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2019/2020  BA-BPOLO2010U  Quantitative Methods for Business and Social Science

English Title
Quantitative Methods for Business and Social Science

Course information

Language English
Course ECTS 7.5 ECTS
Type Mandatory
Level Bachelor
Duration One Quarter
Start time of the course Fourth Quarter
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for BSc/MSc i International Business and Politics, BSc
Course coordinator
  • Zoltan Fazekas - Department of International Economics, Governance and Business (EGB)
Main academic disciplines
  • Statistics and quantitative methods
Teaching methods
  • Face-to-face teaching
Last updated on 17-06-2019

Relevant links

Learning objectives
  • Identify and select adequate quantitative approaches to analyze different social research problems.
  • Summarize and illustrate the differences between experimental and observational studies.
  • Identify and evaluate the assumptions behind the statistical methods introduced in the course.
  • Apply multiple regression analysis to empirical data and interpret the specific results (coefficients, standard errors, p-values, etc.).
  • Contrast different statistical models applied to data based on their appropriateness, strengths, or weaknesses.
  • Conduct data preparation and statistical analyses using statistical software (R).
Quantitative Methods for Business and Social Science:
Exam ECTS 7,5
Examination form Home assignment - written product
Individual or group exam Individual exam
Size of written product Max. 10 pages
Assignment type Written assignment
Duration 7 days to prepare
Grading scale 7-point grading scale
Examiner(s) One internal examiner
Exam period Summer
Make-up exam/re-exam
Same examination form as the ordinary exam
A new exam assignment must be answered. This apply to all students (failed, ill, or otherwise)
Course content, structure and pedagogical approach

The course provides students with theoretical and applied knowledge about statistical and quantitative methods in business and social science at an introductory and intermediate level. On completion of the course, the student should be able to understand the methods introduced in the course and apply them to a specific research problem. The course introduces students to causal inference, basic statistical analysis, and multiple regression analysis. The course consists of a mix of lectures and exercises. Throughout the course we will follow an applied, hands-on approach.

Description of the teaching methods
Lectures and exercise classes
Feedback during the teaching period
We encourage you to ask questions or make comments in class and form self-study groups to secure peer feedback on your work. We will use online forums to further offer answers to questions regarding lecture and exercise content. Feedback regarding specific inquiries will be offered during ‘office hours’ offered by full-time staff members, although these can never be a substitute for participation in lectures and classes.
Student workload
Preparation time (readings for lectures and exercises, etc.) 135 hours
Lectures, class exercises etc. 44 hours
Exam (actual exam period) 60 hours
Expected literature

Kosuke, Imai (2017). Quantitative Social Science: An Introduction. Princeton: Princeton University Press.

Last updated on 17-06-2019