The Ph.D. in Computational Communication is a research-oriented doctoral program that focuses on the intersection of communication studies, data science, and computational methods. The program integrates theories from communication, computer science, artificial intelligence, network analysis, and data analytics to study how digital technologies, algorithms, and large-scale data influence communication processes and social behavior. Doctoral candidates conduct original research on topics such as social media analytics, information diffusion, online public opinion, algorithmic communication, computational modeling of discourse, and digital communication patterns. Through advanced coursework, seminars, and the completion of a dissertation, students develop strong skills in computational research methods, data analysis, and theoretical interpretation. Graduates are prepared for careers in academia, communication research, digital media analysis, social media strategy, data-driven policy advising, technology consulting, and roles in organizations leveraging computational approaches to study and manage communication, as well as for advancing scholarship in computational and digital communication studies.

NOTE: The university may have additional program-specific eligibility requirements.
It is recommended to verify these on the official university website.