About the Department of Computational Social Science

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The increasing integration of technology into our lives has created unprecedented volumes of data on society’s everyday behaviour. Such data opens up exciting new opportunities to work towards a quantitative understanding of our complex social systems, within the realms of a new discipline known as Computational Social Science.

MSc. Computational Social Science is one of the new postgraduate programmes being offered by CUAP from the academic year 2024-2025 in tune with the National Education Policy, 2020. Computational social science is an exciting new field that combines the methods and tools from computer science and data science with the fundamentals of social science disciplines. It draws inspiration from the experimental, social, and behavioral sciences, merging their explanatory focus with the predictive capabilities of large-scale data. This integrative approach, combined with the creation of robust research infrastructure, allows computational social scientists to pursue replicable, cumulative, and ultimately useful solutions.

Programme Objectives

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To comprehend the foundations of interface between computer science and the traditional social sciences in order to use computational methods to analyze and model social phenomena, social structures, and collective behavior.

To discover how social networks and human dynamics create social systems and recognizable patterns.

To enable the students to undertake web scrape online data, create social network visualization with it, and use machine learning to analyze its content, opinions regarding contemporary national or international issues and policies.

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Download the syllabus

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Faculty Profile

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