M.Sc. in Applied Social Data Science
A one-year full-time master's program bridging quantitative social science with advanced statistical and machine learning methods.
Best for:Best for graduates with a quantitative or social science background seeking advanced data analytics and machine learning skills.
Overview
The M.Sc. in Applied Social Data Science at Trinity College Dublin is a rigorous one-year, full-time master's program designed to equip students with fundamentals in quantitative social science research methods. Students learn state-of-the-art analytic approaches from statistics and machine learning to address complex social phenomena. The curriculum provides a strong methodological framework grounded in the scientific method, combining research design with practical data analysis. Graduates are well-prepared for analytical roles across the private, public, and non-profit sectors.
What you'll do
- Complete coursework in quantitative social science research methods and advanced analytics
- Apply machine learning and statistical techniques to answer social scientific questions
- Design and execute empirical research projects utilizing large datasets
- Develop practical data handling and programming skills for multi-sector applications
Requirements
Degree required: Upper second class honours (2:1) degree or higher from an established university
Degree offered: MSc
Language: English; meet Band B (Standard Entry) English language requirements
Instruction: English
- Proficiency in quantitative reasoning and methodology
- Strong academic record equivalent to an upper second class honours (2:1) degree or a 3.3 out of 4 GPA for international applicants
- Applicants must hold or expect to hold an upper second class honours (2:1) degree or higher
Funding & terms
Programme and admissions
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How to apply
Deadline: 2026-07-31
Applications must be submitted online through the official Trinity College Dublin postgraduate courses portal. Ensure all required academic transcripts and English language proficiency proofs are ready for upload before the closing date.
- Academic transcripts
- Proof of English language proficiency
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