Student Pages
Postgraduate course

Advanced Quantitative Analysis

  • ECTS credits10
  • Teaching semesterSpring
  • Course codeSAMPOL332
  • Number of semesters1
  • LanguageEnglish and Norwegian
  • Resources

Main content

ECTS Credits


Level of Study


Teaching semester

Spring - irregular

Objectives and Content


The course seeks to enable students to conduct advanced quantitative analyses using modern methods and statistical techniques.


The course covers topics like machine learning, causal inference and Bayesian analysis. Focus is on applied analysis. The teaching is divided into two distinct blocks, one dealing primarily with causal inference and the other with machine learning. The students are required to write two essays, one in each of the two blocks. The course builds on lectures and student presentations.

Learning Outcomes

A student who has completed the course should have the following learning outcomes: 


  • be well-acquainted with several of the main techniques in modern quantitative methods 
  • be able to present the results of their analyses in a clear and systematic manner 


  • identify theoretically motivated research questions that can be examined empirically
  • be able to conduct rigorous statistical analyses using available statistical software

General competence

  • conduct statistical analyses based on data collected by the students themselves

Required Previous Knowledge

SAMPOL305 or similar courses

Recommended Previous Knowledge

Knowledge of R or similar statistical programs

Credit Reduction due to Course Overlap

Full credit reduction to SAMPOL312

Access to the Course

The course is open for master students at the Department of Comparative Politics

Teaching and learning methods

Lectures and seminars

Compulsory Assignments and Attendance


Forms of Assessment

Two statistical essays (maximum 3000 words each). Both essays are weighted equally in determining the final course grade.

An essay that has been previously graded in SAMPOL332 cannot be resubmitted unless the student shows that the essay includes a new research question, new data or contains a radically different interpretation of the empirical findings (see "Utfyllende grads- og studiereglement for Det samfunnsvitskaplege fakultet").

Examination Support Material


Grading Scale

Graded A-F

Assessment Semester

Assessment in teaching semester

Reading List

The reading list will be ready before 1 June for the autumn semester and 1 Decemeber for the spring semester. 

Course Evaluation

All courses are evaluated according to UiB's system for quality assurance of education.    

Programme Committee

The Programme Committee is responsible for the content, structure and quality of the study programme and courses.

Course Coordinator

Course coordinator and administrative contact person can be found on Mitt UiB. 

Course Administrator

The Department of Comparative Politics at the Faculty of Social Sciences has the administrative responsibility for the course and the study programme.