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Published education catalogue

Master of Science Programme in Social Scientific Data Analysis

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: SASDA

<p>Strengthen your skills in quantitative and qualitative methods. At this programme you will learn how to develop, carry out, and analyse data for research projects.</p><p>At the Master of Science in Social Scientific Data Analysis you prepare yourself to become a skilled data analyst and researcher. This programme focuses on social research methods, research design, and applied theory. You will receive extensive training in research design, qualitative and quantitative methods, including the use of the programming language 'R'. The main goal is for you to develop, refine, and carry out social scientific research projects. Whether you’re a beginner or have more experience with quantitative research and statistics you will find a challenging and supportive home in the programme.</p><h3>Become a professional researcher or analyst </h3><p>At the programme you will have the opportunity to develop your skills in quantitative and qualitative methods. These skills will help you conduct research, analyse data, and assess existing studies for policy and programme design. Ideal job markets include data science, market research, IT companies, consultancies, risk management firms, and intelligence analysis. The programme is also a good foundation for doctoral studies. </p>

Entry requirements

A Bachelor’s degree with a major (i.e. at least 90 ECTS credits) in Development Studies, Gender Studies, Human Geography, Political Science, Social Anthropology, Social Work, Sociology or Sociology of Law, or the equivalent. English course 6 (advanced proficiency).

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

Source and updates

Skolverket Susa-navet

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Last changed according to the source: 2026-03-25T09:16:03