PhD Statistics and Data Science – Statistical Informatics
The Statistics & Data Science Graduate Interdisciplinary Program offers interdisciplinary courses of study leading to the Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees in Statistics and Data Science – Statistical Informatics at University of Arizona along with a 12-unit Graduate Certificate.
|Full-time Duration:||2.5 years|
|Starting in:||August, January|
|Tuition Fee:||$10,063 per semester|
|Location:||Tucson, United States|
A Ph.D. minor in Statistics and Data Science – Statistical Informatics at University of Arizona is also available for students already registered into a Ph.D. program other than Statistics here at the UA. 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.
- Statistical Genetics for Quantitative Measures
- Advanced Applied Econometrics
- Biostatistics for Research
- Applied Biostatistics Analysis
- Data Management and the SAS Programming Language
- Analysis of Categorical Data
“Choosing the Master’s program for Physiological Sciences at the University of Arizona was one of the best decisions I could have made in my education. Our department is warm and collaborative, offering an array of research topics and techniques underneath a vast and integrative umbrella of physiology. Beyond my research experience, I was presented with teaching opportunities, which I feel honed my skill of scientific communication. Having the dynamic research/teaching/class schedule not only kept me active but helped me reinforce material in multiple contexts. Overall, this program was exactly what I wanted in my segway into the medical sciences… and with my teaching assistantship paying for my tuition, how could I say no?”
Andrew Wojtanowski // MS 2016