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| Detailinformationen |
| Quellcurriculum |
Masterstudium Economic and Business Analytics 2026W |
| Lernergebnisse |
Kompetenzen |
| (*)The course provides an overview of key economic and managerial concepts relevant for decision-making in the health sector. It combines perspectives from health economics, management, and data analytics to explore how resources in health care can be organized, financed, and evaluated efficiently.
Students shall gain insights into the functioning and performance of health care systems and organizations, including aspects of hospital productivity, personnel management, and the use of data for decision-making.
The course emphasizes both conceptual understanding and applied analytical work.
Students can identify and analyze managerial and economic problems in the health care sector and apply data-driven approaches to support decision-making. They are equipped to apply these competencies to new and evolving issues in health policy and management.
Course Objectives:
- Identify and explain the key managerial and economic challenges in the health care sector.
- Analyze how incentives, organizational structures, and regulations shape decision-making in health care.
- Apply data and evidence to support and inform decisions in health management.
- Evaluate management strategies and health policies using economic and analytical reasoning.
- Compare alternative approaches to improving efficiency and performance in health care organizations.
- Summarize and create evidence-based recommendations that address real-world challenges in health management.
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| Fertigkeiten |
Kenntnisse |
| (*)LO1: Recall key concepts of health care organization, financing, and management.
LO2: Understand the economic and institutional context in which health care decisions are made.
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(*)LO3: Interpret health-related data to inform managerial or policy decisions.
LO4: Apply empirical methods to evaluate efficiency and performance in health care.
LO5: Communicate data-driven insights clearly in written and oral form.
Course Topics:
- Health care systems and financing
- Economic incentives and regulation in health care provision
- Management and organization of health care providers
- Hospital productivity and performance measurement
- Hospital mergers and restructuring
- Health data management and governance
- Applications of data analytics in health management
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| Beurteilungskriterien |
(*)Students are able to reach 100 points, 50 (50 %) for an in-class exercise and 50 (50 %) for a presentation. A minimum of 50 % in both parts is necessary in order to obtain a positive grade.
- Practical exercise: Students will engage in a practical task designed to apply course concepts and present results.
- Presentation: Students will analyze and present a related academic paper provided to them, summarizing its key points, critically evaluating its relevance, and proposing practical applications in health management.
Synchronization of learning outcomes and assessments:
LO1, LO2, LO5: presentation
LO3, LO4, LO5: in-class exercise
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| Lehrmethoden |
(*)The course combines several teaching methods to
- inspire and motivate students for the relevance of health economic questions.
- address the learning objectives with appropriate and state-of-the-art didactical methods.
This may include the following:
- Teacher-centered information inputs, supported by slides and literature.
- Group discussions on practical problems in health management.
- Guest lectures from practitioners.
- Student presentations on relevant papers.
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)- Slides
- Selected academic and policy papers (to be announced via Moodle)
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| Lehrinhalte wechselnd? |
Nein |
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