Applied Statistical and Digital Methods
Summary
On this course, you will deepen your knowledge of statistical and digital methods for social science analysis. You will be trained in collecting, processing, analysing and critically interpreting extensive empirical material – from large surveys to digital data such as posts, comments and interactions online. Through a combination of theoretical perspectives and practical exercises, you will have the opportunity to develop both technical skills and analytical acumen.
About
The course consists of two modules that combine theoretical elements with training in various analytical methods. Teaching takes place through lectures, practical exercises and seminars. Examination takes the form of written assignments and oral presentations at seminars.
Module 1: Applied statistical methods
Statistical analysis enables social scientists to both broaden and deepen their understanding of complex social phenomena. In this module you will receive training in conducting, visualising and interpreting statistical surveys, as well as critically reviewing knowledge claims based on numerical data.
The sub-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 practise applying statistical methods using relevant software.
Module 2: Digital methods in social sciences
Competence in digital methods is central to understanding today's society, where social processes largely take place online. This module provides you with knowledge of how digital data from, for example, social media can be collected, analysed and interpreted. The focus is both on the possibilities of the methods and on the research ethics issues they raise.
The module begins with the basics of digital data collection and data management. This is followed by an in-depth study of ethical and legal issues and applications such as automatic text analysis. A central feature is the combination of qualitative methods and digital tools.
The modules are also offered as independent courses:
• Applied Statistical Methods 7.5 credits
• Digital Methods in Social Sciences 7.5 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 degree projects. But also for admission to doctoral programmes 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 (Husargatan) buildings.
