MSc in Social Data Science
Interdisciplinary master’s programme blending computational methods with social science research for data-driven insights.
Best for:Best for graduates with a strong foundation in social sciences or STEM who seek to develop computational skills, or those with computational backgrounds eager to apply their expertise to social science research.
Overview
The MSc in Social Data Science at University College Dublin is designed for graduates from social sciences, arts, humanities, psychology, business, or STEM disciplines. This programme integrates computational techniques with social science research, equipping students with algorithmic thinking and analytical skills to address complex societal challenges. Applicants must demonstrate either computational expertise with a social science background or vice versa, with strong references and evidence of research interest. The curriculum includes modules from Computer Science, focusing on logical reasoning and data-driven problem-solving. Admission is case-by-case, with flexibility for applicants holding a 2.2 honours degree if they can justify their suitability through work experience or exceptional potential.
What you'll do
- Develop and apply computational methods to address research questions in social science domains.
- Engage in interdisciplinary research projects combining quantitative and qualitative approaches.
- Analyze large datasets using statistical and machine learning techniques to derive actionable insights.
- Collaborate with peers and faculty to design and execute data-driven research studies.
- Develop strong algorithmic and logical reasoning skills through Computer Science modules.
- Contribute to the advancement of knowledge at the intersection of computational and social sciences.
Requirements
Degree required: A 2.1 honours degree (or equivalent) in a computational science discipline with evidence of strong interest in social science research, OR a 2.1 honours degree (or equivalent) in a social science discipline with evidence of computational skills or interest in obtaining them.
Degree offered: MSc in Social Data Science
Language: English; IELTS 6.5 overall with a minimum of 6.0 in each band (or equivalent qualification)
Instruction: English
- Demonstrable interest in social science research (if computational background is primary)
- Evidence of computational skills or willingness to develop them (if social science background is primary)
- Algorithmic thinking and logical reasoning abilities
- Strong academic references
- Applicants with a 2.2 honours degree may be considered on a case-by-case basis if they can demonstrate exceptional potential or relevant work experience.
- Open to both domestic (EEA) and international (non-EU) applicants for full-time and part-time study.
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Deadline: unknown
Applicants must apply online through the University College Dublin Graduate Admissions portal. The process involves submitting academic transcripts, a statement of interest, references, and proof of English proficiency if applicable. Additional criteria may be requested on a case-by-case basis.
- CV or résumé
- Academic transcripts (Bachelor’s degree)
- Statement of interest or research proposal
- Two academic references
- Proof of English proficiency (if applicable)
- Additional documents if required on a case-by-case basis
Contact
UCD Graduate Admissions· Admissions Office
http://www.ucd.ie/registry/prospectivestudents/admissions/graduateapplicants/applying/
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