MSc Politics & Data Science

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

The MSc Politics & Data Science at University College Dublin is designed for ambitious individuals seeking to understand and shape the increasingly data-driven landscape of political science. In an era where generative AI, machine learning, and large language models are profoundly influencing political discourse, public opinion, and policy-making, this programme equips you with the critical analytical and technical skills to navigate these complex dynamics. You will explore the ethical considerations and societal impacts of data science in both democratic and non-democratic contexts, preparing you to contribute meaningfully to the field. This postgraduate degree is ideal if you aim to bridge the gap between political theory and empirical analysis.

This full-time, on-campus Masters degree is studied over one year, offering a dynamic learning experience. You will engage with core modules such as Applied Data Wrangling and Visualisation, and delve into political concepts through Connected Politics. The curriculum supports diverse academic backgrounds, with options to enhance your programming for social scientists skills or explore areas like AI and Society. You will have the opportunity to undertake an internship or a thesis, applying your learning to real-world political challenges. Upon graduation, you will be well-prepared for careers in political analysis, public policy, data science roles within government or NGOs, and further doctoral research.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This MSc program in Politics & Data Science equips students with advanced analytical and computational skills for understanding political phenomena. Core modules cover applied data wrangling, visualization, and connected politics, providing a strong foundation in both data science techniques and political theory. Students will further specialize by selecting from a wide range of optional modules in areas such as statistics, programming, international relations, development studies, and AI, culminating in either an internship or a thesis project.

1 Stage 1 Core Modules

Applied Data Wrangling and Visualisation
Connected_Politics 1
Connected_Politics 2

2 Stage 1 Options - H) Min 0 of:

Introduction to Statistics
Programming for Soc Scientists

3 Stage 1 Options - I) Min 0 of:

Gender and Development
Data & Society
Theories of International Relations
Introduction to Statistics
Politics of European Governance
Politics of Human Rights
Politics and Change in MENA
Peace & Conflict Studies
Gender & the Political System
Politics of International Trade
Feminist Theory
Politics of Development
Theories of Global Justice
Comparative Public Policy
International Political Economy
Comparative European Politics
EU Foreign, Security, and Defence Policy
Theory of Human Rights
Qualitative Research Methods
Gender, Peace, and Security
Political Violence
Quantitative Text Analysis
International Security
Programming for Soc Scientists
IR Theory: Conflict and Identity
AI and Society

4 Stage 1 Options - J) Min 0 of:

Quantitative Text Analysis
Programming for Soc Scientists
AI and Large Language Models

5 Stage 1 Options - K) Min 0 of:

Quantitative Text Analysis
AI and Large Language Models

6 Stage 1 Options - L) Min 0 of:

Gender and Development
Data & Society
Theories of International Relations
Introduction to Statistics
Politics of European Governance
Politics of Human Rights
Politics and Change in MENA
Peace & Conflict Studies
Gender & the Political System
Politics of International Trade
Feminist Theory
Politics of Development
Theories of Global Justice
Comparative Public Policy
International Political Economy
Comparative European Politics
EU Foreign, Security, and Defence Policy
Theory of Human Rights
Qualitative Research Methods
Gender, Peace, and Security
Political Violence
Quantitative Text Analysis
International Security
Programming for Soc Scientists
IR Theory: Conflict and Identity
AI and Society

7 Stage 1 Options - N) Min 1 of:

SPIRe Internship
Thesis

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 26,585.00
Total Program Cost Estimated total tuition
USD 26,585.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 349.00 - USD 849.00
Food & Groceries USD 3,930.00 - USD 5,613.00
Transport USD 842.00 - USD 1,965.00
Utilities & Bills USD 1,404.00 - USD 2,105.00
Estimated Total USD 6,176.00 - USD 9,683.00

Living cost estimates are based on Belfield campus.

Outcomes & Employability

What happens after you graduate

99%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Artificial Intelligence & Machine LearningBrand ManagementClient Services & Account ManagementClinical & Medical ServicesCommercial AviationConstruction Technology & Digital SolutionsCorporate Finance & TreasuryHigher Education & UniversitiesMedical Research & Clinical TrialsMental Health & Counseling

Top Employers Hiring for this course

AIB

Accenture

Amazon Web Services

Bank of Ireland

CGI

EY

European commission

IBM

Why Study MSc Politics & Data Science at University College Dublin

What makes this program stand out

Top 20 in UK For Computer Science

Exeter's Computer Science department consistently ranks among the top 20 in the UK for both teaching quality and research output.

Fast Offers Quick turnaround

Exeter typically responds to applications within 2-3 weeks, giving you clarity on your options quickly.

Flexible Intakes September start

Primary intake in September with January start available for some pathways through the INTO foundation program.

Accredited Industry recognized

Accredited by BCS, The Chartered Institute for IT, meeting requirements for Chartered IT Professional (CITP) status.

Life at University College Dublin in Ireland

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about MSc Politics & Data Science at University College Dublin

Can I work while studying?

International students can work up to 20 hours per week during term time and 40 hours during breaks. No separate work permit is needed as long as students are enrolled full-time in a qualifying program.

What English language score do I need for this course?

English language requirements include a Duolingo overall score of 120, TOEFL overall score of 90, IELTS overall score of 6.5, and PTE overall score of 63. Different components of each test also have specific score requirements.

What jobs can I get after studying this course?

Graduates may pursue careers as political analysts, data scientists, public policy advisors, or work in government and NGOs.

What will I actually study in this course?

This MSc program offers key modules such as Applied Data Wrangling and Visualisation, and explores topics like the ethical considerations of data science. You will gain skills that bridge political theory and empirical analysis.

When can I start — what are the intake months?

The MSc Politics & Data Science program has an intake in September each year. It is a full-time, one-year course designed for those seeking to excel in the fields of politics and data science.
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