PhD in Civil Engineering - Artificial Intelligence and Data Science in College Station United States | Texas A&M University

The field of Artificial Intelligence and Data Science leverages the power of big data and AI to enhance the design, operation, and management of built environments and ecological systems.
This interdisciplinary domain explores diverse research areas such as urban computing intelligence, automated infrastructure assessment, transportation data analytics, disaster informatics, computer-assisted infrastructure engineering, predictive urban analytics, environmental data science, and data-centric approaches to studying ecological phenomena - including climate dynamics and sustainability strategies. The methodological framework broadly incorporates AI, machine learning, network analysis, data mining, visual computing, graph theory, neural networks, and text processing technologies.
The Ph.D. program is a research-intensive degree demanding at least 64 credit hours of approved coursework and research post-M.S. (or 96 credits beyond a B.S.). Both university regulations and the Civil Engineering Department impose specific requirements on these credit allocations.