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Lund University
Master of Science Programme in Social Scientific Data Analysis
<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…
- Higher education
- Information unavailable
- 28 August 2026
- Lund
- Information unavailable
- 100 %
Overview
<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>
Admission scores
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).
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-28
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.lu.sasda.18499.20262
- Last checked
- 2026-09-23T10:38:33.477975+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
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- Programme or course starts
- Programme or course ends
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.lu.sasda.18499.20262
- Offering identity in the source
- e.uoh.lu.sasda.18499.20262
- Education-form source code
- HS
- Education code in the source
- SASDA
- Change time according to the source
- 2026-03-25T09:16:03
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.