The new MSc in Politics and Data Science at UCD, equips students with the theoretical knowledge and methodological skills necessary to examine and understand politics in the digital age. The MSc in Politics and Data Science is an exciting programme for all students interested in data science and social science and in particular to those who are also interested in politics, international relations and/or development studies.
Fee Remission for MSc in Politics and Data Science @ UCD
This year UCD in partnership with the Higher Education Authority is able to offer full fee remission for new applicants – available for EU students.
Apply here
Courses Starts: Jan 2021
Deadline for Application: 1 Dec 2020
Module offerings are organised around two streams of study: a methodological stream and a substantive stream. The methodological stream grounds students in the methods needed to study digital and digitised politics, including modules on programming and machine learning, quantitative text analysis, statistics, and experimental methods. The substantive stream includes modules relating to comparative politics, international relations, political violence, political economy, building on core strengths within the School of Politics and International Relations.
Students from a social science background are not required to know any statistics or programming prior to entering this programme.
Some core modules, such as Connected_Politics and Programming for Social Scientists, involve extensive group work and applied research in teams, which is an excellent preparation for the job market. Students will also have the opportunity to collaborate with faculty on ongoing research projects.
The job opportunities for students with this degree are excellent, since participants of the MSc in Politics and Data Science will have the required technical skills to do data analysis and simulation modelling, but also a thorough understanding of how social scientists think and conduct research, a solid understanding of politics, and the ability to work within larger teams of data scientists.
For further questions about the programme, please contact Martijn Schoonvelde.
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