Business Administration Ma, Quantitative methods, 7,5 Credits


Business Administration Ma, Quantitative methods, 7,5 Credits

General data

  • Code: FÖ025A
  • Subject/Main field: Business Administration
  • Cycle: Second cycle
  • Credits: 7.5
  • Progressive specialization: A1N - Second cycle, has only first-cycle course/s as entry requirements
  • Answerable department: Economics, Geography, Law and Tourism
  • Answerable faculty: Faculty of Human Sciences
  • Established: 4/1/2008
  • Date of change: 9/21/2017
  • Version valid from: 1/10/2018


The aim of the course is to give knowledge in conducting quantitative research projects and in using statistical methods of analyses.

Course objectives

The purpose of the course is to develop the skill of the students to formulate and study quantitative research problems in the business sector. This includes:
- Present the premises behind quantitative methods.
- Being able to design a study – including sampling, collecting data and to use different techniques for analyzing data – appropriate for such a research problem.
- Being able to understand and use the most common statistical techniques for analysis of data, both for descriptive and causal purposes.


The course describes the quantitative research process from design – via collecting and processing data – to data analysis. Students will learn to choose appropriate research method for a particular research problem. Important parts of the course are: selection of sample, choice of method for collecting data, constructing a questionnaire, and choice of statistical methods for analysing data. Students will get both theoretical and practical knowledge about those steps in the quantitative research process. A variety of different statistical techniques of analysis will be taught, with an emphasis on different bivariate and multivariate analyses of relationships between variables, like correlation analysis and multiple regression analysis.

Entry requirements

Degree of Bachelor (180 Credits) with 90 Credits in Business Administration or corresponding education and Introductory statistics, 15 Credits, or corresponding course.

Selection rules and procedures

The selection process is in accordance with the Higher Education Ordinance and the local order of admission.

Teaching form

The course includes lectures, seminars, computer laboratory lessons, and tutoring on course papers. Attending the seminars is compulsory. The language used in the training is English.
Limitations: Teaching and support from responsible teacher is offered only during the course period for which the student is admitted to.

Examination form

1100: PM, 0.0 Credits
Grade scale: Fail (U) or Pass (G)

1200: Home Exam, 7.5 Credits
Grade scale: Fail (U) or Pass (G)

The examination is made through written test and course papers.

Grading system

Seven-grade scale, A, B, C, D, E, Fx and F. Fx and F represent fail levels.

Course reading

Reference literature

  • Title: SPSS användarmanual, latest edition
  • Edition: Senaste upplagan

Required literature

  • Author: Hair, Joseph. F.Jr; Black, William C.; Babin, Barry J.; Anderson, Ralph E.
  • Title: Multivariate Data Analysis - A global perspective
  • Ort: New Jersey
  • Edition: Senaste upplagan
  • Publisher: Pearson Education, latest edition
  • Author: Fowler, Floyd J
  • Title: Survey Research Methods
  • Edition: Senste upplagan
  • Publisher: Sage Publications Ltd, latest edition
Vetenskapliga artiklar samt annat utdelat material tillkommer.

Scientific articles and other written texts will be added.

The page was updated 5/6/2020