Applied Social Data Science

Course Overview

The MSc in Applied Social Data Science is a one-year, full-time programme which introduces students to fundamentals in quantitative social science research methods and state-of-the-art analytic approaches from the fields of statistics and machine learning. Graduates of the course will acquire a rich repertoire of social scientific research design skills grounded in the scientific method and data analytic methods that are widely sought after in the private, public, and non-profit sectors.



Is this course for me?

The programme is based in Ireland’s highest ranked Department of Political Science. Our department enjoys a strong reputation internationally for its staff who rely on quantitative research methods, and who are well published in leading peer-reviewed academic journals. Staff research agendas include core skills offered in the Applied Social Data Science programme, including computer programming, statistical modelling, machine learning, quantitative text analysis and forecasting.



You will acquire fluency in widely used programming languages and gain the skills to collect and manage big data-sets. You will learn how to apply and critically assess computational and statistical models to solve real-world social problems. Seminars and class discussions will provide you the opportunities to enhance your critical thinking skills and acquire an in-depth understanding of quantitative social scientific research.



This programme is for students with a strong interest in the social world and who wish to learn how to effectively apply cutting-edge quantitative methods to solve real-world political, economic, and social problems.

First Semester: To start the course, you will take modules in computer programming, applied statistical analysis and research design.



Second Semester: Next, you will dig deeper by taking modules in machine learning, forecasting methods, and quantitative text analysis.



Dissertation: Finally, you will complete a key piece of research related to your field of study over the summer months.

Admission Requirements

Admission to the course is competitive. Applicants will be expected to hold an upper second class honours (2:1) degree or higher from an established university. A background in a social science discipline or computer science, statistics, or other related discipline will be an advantage but is not required. Applications are expected from candidates who wish to acquire practical knowledge in using cutting-edge statistical methods to answer social scientific questions.



GPA scores of at least 3.3 out of 4, or equivalent, will be expected from international applicants.



English Language Requirements

All applicants to Trinity are required to provide official evidence of proficiency in the English language. Applicants to this course are required to meet Band B (Standard Entry) English language requirements. For more details of qualifications that meet Band B, see the English Language Requirements page

Closing Date: 31st July 2026

1 year full-time.

Next Intake: September 2026

Career Opportunities

The M.Sc. in Applied Social Data Science award from Trinity is expected to provide you with a competitive edge in the rapidly expanding job market for data scientists:



-You will acquire valuable skills which are sought after in the high productivity sectors, including information technology, consulting, financial services, risk-assessment, logistics, as well as positions in government, NGOs and academia.

-You will become fluent in two very popular (and demanded) programming languages, R and Python.

-You will gain working knowledge and application experience in advanced statistical analysis, machine learning and important applications such as social forecasting and quantitative text analysis.

-You will gain significant experience with methods and approaches to researching social behavioural phenomena within the context of the digital revolution and big data.



A unique trait of the M.Sc. in Applied Social Data Science programme is that it combines rigorous training in methods from computer science and statistics with social science research skills. There is high demand for social scientists who can apply machine learning and statistical methods for data-driven solutions to challenges faced by governments, political groups, and civil society organisations. For instance, political organisations seek employees who can use computational approaches to analyse large-scale digitised collections of political communication, including social media feeds of elected officials, transcripts of parliamentary debates, and government agency press releases. Government agencies seek employees with experience in applying statistical forecasting methods to predict international conflict, terrorism, and disease outbreaks. Non-profit organisations are keen to hire people who are able to apply machine learning and natural language processing methods to help create data-driven solutions for disabled people. These are just a few examples of the jobs our graduates can pursue with the knowledge that they will have gained from the programme.



For non-EU students, it is possible to stay and work in Ireland following course completion using a Stamp 1G visa; see the Trinity Careers Service and the Department of Justice and Equality site for details.