MSc Applied Social Data Science

The Applied Social Data Science programme at Trinity College Dublin offers both an MSc and a Postgraduate Diploma, as well as an MSc 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 programme covers a broad range of topics, including applied statistical analysis, machine learning, quantitative text analysis, experimental methods, and spatial data analysis, as well as other specialized topics in social data science. Students who are enrolled in the MSc in Applied Social Data Science will have the opportunity to conduct a dissertation under the guidance and supervision of an experienced academic staff member.

Graduates of the Applied Social Data Science programme will be well-equipped for a wide range of careers in the public, private, and nonprofit sectors, including data scientist, social media analyst, policy analyst, and market researcher. In addition, they may be well-suited for roles in government agencies, think tanks, and advocacy organizations. The programme also provides a strong foundation for further study at the doctoral level in a wide range of social science disciplines.

Trinity College Dublin is Ireland's oldest and most prestigious university, with a strong tradition of excellence in research and teaching. The Applied Social Data Science programme is suitable for students with a background in social sciences, computer science, or a related field. Professionals looking to develop their data science skills and apply them to social problems are also encouraged to apply. Contact us for more information on this exciting and unique programme.

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€23,000 Per Year

International student tuition fee

1 Year

Duration

Sep 2024

Start Month

Aug 2024

Application Deadline

Upcoming Intakes

  • September 2024
  • September 2025

Mode of Study

  • Full Time