The Statistics & Data Science Graduate Interdisciplinary Program offers interdisciplinary courses of study leading to the Doctor of Philosophy (Ph.D.) degree in Statistics & Data Science (regular track or statistical informatics track). Our mission is to develop the next generation of data scientists, trained to meet the challenges of modern interdisciplinary data extraction, analysis, and interpretation.
The GIDP supports and encourages the central role of statistical and quantitative thinking in the biological, physical, engineering, financial, and social sciences. Necessary training is provided for students to develop core expertise in statistical theory and methodology, and also for students who will apply their statistical knowledge in practical, transdisciplinary research; targeted subject-matter specialties include, but are not limited to biometry, bioinformatics, biostatistics, econometrics & financial statistics, educational statistics, operations research & applied probability, psychometrics, spatial/spatio-temporal analysis, statistical genetics/genomics, stochastic modeling, and quantitative risk assessment.