Core Course 4: Research Methodology and Ethics, 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.
Specifically, the course covers:
- Critical literature review for identification of relevant knowledge gaps, research problems and questions.
- 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.
- 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.
- Mixed methods approaches in terms of the rationale for use, common procedures, and limitations.
- Basic principles and statutes on research ethics focusing on the specific challenges within disaster research.
Master of Disaster Management - compulsory
This course is offered to MDMa full programme students only.
On completion of the course, students should be able to:
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.
The teaching/learning methods could be listed as follows:
• Lectures - Imparting knowledge, concepts, theories and models
• Journal clubs – discussion of relevant papers with emphasis on analytical skills and knowledge gain
• Group work – guided with a set of questions or an (software) exercise based on specific case
• Presentations – of group or individual student assignments
Written exam feedback is given in the case of the grade, FAIL.
- 7,5 ECTS
- Type of assessment
- Type of assessment details
- Course Assignment (5 page Synopsis)
A synopsis is a brief outline of the student's proposed thesis.
The required length of the synopsis is 5 pages, excluding the cover page and reference list (1 page = approximately 2,400 keystrokes, font size 12 pt. line space 1.5).
- All aids allowed
The use of AI chatbots, such as ChatGPT or similar software, is not allowed during exams.
- Marking scale
- passed/not passed
- Censorship form
- No external censorship
One internal examiner
Criteria for exam assessment
To achieve the grade, PASSED, the student must be able to:
- Identify and critically evaluate the relevance and validity of scientific literature and data within the field of disaster management.
- Describe relevant research problems and formulate specific research questions and objectives to be addressed within the framework of a master thesis research project.
- Determine appropriate study designs and critically discuss relevant quantitative and/or qualitative data collection and analysis methods that align with these designs.
- Apply knowledge of general concepts for ensuring good academic and research practice including the key concept in research ethics.
- Synthesise all of the above into a consistent synopsis adhering to the conventional structures for scientific literature.
Part time Master and Diploma courses
- Class Instruction
- Course number
- 7,5 ECTS
- Programme level
- Part Time Master
Full Degree Master
Fees are published on the course page: https://www.mdma.ku.dk/courses-and-dates/methodology/
The fees cover course registration, course materials, and examination. Fees may be subject to change.
1 week in November (13-17 Nov 2023) and
3 weeks in January (8-26 Jan 2024)
- 12-35 participants
- Study Board for the Professionel Master´s Degree Programmes at The Faculty og Health and Medical Science
- Department of Public Health
- Faculty of Health and Medical Sciences
- Bishal Gyawali (9-6c7371836b816b76734a7d7f786e38757f386e75)
- Anne Bach Nielsen (17-6774746b346867696e34746f6b72796b7446797b746a34717b346a71)
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Courseinformation of students