Sociology & Data Analytics
Master advanced methods in sociological analysis, research design, and social science data analytics.
Best for:Best for graduates and professionals seeking to combine sociological theory with quantitative data analytics and research methods.
Overview
The Sociology & Data Analytics master's programme at the University of Limerick provides students with a deep understanding of sociological theory combined with modern quantitative and qualitative data analytics. Designed for individuals looking to bridge social science research with computational techniques, the curriculum covers rigorous social research methods and analytics tools. Students engage with comprehensive coursework and practical applications to prepare for data-driven analytical roles. The programme values diverse academic backgrounds and supports flexible entry routes through prior learning recognition.
What you'll do
- Complete taught modules covering advanced sociological analysis and social science research methods
- Engage in hands-on data analytics exercises using social science datasets
- Participate in seminars, discussions, and coursework assessments
- Design and execute an independent research project or thesis
Requirements
Degree required: Bachelor’s degree (NFQ Level 8) with at least a second-class honour, grade 2 (2:2) or approved equivalent
Degree offered: Master's (Level 9 NFQ)
Language: English
Instruction: English
- Foundational knowledge in social sciences, humanities, or related analytical disciplines
- Ability to engage with academic literature and sociological concepts
- Critical thinking and analytical problem-solving skills
- Applicants must hold an NFQ Level 8 bachelor's degree or equivalent, or meet criteria under the Recognition of Prior Learning (RPL) policy
Funding & terms
Programme and admissions
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- Intake
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- Prerequisites
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How to apply
Applicants should submit their application through the University of Limerick application portal. Supporting documentation such as academic transcripts and evidence of prior learning may be required during the submission process.
- CV
- BSc transcripts
- Portfolio of work
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.