PG diploma in Applied Social Data Science, Trinity College Dublin, the University of Dublin

Dublin, Leinster

12 Months

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About this course

The Postgraduate Diploma in Applied Social Data Science at Trinity College Dublin is a one-year, full-time program that introduces students to the fundamentals of social science research methods and advanced analytical approaches, including statistics and machine learning. Graduates will gain a broad set of skills in social scientific research design, grounded in the scientific method, and data analytic methods that are highly valued across various sectors. The program aims to equip students with practical skills to address real-world political, economic, and social issues through data-driven solutions.

Why this course is highly recommended

This program offers a compelling edge in the rapidly expanding data science job market, especially for social scientists. Graduates will have skills that are sought after in IT, consulting, financial services, government, NGOs, and academia. The course content, including machine learning and natural language processing, is tailored to meet high demand for social scientists capable of solving real-world challenges that involve large-scale digital data analysis.

Specialisation

This course focuses on combining social science research methods with state-of-the-art data analysis, machine learning, and forecast techniques. It prepares students to apply quantitative methods efficiently in the social world, including areas like social exclusion, poverty, and inequality.

Course fees

Application fees

13.70L

1st year tuition fees

13.70L

Living cost

Degree requirements

Applicants need an upper second-class Honours (2.1) degree or higher from an established university, with a GPA of at least 3.3 for international applicants. A background in social sciences, computer science, or statistics is advantageous but not mandatory.

English language test

IELTS

6.5

TOEFL

PTE

DUOLINGO

120

Career prospects

Graduates of this program can pursue careers in data science roles across sectors such as technology, consulting, financial services, risk assessment, and logistics. There are opportunities in government, NGOs, and academia as social scientists proficient in machine learning, statistical forecasting, and natural language processing—skills in high demand for analyzing political communication, forecasting conflicts, disease outbreaks, and developing data-driven solutions for social issues.

FAQs

What are the English language requirements?

Applicants must provide evidence of proficiency in English, meeting Band B (Standard Entry) criteria. Specific qualifications that meet this requirement can be found on the English Language Requirements page.

When is the application deadline?

The closing date for applications is 31st July 2025.