MSc in Statistics and Data Science in Tucson United States | University of Arizona

University of Arizona | Tucson United States
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Qualification
Masters Degree
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
USD 33,992
Attendance
Full-time
Full-time Duration
24 months

The Statistics & Data Science Interdisciplinary Program provides cross-disciplinary education paths for both Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees in Statistics (including standard and statistical informatics tracks), as well as a 12-credit Graduate Certificate. Students enrolled in other UA Ph.D. programs can pursue a Statistics minor. We aim to cultivate future data science professionals equipped to handle contemporary challenges in interdisciplinary data collection, processing, and interpretation.
Our GIDP promotes statistical and quantitative approaches across diverse fields including life sciences, physical sciences, engineering, finance, and social sciences. The curriculum builds fundamental skills in statistical theory while preparing students for real-world applications in specialized domains such as biometry, bioinformatics, biostatistics, econometrics & financial analytics, educational measurement, operations research & probability applications, psychometrics, spatial/temporal analysis, statistical genetics/genomics, stochastic systems, and quantitative risk evaluation.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 7.0

Qualification Requirements

For admission to the M.S. Program in Statistics, applicants must have or be in the process of completing a Baccalaureate Degree, either in a mathematical field or a field that makes significant use of quantitative methods, with at least a 3.0 overall grade point average (GPA). A previous degree in Statistics or Biostatistics is useful, but not required.
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 (at the level of MATH 125, MATH 129, MATH 223), one semester of Linear Algebra (at the level of MATH 215), and experience with computer technologies.
For M.S. and Ph.D. applicants, at least one introductory course in statistical methods (at the level of MATH 263) is required. In addition, at least one semester of upper-division Probability (e.g., MATH 464) and (for Ph.D. students) two semesters of upper-division Real Analysis (e.g., MATH 425A-425B) are strongly recommended.
M.S. and Ph.D. applicants MAY show scores on the Graduate Record Examination (GRE - general test only) that exceed 75th percentile Quantitative and 50th percentile Verbal. (GRE scores must be dated no older than five years from the time of application to the program.) The GRE is not required but it is recommended.

Applicants from non-English-speaking countries must exhibit proficiency in English as per the Graduate College's basic requirements for this proficiency: a minimum score on the Test of English as a Foreign Language (TOEFL) of 550 paper based (PB) or 79 internet-based (iBT).
The International English Language Testing System (IELTS) examination can be submitted in lieu of the TOEFL. The minimum IELTS score requirement for admissions consideration is a score of 7, with a score of no less than 6 on any individual module.
Test of English as a Foreign Language (TOEFL) - minimum score of 79 iBT (or 60 on the revised PBT with no section score lower than 15). Individual MyBest scores must also be dated within 2 years of the enrollment term to be considered valid.

Tuition USD 33,992

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