關於課程
This programme is built around quantitative and computational social science methods and tools applied to substantive and methodological research questions in the social sciences. The programme brings together the perspectives and research methods of various disciplines such as Economics, Politics, Sociology and Statistics. The QCSS programme provides students with rigorous training in quantitative research and methods, including quantitative text analysis, machine learning, computer vision techniques, agent-based modelling, network analysis, and causal inference. Students will apply these methods in their PhD thesis to answer substantive research questions in Social Sciences.
Duration: 3-4 Years Full Time
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Entry requirements for 都柏林大學
For the structured PhD programme in Quantitative and Computational Social Science, applications are welcomed from applicants with a Master’s degree in data science, computer science, quantitative political science, economics, statistics, and other social science subjects. Applicants to our research degree programmes must have completed and earned a minimum of a 2.1 grade (GPA: 3.6) in a taught Masters (MA, MSc, MLitt, etc.) programme.
IELTS An average score of 6.5 over all components and a minimum of 6.0 in each band on the Academic Version.
Toefl A minimum score of 90 is required in the Internet based TOEFL (iBT) with no less than 21 in writing and at least 19 in every other section.
English language requirements
托福(TOEFL iBT)總分: 90.0
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