MSc in Applied Social Data Science

Course Overview

This one-year full-time programme provides comprehensive training in quantitative social science and data analytics. Students learn to apply statistical, computational, and machine learning techniques to real-world social problems such as poverty, inequality, and political behaviour.

The course covers applied statistical analysis, programming, machine learning, quantitative text analysis, and experimental and spatial data methods. Small class sizes, a focus on problem-based learning, and close interaction with academic staff foster an engaging and supportive learning environment.

Students also complete an independent dissertation under the supervision of academic experts, developing their own research project and gaining hands-on experience in applied data science.

Is it for me?

This MSc is ideal for students and professionals with a strong interest in understanding the social world through data. It suits those who wish to combine social science inquiry with advanced quantitative techniques to solve real-world problems in areas such as policy, governance, and social change.

Applicants typically come from social science, computer science, statistics, or related disciplines. The programme also attracts graduates from other fields who are keen to apply data-driven approaches to the study of society and politics.

What makes this programme unique?

• Research excellence: Taught within Ireland’s highest-ranked Department of Political Science, known internationally for its expertise in quantitative research methods
• Practical focus: Develop the ability to collect, analyse, and interpret complex social data to address real-world issues.
• Interdisciplinary approach: Combines data science techniques with social science theory to understand and solve contemporary social challenges.
• Active learning: Engage in seminars and discussions that strengthen critical thinking and deepen your understanding of quantitative research.
• Strong progression routes: Graduates are well prepared for doctoral research or careers in government, policy, consulting, and the non-profit sector.

Your Career

The MSc in Applied Social Data Science provides a strong competitive edge in the rapidly growing market for data-driven professionals. Graduates develop advanced analytical and research skills that are highly valued across high-productivity sectors, including information technology, consulting, financial services, logistics, and risk assessment, as well as in government, NGOs, and academia.

A distinctive feature of the programme is its combination of quantitative methods from computer science and statistics with social science research skills. This blend prepares graduates to design and apply data-driven solutions to real-world challenges - from analysing large-scale political communication and forecasting social or economic trends, to supporting evidence-based policymaking and social innovation.

Graduates are well equipped for roles such as data scientist, policy analyst, market researcher, and social data specialist, or for further doctoral study. International students may also be eligible to remain in Ireland for work experience after graduation under the Stamp 1G visa scheme.

Course Structure

The MSc comprises 60 ECTS of taught modules and a 30 ECTS dissertation.

• Semester 1: Modules in computer programming, applied statistical analysis, and research design.
• Semester 2: Modules in machine learning, forecasting, quantitative text analysis, and optional specialist modules.
• Dissertation: Conducted after completion of coursework, supervised by a faculty member.

All modules combine weekly seminars, tutorials, and hands-on exercises. Students are required to bring their own laptop (Mac/Windows/Linux). Tablets are not suitable for coursework.

Visit the Module Outlines section for further details.

Admissions Requirements

Admission is competitive. Applicants should normally hold at least a 2.1 honours degree (or equivalent). A background in social science, computer science, statistics, or related disciplines is advantageous but not essential.

International applicants should hold a GPA of at least 3.3 out of 4 (or equivalent).

Visit the Admission Requirements section for further details.

Fees

For information on fees, please visit the Academic Registry website.

The Department is not currently in a position to offer scholarships or fee waivers to incoming students. Prospective applicants are encouraged to explore external funding options, including:

• Student Grant Scheme
• Trinity College Postgraduate Scholarships
• Funding supports in students’ home countries (in the case of international students)
• Tax relief on tuition fees

Further Information

For general queries please contact the Postgraduate Programme Coordinator.
Email: msc.asds@tcd.ie

For academic queries, please contact the Course Directors.
Dr Jeffrey Ziegler: zieglerj@tcd.ie
Dr Tom Paskhalis: tom.paskhalis@tcd.ie

Before emailing, please review the course’s Frequently Asked Questions.