Syllabus for Advanced Quantitative Methods

Avancerad kurs i kvantitativ metod

A revised version of the syllabus is available.

  • 7.5 credits
  • Course code: 2FK055
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Peace and Conflict Studies A1F
  • Grading system: Fail (U), Pass (G), Pass with distinction (VG)
  • Established: 2016-06-02
  • Established by: The Department Board
  • Applies from: week 27, 2016
  • Entry requirements: 1. Bachelor of Arts degree with at least 90 credits in peace and conflict studies, or 90 credits in a related relevant discipline and at least 30 credits in major subject or equivalent experience. 

    2. Enrolment and participation in Methods I as well as documented evidence of having obtained sufficient knowledge in using statistical software and regression analysis. Documentation of the latter needs to be presented and discussed with the Methods course convener for approval.
  • Responsible department: Department of Peace and Conflict Research

Learning outcomes

After completion, the student is expected to:

  • have attained the basic knowledge of the Stata statistical software package
  • know how to specify, estimate, interpret generalised linear regression models such as:
    • time-series models and panel models
    • binary, multinomial, and ordinal logit models
    • count models
  • know how to carry out simple Monte Carlo simulation techniques and use to evaluate specification problems
  • be familiar with basic measures for classification and evaluation of predictions


Focus will be on practical use in the form of specifying, estimating, interpreting, and evaluating models, as well as reviews of published work that applies these models. The theoretical introduction to the models will involve basic mathematical notation. The introduction to Stata will place considerable emphasis on Stata’s scripting language, and also introduce basic programming techniques required for efficient and transparent research procedures as well as for the application of Monte Carlo techniques.


There will be 10 lectures. Four assignments will be given and responded to throughout the course (approximately one every week).


Assessment will be based on the four assignments. Each assignment will consist of a short course paper and a working Stata do-file that produces the results in the paper. All assignments must be handed in.

Grades: Pass with distinction (VG), Pass (G), Fail (U). Two dates to resubmit course papers are offered per year.

Other directives

The course will be given jointly to PhD and Master's students. The course aims at preparing the student for writing a quantitative Master's thesis or research paper. Upon completion, the student will also have strengthened ability to read, evaluate critically, and replicate the majority of the published studies within quantitative peace and conflict research.

Reading list

The reading list is missing. For further information, please contact the responsible department.