Social Data Science University College Dublin

Overview

The MSc in Social Data Science at University College Dublin (UCD) is designed to provide a robust interdisciplinary education, merging social sciences with computational methodologies. This master's programme, which spans one year for full-time students, is structured to equip graduates with a diverse skill set in social scientific analysis, programming, statistical techniques, and data visualisation. The curriculum is tailored for those interested in exploring the vast amounts of data generated by human interactions in the digital realm, enabling them to address societal challenges effectively.

UCD is renowned for its leadership in sociological research and education in Ireland. The School of Sociology, which hosts this programme, stands as the largest teaching centre for sociology in the country. Students benefit from a strong academic foundation, access to cutting-edge research facilities, and a vibrant academic community. UCD's reputation for excellence in teaching and research ensures that graduates are well-prepared for the evolving job market.

The tuition fees for the MSc in Social Data Science are as follows:

• International students: EUR 22,600 per year
• European students: EUR 9,100 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The programme comprises a variety of modules that cover essential topics in social data science. Key modules include:

• Social Simulation: Methods and Models
• Research Design
• AI and Society
• Introduction to Programming I
• Information Visualisation
• Machine Learning
• Data Programming with R
• Quantitative Text Analysis
• Workshop in Qualitative Research
• Dissertation or Internship

This diverse syllabus ensures that students acquire both theoretical knowledge and practical skills, preparing them for real-world applications.

Graduates of the MSc in Social Data Science are well-positioned to enter a variety of sectors, including government, private industry, and academia. They can pursue roles in data analysis, policy evaluation, and social research, among others. Alumni have found opportunities in IT, finance, consultancy, education, and health sectors, where they leverage their expertise in data to inform decision-making processes. The programme not only enhances their employability but also equips them with the skills to make meaningful contributions to society through data-driven insights.