Applied Statistical and Digital Methods

Utbildningsfakta

Kod: SC2320

The course consists of two modules: #### Module 1: Applied Statistical Analysis This module provides students with an in-depth understanding of study design and the application of statistical methods in social science research. Initially, the theoretical foundations of statistical inference, the relationship between research problem, research design and empirical material, and the importance of these factors for the choice of statistical analysis method are treated. Thereafter, the course focuses on the practical application of a selection of statistical methods, with the aim of being able to analyze and answer complex social science questions. #### Module 2: Digital Methods in Social Sciences This module introduces digital methods for analyzing social phenomena, with a particular focus on how digital data can be collected, processed and analyzed. The course combines theoretical perspectives with practical elements and provides students with both methodological understanding and technical skills. The content is divided into modules covering data collection and management, ethical and legal considerations, and the application of methods such as text analytics and social network analysis. A central theme throughout the module is how qualitative and quantitative methods can be combined to enrich analysis.

Behörighet

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.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Applied Statistical and Digital Methods

  University of Gothenburg

  Startdatum: 4 november 2026

  Slutdatum: 17 januari 2027

  Studietakt: 100 %