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.
Certificate Requirements
Students must complete a minimum of 2.0 credits as follows:
1. 0.5 credit from the following:
SOCB35H3 Numeracy and Society
STAB23H3 Introduction to Statistics for the Social Sciences
2. SOCC70H3 Models of the Social World
3. At least 1.0 credit from the following:
CSCA20H3 Introduction to Programming or equivalent
GGRB30H3 Fundamentals of GIS I
GGRB32H3 Fundamentals of GIS II
GGRC30H3 Advanced GIS
GGRC32H3 Essential Spatial Analysis
GGRC42H3 Making Sense of Data: Applied Multivariate Analysis
HLTC27H3 Community Health and Epidemiology
POLD56H3 Politics and Computational Social Science
POLD87H3 Rational Choice and International Cooperation Essential Spatial Analysis
