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What is Artificial Intelligence and Data Science?

Artificial Intelligence and Data Science focuses on harnessing the big data revolution and artificial intelligence to better design, operate and manage the built environment and environmental systems.

Examples of research areas in this interdisciplinary track include urban intelligence and computing, automated infrastructure monitoring, transportation big data, disaster and multi-hazard engineering informatics, computer-aided infrastructure engineering and management, city-scale predictive analytics, environmental systems analytics, data-driven approaches to understand environmental processes — including climate change — and sustainable decision-making. The data and methodological scope are defined broadly to encompass artificial intelligence, machine learning, complex networks, data mining, computer vision, graph analytics, deep learning and natural language processing.

Degree Information

Students can earn a Ph.D. degree in civil engineering in the Artificial Intelligence and Data Science track.

Doctor of Philosophy

The Doctor of Philosophy (Ph.D.) degree is a research-oriented degree requiring a minimum of 64 semester credit hours of approved courses and research beyond the Master of Science (M.S.) degree [96 credit hours beyond the Bachelor of Science (B.S.) degree]. The university places limitations on these credit hours in addition to the requirements of the Department of Civil Engineering.

A complete discussion of all university requirements is found in the current Texas A&M University Graduate Catalog.