Postdoc, Global Health Section, Department of Public Health, University of Copenhagen.
Research Methodology and Ethics
This course is a part of
The course is only available for students enrolled on Master of Disaster Management.
The course introduces the principal study designs, methodological approaches and ethical considerations in disaster research; with a focus on research development.
Course content
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Critical literature review for identification of relevant knowledge gaps, research problems and questions.
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Quantitative methods for primary and secondary data collection - including definition of outcomes and variables; target population; sampling; and questionnaire design. Central issues on data management, validation, and analyses using statistical software (e.g. SPSS) are also covered.
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Qualitative methods for primary data collection including focus group discussions; key informant interviews; and participant observation. Data management validation and analyses including field note analyses are also covered.
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Mixed methods approaches in terms of the rationale for use, common procedures, and limitations.
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Basic principles and statutes on research ethics focusing on the specific challenges within disaster research.
Learning method
This course consists of a variety of teaching/learning methods (blended learning) ranging from class-based lectures, journal clubs, group work and student led presentations, as well as individual preparation and study time. All in-class sessions are moderated by faculty staff members. Students are expected to contribute actively through oral and written presentations, as well as constructive feedback to colleagues during sessions.
Teaching and learning methods could be:
- Lectures - imparting knowledge concepts, theories and models.
- Journal clubs - discussion of relevant papers with emphasize on analytical skills and knowledge gain.
- Group work - guided with a set of questions or an exercise based on a specific case.
- Presentations - of group and individual student assignments.
For more details about the course, please refer to the course curriculum.
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Course directors on »Research Methodology and Ethics«
Course details for »Research Methodology and Ethics«
Dates and examination
Course dates 2024/25
11–15 November 2024
6–24 January 2025
Course dates 2025/26
10–14 November 2025
5–23 January 2026
The course is available every year.
Examination
Please find the exam dates in the exam plan.
Learning outcomes
On completion of the course, you will be able to:
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critically appraise and review scientific research methodologies, including their application in disaster management, and retrieve information from peer-reviewed and grey literature sources. Identify research problems, formulate relevant research questions, and define and delimit study objectives
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choose appropriate study designs and methods for data collection and analysis, while considering ethical implications and potential limitations. Interpret and discuss research findings in relation to existing evidence within the field
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prepare and communicate research findings effectively, including formulating a clear synopsis for a small-scale research project and presenting results according to the IMRAD structure for scientific literature.
Admission criteria
The course is only available for students already enrolled on the Master of Disaster Management programme.
You must meet the following criteria to be admitted to this course:
- Be enrolled on the master's programme.
- Hold a relevant bachelor degree or equivalent.
- Have a minimum 2 years of relevant job experience.
- Be proficient in English.
Find detailed information about the current admission criteria on Master of Disaster Management.
Tuition fees
EU/EEA citizens
Master student: 13,000 DKK
Non-EU/EEA citizens
Master student: 16,500 DKK
More information
All course information is available in the course curriculum:Place
University of Copenhagen
City Campus
Øster Farimagsgade 5
1353 Copenhagen K
Denmark
Contact
Christine Gulstad
Study Administration Officer
MDMaadmissions@sund.ku.dk
Tel: +45 35 32 12 73