MSc Politics & Data Science (Part-Time)

2 Year On Campus Masters Program

University College Dublin

Program Overview

The MSc Politics & Data Science at University College Dublin (UCD) is a cutting-edge programme that blends political science with advanced data science, preparing graduates to tackle the impact of AI, machine learning, and large language models on politics and society. It’s ideal for students from both social science and technical backgrounds who want to bridge disciplines and gain highly employable skills.

Program Overview

The MSc Politics & Data Science offers a unique combination of political theory and computational methods, equipping students to critically assess how technology shapes political discourse, public opinion, and policymaking. It suits applicants eager to explore the intersection of politics and data science, whether they come from social sciences or technical fields.

Curriculum Structure

Year 1 (Full-Time)

Foundations in Statistics & Programming: Students begin with Introduction to Statistics and Programming for Social Scientists, gaining proficiency in R and Python while learning regression, hypothesis testing, and simulation modelling.
Applied Data Science: Modules like Applied Data Wrangling and Visualisation teach practical skills in cleaning, managing, and visualising large datasets, including SQL and web scraping.
Text & AI Analysis: Courses such as Quantitative Text Analysis and AI and Language Models in Politics provide hands-on experience with transformer models, word embeddings, and ethical considerations in deploying AI for political contexts.
Collaborative Research: The Connected_Politics group project allows students to apply machine learning, network analysis, and text analysis to real-world political questions, often leading to conference presentations or publications.

Internship or Thesis

Students may choose between completing a traditional dissertation or undertaking a 480-hour internship with organisations such as the EU, UN, WTO, or World Bank, gaining direct professional experience.

Year 2 (Extended Pathway)

Advanced Machine Learning in Social Science: Students deepen their expertise with modules such as Supervised & Unsupervised Learning for Political Data, applying neural networks and ensemble methods to complex datasets.
Policy Simulation & Predictive Analytics: Courses like Simulation Modelling for Political Behaviour and Predictive Analytics in Governance train students to forecast electoral outcomes, policy impacts, and public opinion shifts using advanced computational models.
Research Laboratory Engagement: Continued involvement in the Connected_Politics Lab, where students lead independent projects, mentor Year 1 cohorts, and contribute to collaborative publications.
Capstone Dissertation or Extended Internship: Students complete a major dissertation or pursue a second internship placement, often with international organisations or research institutes, consolidating their professional and academic expertise.

Focus Areas

Generative AI and large language models in politics
Machine learning applications in social science
Quantitative text analysis and political discourse
Ethical implications of AI in policymaking

Learning Outcomes

Ability to apply advanced data science techniques to political and social questions
Critical understanding of political behaviour, institutions, and processes
Skills in statistical modelling, programming, and collaborative research
Capacity to evaluate ethical and societal impacts of AI in politics

Professional Alignment (Accreditation)

Graduates are prepared to join data science teams in government, corporate, and international organisations, or pursue PhD research in quantitative social science. The programme is aligned with UCD’s reputation as Ireland’s oldest and largest School of Politics & International Relations.

Reputation (Employability Rankings)

World Top 150 in QS Rankings 2025 for Politics
UCD School of Politics & International Relations has 150+ years of expertise and is the largest of its kind in Ireland.

Experiential Learning (Research, Projects, Internships etc.)

Students in UCD’s MSc Politics & Data Science don’t just study theory — they actively build practical expertise by working with advanced computational tools, collaborative projects, and real-world internships. The program is designed to immerse you in hands-on learning, from coding and text analysis to applied research in UCD’s Connected_Politics Lab, ensuring you graduate with skills that employers and research institutes value immediately.

Experiential Learning

You’ll gain practical skills through a mix of technical training, collaborative research, and professional engagement. The program integrates cutting-edge software, group-based projects, and opportunities to apply your knowledge in real-world contexts. Facilities such as the Connected_Politics Lab and UCD’s extensive digital resources provide the perfect environment to experiment, innovate, and refine your expertise. Here’s how experiential learning comes to life in this program:

Specialist Software & Tools: Training in R, Python, SQL, and web scraping for data wrangling, statistical modelling, and machine learning applications.
Quantitative Text Analysis: Hands-on use of transformer models, word embeddings, and large language models (LLMs) to study political discourse and public opinion.
Group Research Projects: Collaborative work in the Connected_Politics Lab, where students apply machine learning, network analysis, and text analysis to real political datasets, often leading to conference presentations or publications.
Internship Pathway: Option to complete a 480-hour internship with organisations such as the EU, UN, WTO, or World Bank, gaining direct professional experience in policy and data science.
Dissertation Option: Alternatively, students can undertake a research thesis, applying advanced computational methods to original political science questions.
Seminars & Lab Meetings: Regular Connected_Politics seminars bring together faculty, PhD researchers, and MSc students to discuss new research ideas, hear guest speakers, and refine projects.
Digital & Library Resources: Access to UCD’s extensive digital library collections and computational facilities, supporting both independent and group research.
Interdisciplinary Hub: The program is hosted within UCD’s College of Social Sciences and Law, giving students exposure to interdisciplinary perspectives and networking opportunities across related fields.

This blend of technical training, collaborative lab work, and professional internships ensures you graduate not only with academic knowledge but also with real-world experience and a portfolio of applied projects that set you apart in the job market.

Progression & Future Opportunities

Graduates of UCD’s MSc Politics & Data Science step into careers where political insight meets advanced computational skills. Typical roles include data scientist in government or NGOs, policy analyst in international organisations, AI ethics consultant, and research associate in political data labs. With its blend of political science and machine learning, the program positions you at the forefront of one of the fastest-growing interdisciplinary fields.

Progression & Future Opportunities

Your career trajectory after this MSc is strengthened by UCD’s reputation and the program’s unique experiential learning. You’ll be supported not only by the curriculum but also by UCD’s dedicated career services and professional networks. Here’s how the program translates into real opportunities:

University Career Services: UCD’s Career Development Centre provides tailored workshops, one-to-one guidance, and employer networking events specifically for graduate students, helping you refine applications and connect with recruiters.
Employment Stats & Salary Figures: UCD graduates rank among the most employable in Ireland, with the university consistently placed in the QS Graduate Employability Rankings Top 100 worldwide. MSc graduates in data-related roles often secure salaries in the €40,000–€55,000 range in Ireland, with higher figures in international organisations.
University–Industry Partnerships: The program connects students with the Connected_Politics Lab, which collaborates with institutions such as the EU, UN, WTO, and World Bank, offering internship pathways and research opportunities.
Long-Term Accreditation Value: As an NFQ Level 9 qualification, the MSc is internationally recognised, ensuring long-term value whether you pursue careers in Europe, North America, or Asia.
Graduation Outcomes: Alumni progress into roles across government agencies, think tanks, NGOs, and corporate data teams, or continue into doctoral research in quantitative social science.

Further Academic Progression

After completing the MSc Politics & Data Science, students can continue their academic journey by pursuing a PhD in Political Science or Quantitative Social Science at UCD, often building on research initiated in the Connected_Politics Lab. This pathway allows graduates to deepen their expertise in machine learning, AI ethics, and political analysis, while contributing to cutting-edge interdisciplinary scholarship.