INTHE4050 – Master Thesis - Research Track
Course content
Learning outcome
Knowledge:
At the end of the course, you will be able to
- Demonstrate how to search and use different sources of scientific literature to identify research gaps relevant in global community health.
- Describe the choice of research methods relevant to address research questions set forth in the thesis protocol.
- Explain theoretical frameworks of relevance in global community health research and how they are used in the conceptualization and interpretation of own scientific work.
- Demonstrate ability for good scientific writing and translate scientific results to inform community health interventions
Skills:
At the end of the course, you will be able to
- Appraise scientific literature in global community health to compare and interpret own research findings.
- Design and conduct research that is original and is aligned with ethical standards in the research field
- Reflect on theoretical frameworks and apply the chosen methodological approaches in the collection, collation, and analysis of research data in global health
- Compile an independent scientific report in a professional and ethically sound manner.
- Demonstrate ability to disseminate and discuss research results to colleagues and scientific community.
General competence:
At the end of the course, you will be able to
- Consider various ethical considerations and challenges that may arise during research conduct and interpretation of research results.
- Demonstrate the principles of academic integrity, and professional responsibility to your research work and that of others.
Admission to the course
This course is only available for students at the following master programme:
Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.
Formal prerequisite knowledge
Teaching
In the 3rd semester the students will collect data for their master's thesis through fieldwork. Students who use secondary/already collected data that require extensive processing (for example, registry data requiring merging of multiple datasets or the preparation of longitudinal datasets) will use this semester for data management and processing. Students may also collect and organize data for conducting a meta-analysis of existing research literature.
The 4th semester is dedicated to analyzing data and writing of the master's thesis. You will also have an opportunity to attend workshops on analysis of either quantitative or qualitative data.
Examination
Language of examination
You must submit your master thesis in English.
The oral exam is conducted in English.
Grading scale
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.