Applied Statistical Methods
Summary
In this course, you will deepen your knowledge of statistical methods for social science analysis. You will be trained in collecting, processing, analyzing, and critically interpreting extensive empirical material. Through a combination of theoretical perspectives and practical exercises, you will have the opportunity to develop both technical skills and analytical acumen.
About
Statistical analysis enables social scientists to broaden and deepen their understanding of complex social phenomena. This course will train you to conduct, visualize, and interpret statistical surveys, as well as critically examine knowledge claims based on numerical data.
The course begins with an introduction to statistical theory and a discussion of the relationship between research problems, study design, and empirical material. You will then practice applying statistical methods using relevant software.
Teaching takes place through lectures, practical exercises, and seminars. Examination takes place through written assignments and oral presentations at seminars.
This course can also be taken as a sub-course in Applied Statistical and Digital Methods (15 credits).
Prerequisites and selection
Entry requirements
To be eligible for the course the student should have obtained a pass grade for a first cycle social sciences research methods course (at least 15 credits) and have obtained 15 credits from a second cycle core course in the social sciences, or the equivalent. English 6/English B or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
After graduation
The studies lead to increased knowledge in methodology and scientific theory, which provides a solid foundation and prerequisites for writing reports and theses. But also for admission to doctoral programs or professional life as analysts and investigators.
Facilities
Classes are held in the Faculty of Social Sciences' premises in the Haga district in central Gothenburg. Within Campus Haga, there are teaching facilities in the Dragonen, Sappören (on Sprängkullsgatan), and Husaren (on Husargatan) buildings.
