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| Detailinformationen |
| Quellcurriculum |
Masterstudium Economic and Business Analytics 2025W |
| Lernergebnisse |
Kompetenzen |
| (*)Students are capable of developing their own empirical projects within various health-related applications and can effectively discuss health economic topics with both academic and non-academic audiences.
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| Fertigkeiten |
Kenntnisse |
(*)- Formulate own hypothesis (LO1)
- Apply various empirical concepts studied in the program in own research projects independently (LO3)
- Students will effectively use statistical software to conduct descriptive and inferential analyses. (LO3)
- Students will break down complex datasets or literature reviews to uncover insights into treatment effects or methodological weaknesses. (LO4)
- They will identify and address challenges in establishing causal relationships in health economics. (LO4)
- Discuss and present own research question and empirical findings (LO5)
- Critically reflect on empirical methods and findings of research projects (LO5)
- Construct datasets to be needed to implement an empirical project (LO6)
- They will compile reproducible do-files or scripts for empirical analysis and prepare comprehensive documentation for their work. (LO6)
- Students will generate original research designs or media (e.g., podcasts) that creatively communicate health economic concepts and results to various audiences. (LO6)
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(*)- Students will be able to recall key concepts and methods in health economics. (LO1)
- They will recognize relevant literature and data sources for empirical research. (LO1)
- Students will demonstrate an understanding of empirical strategies used to identify causal relationships in health economics research. (LO2)
- They will explain the implications of health economic findings to both academic and non-academic audiences. (LO2)
- Students will apply econometric methods to analyze health-related data. (LO3)
- They will employ appropriate literature review techniques to synthesize research on a given topic. (LO3)
- Students will critically analyze empirical data and literature to identify gaps or limitations in current health economic studies. (LO4)
- They will evaluate the effectiveness of different identification strategies used in research papers or datasets. (LO4)
- Students will assess the robustness of empirical. (LO5)
- They will compare and contrast the findings of multiple research studies to evaluate their implications in a broader health economics context. (LO5)
- Students will design and execute their own empirical research projects in health economics or develop a structured and engaging audio- or videofile that communicates complex research findings to a general audience. (LO6)
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| Beurteilungskriterien |
(*)The seminar covers changing topics, with evaluation criteria that may vary. These criteria can include:
- Audio and video files (e.g., podcast episodes)
- Files for reproducing empirical analyses
- Presentations
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| Lehrmethoden |
(*)The seminar has changing topics with possible changing methods. Among these are:
- Project-Based Learning: Encouraging students to develop their own empirical projects or audio- and videofiles fosters active learning by applying theoretical knowledge to real-world scenarios. This promotes higher-order thinking such as analyzing, evaluating, and creating.
- Collaborative Learning: Working in teams on both data projects and literature reviews enhances understanding and application of concepts through peer interaction, critical discussions, and feedback exchange.
- Lecture and Meetings: Meetings to discuss health economic concepts and empirical methods for data analysis and audio- or videofile creation, support remembering and applying knowledge.
- Presentation and Peer Feedback: Presenting research findings in both academic and non-academic settings allows students to evaluate their work, receive constructive feedback, and refine their communication skills.
- Guided Literature Review and Discussion: Providing resources and guidelines for conducting literature reviews helps students analyze and synthesize information, preparing them to critically engage with research.
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| Abhaltungssprache |
Englisch |
| Literatur |
(*)- Slides and handouts
- Datasets
- List of papers
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| Lehrinhalte wechselnd? |
Ja |
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