Statistics and Data Science at UH

The Statistics and Data Science group in the Department of Mathematics at the University of Houston conducts research in modern statistical theory, methodology, computation, and interdisciplinary data science.

Located in Houston, our group benefits from opportunities for collaboration across healthcare, energy, engineering, technology, and the life sciences. Through research, graduate education, and seminars, we aim to advance statistical science and train the next generation of statisticians and data scientists.

Graduate Programs

PhD in Statistics and Data Science

The PhD in Statistics and Data Science is a research-focused doctoral program that prepares students for careers in academia, industry, government, and other research-intensive environments.

Students receive rigorous training in probability, mathematical statistics, linear models, statistical computing, Bayesian statistics, statistical consulting, and modern data science. The curriculum also provides opportunities for advanced study in areas such as nonparametric statistics, time series, deep learning and neural networks, spatial statistics, uncertainty quantification, stochastic processes, optimization, and machine learning.

A central component of the program is original dissertation research conducted under the supervision of a faculty advisor. Students also participate in the Statistics Seminar and gain experience through statistical consulting and other research activities.

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MS in Statistics and Data Science (MSDS)

The MS in Statistics and Data Science is a one-year, 30-credit graduate program designed to prepare students for careers in statistics, data science, analytics, and related quantitative fields.

The program emphasizes statistics as the foundation of data science while integrating modern computational methods, data mining, machine learning, and hands-on analysis of real-world datasets. Students develop both theoretical understanding and practical skills through coursework, applied projects, and an internship component.

Graduates pursue careers across a wide range of industries, including energy, healthcare, finance, insurance, technology, consulting, and government.

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Research Areas

Our faculty conduct research across statistical theory and methodology, Bayesian and high-dimensional statistics, computational statistics, data science and machine learning, spatial and temporal modeling, and biostatistics and computational biology. Research also includes statistical genomics, single-cell and spatial omics, biomedical data science, and applications across science and engineering.