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MSc Statistics and Data Science

Our mission of the Statistics and Data Science at University of Arizona is to develop the next generation of data scientists, trained to meet the challenges of modern interdisciplinary data extraction, analysis, and interpretation.

Quick Facts

 
Full-time Duration: 1 year
Starting in: August, January
Tuition Fee: $10,063 per semester
Location: Tucson, United States

The Statistics & Data Science Interdisciplinary Program offers interdisciplinary courses of study leading to the Master of Science Statistics and Data Science at University of Arizona and Doctor of Philosophy (Ph.D.) degrees in Statistics (regular track or statistical informatics track), along with a 12-unit Graduate Certificate. A Ph.D. minor in Statistics is also available for students already registered into a Ph.D. program other than Statistics here at the UA.

Details

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,

Topics include:

  • Operations research & applied probability
  • Psychometrics
  • Spatial/spatio-temporal analysis
  • Statistical genetics/genomics,
  • Stochastic modeling,
  • Quantitative risk assessment

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“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