MSc in Politics and Data Science
Interdisciplinary master’s programme bridging political science and data science for social science and technical backgrounds.
Best for:Best for graduates in political science, social sciences, or computer science who want to specialise in data-driven political analysis or apply computational methods to policy research.
Overview
The MSc in Politics and Data Science at University College Dublin is designed for students with backgrounds in political science, social sciences, or computer science. It equips graduates with advanced data science tools to analyse political phenomena, while also offering technical professionals the opportunity to study political systems. The programme integrates quantitative methods, computational techniques, and political theory to address contemporary challenges in governance, policy, and public opinion. Students engage in hands-on data analysis, research projects, and collaborative learning to develop expertise in both domains. This degree is ideal for those seeking to bridge the gap between political analysis and data-driven decision-making.
What you'll do
- Develop advanced skills in data collection, cleaning, and analysis using statistical and computational tools.
- Apply machine learning and big data techniques to political research questions.
- Conduct independent research projects on political phenomena using data-driven methodologies.
- Engage in collaborative learning and interdisciplinary discussions with peers from diverse academic backgrounds.
- Develop expertise in interpreting and communicating data-driven insights for policy-making contexts.
- Participate in seminars, workshops, and research presentations to refine analytical and critical thinking skills.
Requirements
Degree required: Primary degree (Bachelor’s) with at least Second Class Honours Grade 1 (2H1), equivalent to a minimum of 60% or a GPA of 3.0 (American system).
Degree offered: MSc
Language: English proficiency: TOEFL 600 (paper-based), IELTS 6.5, or equivalent (e.g., Cambridge English Test: Certificate in Advanced English Grade B or Certificate of Proficiency in English Grade C). Applicants with prior degrees from English-speaking universities may be exempt.
Instruction: English
- Strong analytical and quantitative reasoning skills.
- Basic proficiency in statistical software (e.g., R, Python, or SPSS).
- Ability to work independently and collaboratively in interdisciplinary settings.
- Open to domestic (EEA) and international (non-EU) applicants for full-time study.
- Part-time study open only to domestic (EEA) applicants.
- Recognition of Prior Learning (RPL) may be considered for admission or credit exemptions.
Funding & terms
Programme and admissions
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- Intake
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- Duration
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- Taught / research mode
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How to apply
Deadline: unknown
Applicants must apply online through the University College Dublin Graduate Applications Portal. Submit a CV, academic transcripts, proof of English proficiency (if required), and a personal statement outlining research interests and career goals. Additional documents may be requested depending on individual merit.
- CV
- Academic transcripts (Bachelor’s degree)
- Proof of English proficiency (if applicable)
- Personal statement
- Two letters of recommendation (may be requested)
Contact
UCD Graduate Admissions· Admissions Office
http://www.ucd.ie/registry/prospectivestudents/admissions/graduateapplicants/
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