Master 2024/2025

Data Analysis in the Social Sciences

Type: Compulsory course (Politics. Economics. Philosophy)

Area of studies: Political Science

Delivered by: School of Sociology

Where: Faculty of Social Sciences

Mode of studies: offline

Open to: students of one campus

Instructors: Stanislav Pashkov

Master’s programme: Политика. Экономика. Философия

Language: English

ECTS credits: 6

Contact hours: 64

Course Syllabus

Abstract

The goal of this course is to introduce students the main principles of data analysis methods and procedures commonly used in social science, with an accent on social problems and corresponding scientific challenges. Students are to familiarize with a variety of data analysis methods, which should be useful in quantitative research. It is aimed at developing a data-driven, as well as theory-driven logic through understanding data fundamentals, main application areas. Students will be able to understand limitations, values added and heuristic mechanisms of different data analysis methods. During the course, students will acquire practical skills to be able to gather, generate, visualize and analyze quantitative data in social science research. All the learning process is based on R language and RStudio.