30 months
Duration
20126 USD/year
20126 USD/year
11938 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

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. 

Visit the official programme website for more information

Overview

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.

Content

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.

Programme Structure

Courses included

  • 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

Key information

Duration

  • Full-time
    • 30 months

Start dates & application deadlines

Credits

71 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
3
GRE admission requirements GRE®
Required

Other requirements

General requirements

  • For admission to the Ph.D. Program in Statistics, applicants must have or be in the process of completing an M.S. in Statistics, Biostatistics, Mathematics, or Applied Mathematics, or an advanced degree in a field that makes significant use of quantitative methods, with at least a 3.0 overall grade point average (GPA).
  •  A student who wishes to apply to the Ph.D. program without an M.S. and with only a Baccalaureate degree may do so, but is required to meet all other M.S. and Ph.D. entrance requirements as stipulated herein. If her/his application is successful, the student must earn the M.S. in the GIDP "en route" to her/his Ph.D.
  • All students entering the Program are required to have a substantive background in mathematics, including at least three semesters of Calculus through multivariable/vector calculus one semester of Linear Algebra  and experience with computer technologies.

Tuition Fee

To alway see correct tuition fees
  • International

    20126 USD/year
    Tuition Fee
    Based on the tuition of 10063 USD per semester during 30 months.
  • National

    20126 USD/year
    Tuition Fee
    Based on the tuition of 10063 USD per semester during 30 months.
  • In-State

    11938 USD/year
    Tuition Fee
    Based on the tuition of 5969 USD per semester during 30 months.

Living costs for Tucson

830 - 1140 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last year

Check the official programme website for potential updates.

Our partners

Statistics and Data Science - Statistical Informatics
-
University of Arizona

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