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Computational Social Sciences (Certificate NDP)

The Computational Social Sciences (Certificate NDP) program is offered by University of Arizona.

Quick Facts

 
Full-time Duration:  
Starting in: August
Tuition Fee: $10,063 per semester
Location: Tucson, United States

Computational social science (CSS), can be broadly understood as using computational techniques to analyze social science data or create social simulations,

  • whether that data be large scale data that requires high speed computing capacities (i.e., “big data”)
  • data that is of more modest scale but requires computationally-intensive processes (i.e., analyzing sets of texts, sounds, impacts, social networks, sensors, or sensory touch data)
  • data collected online through scraping or interaction (e.g., online experiments)
  • and data that is amenable to tools from machine learning or similar modalities, among other kinds of data

Educational Opportunity

Distinct from engineering disciplines, analyzing these data from a social science perspective also requires attention to the social origins and meaning of these data, the samples or structured populations from which data may be drawn, the reasonableness of extrapolation from these data to larger populations or other social settings, research ethics, and epistemology among other concerns

Program Structure

  • While there is no singular, consensual definition of computational social science (CSS), it can be broadly understood as using computational techniques to analyze social science data or create social simulations, whether that data be large scale data that requires high speed computing capacities (i.e., “big data”), data that is of more modest scale but requires computationally-intensive processes (i.e., analyzing sets of texts, sounds, impacts, social networks, sensors, or sensory touch data), data collected online through scraping or interaction (e.g., online experiments), and data that is amenable to tools from machine learning or similar modalities, among other kinds of data.

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“Choosing the Master’s program for Physiological Sciences at the University of Arizona was one of the best decisions I could have made in my education. Our department is warm and collaborative, offering an array of research topics and techniques underneath a vast and integrative umbrella of physiology. Beyond my research experience, I was presented with teaching opportunities, which I feel honed my skill of scientific communication. Having the dynamic research/teaching/class schedule not only kept me active but helped me reinforce material in multiple contexts. Overall, this program was exactly what I wanted in my segway into the medical sciences… and with my teaching assistantship paying for my tuition, how could I say no?”​

Andrew Wojtanowski // MS 2016