teaching: Combines flexibility with interactive sessions, ensuring accessibility and accommodates diverse learning preferences.
- Project Work: Applies theoretical knowledge to real-world scenarios, enhancing problem-solving skills in diverse teams.
- Workshops: Collaboration with peers and experts in focused workshops, which aligns with principles of engagement and collaboration.
- Exercises (Individual and Group): Balances independent and collaborative work, to acknowledge diverse learning styles.
- Independent Study: Encourages self-directed learning, to align with the principle of empowerment and personalized exploration.
- Teacher Feedback: Provides valuable feedback for continuous improvement, to support co-determination in the learning process.
- Reflection: Engage in reflective practices to consolidate learning, gain insights, and continuously refine understanding, to align with principles of empowerment and active learning communities.
