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PhD course

Intervention science in maternal and child health

Main content

Course description

Language of instruction


Course content

This course gives a comprehensive introduction to major methodological and conceptual approaches in the field of intervention science in maternal and child health.

Both established and emerging methods will be discussed and explored through lectures, group work and assignments. The course offers a unique opportunity for senior/postgraduate students to be acquainted with a diverse set of approaches to research design, analysis and interpretation with focus on Intervention science in maternal and child health.

The course lectures and presentations are given in English by national and international scientists. Course lecturers are selected based on their expertise in their fields.

Course theme Autumn 2021

Quantitative Methods for Studying Equity and Poverty impact in Health

Previous topics and main topic for the next semester¿s course can be found at: https://www.uib.no/en/cismac

Learning outcomes

A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:


Provide an overview of the field of study addressed in the course with particular reference to maternal and child health


Explain the central theme and approach as it applies to the field of study addressed in the course and be able to incorporate this into current or future research projects.

Understand and be able to apply the various steps necessary to implement the methods and approaches addressed in the course into current or planned research.

Recognize the value of the methods and approaches addressed in the course and be able to apply these to research in intervention science in maternal and child health.

General competence:

Apply key concepts and perspectives from the course and its field of study independently, in current or future research projects.

Study period


Credits (ECTS)

2 ECTS credits

Specific terms

Course registration and deadlines

PhD students at UiB will be given priority, but the course is open for students and researchers from other international academic institutions outside of UiB as well.

Registration will close when course is full.


Master's degree or equivalent education level is required, with the exception of students on the Medical Student Research Programme.

Autumn 2021
Basic skills in quantitative data analysis. Good working knowledge of English (TOEFL score of at least 550 points paper-based or 213 points computer-based, or an equivalent approved test). Economists, other social scientists, health policy makers, medical doctors, ethicists, psychologists, nurses, dentists and others with training at the master level or higher in a relevant subject at a recognized institution can be admitted to the PhD level course.

Recommended previous knowledge
Basic skills in Stata/R software and basic understanding of distributive justice.

Part of training component

Part of training component in the PhD program at the Faculty of Medicine. Recommended for candidates associated with CISMAC's graduate school.

Compulsory Requirements

All course activities are mandatory.

Form of assessment

All teaching activities are mandatory. There are three mandatory assignments, with a combination of individual work and group work. In addition, group work in class, which requires attendance. No exam. Approved compulsory requirements are only valid for the semester they are approved.

Grading scale:

Pass / Fail

Who may participate

PhD students. Recommended for candidates affiliated to the CISMAC Research School

Addtional information

Supplementary course information

Autumn 2021:
Quantitative Methods for Studying Equity and Poverty impact in Health

The participants will learn about equity analysis, financial risk protection, poverty impact, and how to build on cost-effectiveness analysis to analyze distributional equity objectives, such as giving priority to the severely ill, reducing inequality in health, and promoting equal access to health services. We will use a mixture of lectures, group work/discussions and hands-on excercises on the main topics described above. Students are required to participate in group work on assigned topics. This includes daily student active teaching exercises, with alternating group compositions and presentation of results for the class.

This is a full digital course with lectures and active participation in discussions and group work taking place in Teams or Zoom (or similar). There will be basic readings, hands on analyses on computers, plenary presentations and discussion. Participants need a laptop with Stata and R preinstalled.


CISMAC, cismac@uib.no


Academic responsibility

Kjell Arne Johansson

Reading list

The reading list will be adapted and adjusted prior to each semester to reflect expected workload equivalent of 2 ECT.

For 2021:

Reading List will be available in CANVAS (mitt.uib)


Exam information

Study period