Computational social science extends theories and analyses from the social science by leveraging tools and techniques from scientific computing and data science. The Certificate in computational social science provides students with training in statistics, modeling, and programming approaches to the analysis of social problems using data, and fosters critical thinking and communication skills crucial to social science research.
Enrolment in the Certificate in Computational Social Science will be administratively suspended effective October 2, 2026, and students will no longer be able to enrol in the certificate thereafter. Students presently enrolled in the Certificate will be able to complete the certificate requirements as they are described in the Calendar active at the time students first chose the certificate as a Subject POSt. Students who are not enrolled in this certificate but are interested in training that integrates social science theory and perspectives with data science and artificial intelligence methods and tools are strongly recommended to consult the Department of Sociology and the Academic Advising & Career Centre for advising, as well as consider pursuing the Minor in Social Data Science instead. For more information, Students can contact the department at sociologyadvisor.utsc@utoronto.ca.
Certificate Requirements
Students must complete a minimum of 2.0 credits as follows:
1. 0.5 credit from the following:
SOCB35H3 Foundations of Social Data Science
STAB23H3 Introduction to Statistics for the Social Sciences
2. SOCC70H3 Applied Modeling for Social Data Science
3. At least 1.0 credit from the following:
CSCA20H3 Introduction to Programming or equivalent
GGRB30H3 GIS Principles and Applied Mapping
GGRB32H3 GIS in Action: Processing and Analysis
GGRC30H3 Advanced GIS
GGRC32H3 Essential Spatial Analysis
GGRC42H3 Making Sense of Data: An Introduction to Geographic Data Science
HLTC27H3 Community Health and Epidemiology
POLD56H3 Politics and Computational Social Science
