PhD in Statistical Science

The PhD in Statistical Science represents the highest academic attainment for a statistician and, as such, requires in-depth knowledge of modern statistical methodology, theory, and practice.

The degree program is a hybrid of probability, computation, and data analysis; and students are expected to be proficient in all three. Current research areas of key department faculty in the program include biostatistics, modern statistical methodology, big data, data analytics, statistical or machine learning, applied probability, statistical networks, statistical computing, statistical imaging, bioinformatics, financial statistics, Bayesian statistics, data confidentiality, and statistics interfaced with other disciplines.

With so many sectors of industry and government collecting unprecedented quantities of data, the job market is booming for statisticians. In fact, U.S. News & World Report ranks Statistician as the #6 Best Job of 2021.

Faculty conduct research in big data analytics, biostatistics, statistical genetics, statistical graphics, data confidentiality, networking analysis, and data exploration. Full-time graduate students can apply for competitive research and teaching assistantships.

Check the catalog for official degree and admission requirements.

For more information, contact graduate studies co-directors Wanli Qiao and Martin Slawski.

Forms for PhD Students

This degree represents the highest academic attainment for a statistician. It’s the gateway to a fulfilling and lucrative career in industry, the government, or academia.

“I felt a tremendous intellectual satisfaction by completing my dissertation, and it also helped me serve as an adjunct faculty and teach graduate courses.”

— Tigran Markaryan, PhD Statistical Science ’09, Executive Vice President of Custom Analytics at MMA and an adjunct faculty member