Applied Social Data Science (P.Grad.Dip)

Program Overview

The Applied Social Data Science program at Trinity College Dublin equips students with data science techniques to address social issues like poverty and inequality. The one-year program covers core modules in computer programming, statistical analysis, machine learning, and quantitative text analysis. Graduates acquire skills in social scientific research design and data analytics, making them highly sought after in various sectors, including technology, consulting, and government.

Program Outline

Outline:

• The Applied Social Data Science programme at Trinity College Dublin offers both an M.Sc.
and a Postgraduate Diploma, as well as an M.Sc. top-up option for graduates of the Postgraduate Diploma programme.
• This one-year, full-time programme is designed to equip students with the skills and knowledge necessary to apply data science techniques to real-world social problems, such as poverty, inequality, and social exclusion.
• The one-year programme covers a wide range of core modules which will help you expand your quantitative research methods toolkit.
• In their first semester, students will take modules in computer programming, applied statistical analysis and research design.
• In their second semester, students will dig deeper by taking modules in machine learning, forecasting methods, and quantitative text analysis.
• All modules are taught around a weekly seminar with tutorial sessions and assessed with a mix of homework, exams, and research papers.
• Students are expected to bring their own laptop (Mac/Windows/Linux) for use in seminars and tutorials throughout the course.

Careers:

• 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.
• The Applied Social Data Science postgraduate diploma 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.
• 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.