Eligibility Requirements for Dublin MSc in Social Data Analytics

65/100

Bachelor's GPA Requirement

5

Maximum Backlogs Accepted

Dublin MSc in Social Data Analytics Program Description

The MSc in Social Data Analytics is a one year taught programme, delivered by schools within the College of Social Sciences and Law (Sociology), and College of Science (Computer Science). It equips students with a range of social scientific, computational, informational, statistical, and visual analytics skills, for the analysis of large or complex data that arise from human interaction. Students will receive training in sociological analysis, as well as core coding and programming skills, allowing them to avail of emergent technologies to manage real-world challenges, and conduct informed decision making. Students can also opt to complete an internship as part of their studies. The MSc in Social Data Analytics is suitable for graduates of social science or computer science programmes, or related disciplines such as psychology, politics, geography, or economics who want to develop their analytical skills further.


Program URL:https://sisweb.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=PROG&MAJR=W390

Dublin MSc in Social Data Analytics Program Curriculum

  • Recommender Systems and Collective Intelligence
    Relational Databases and Information Systems
    Spatial Information Systems
    Data Science in Python
    G.I.S. and Data Analysis
    Information Visualisation
    Machine Learning
    Big Data Programming
    Demographic Analytics: Theory and Application
    Research Data Management
    Inequality and Instruments
    Global Migration
    Population Geography
    Comparing Healthcare Systems
    Social Entrepreneurship 
    Deep Learning
    Opportunity Generation and Recognition
    Introduction to Artificial Intelligence

Electives

  • Recommender Systems and Collective Intelligence
    Relational Databases and Information Systems
    Spatial Information Systems
    Data Science in Python
    G.I.S. and Data Analysis
    Information Visualisation
    Machine Learning
    Big Data Programming
    Demographic Analytics: Theory and Application
    Research Data Management
    Inequality and Instruments
    Global Migration
    Population Geography
    Comparing Healthcare Systems
    Social Entrepreneurship 
    Deep Learning
    Opportunity Generation and Recognition
    Introduction to Artificial Intelligence
  • Analytical Sociology
    Social Simulation
    Quantitative Data Analytics and Applications
    Dynamic Social Networks
    Introduction to Programming 1
    Introduction to Programming 2
    Students must also choose one of the following options:
    • A. Masters Dissertation
    • B. Internship and capstone research project
  • Data Science

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