MS Statistics and Data Science

University of Arizona

Tucson, Arizona, USA
MS Statistics and Data Science
Duration1.5-2 Years
LevelMasters Program
  • The Statistics & Data Science Interdisciplinary Program offers interdisciplinary courses of study leading to the Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees in Statistics (regular track or statistical informatics track), along with a 12-unit Graduate Certificate. 
  • The 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.
Fees componentsAmount
Tuition & fees2315409 INR
Hostel & Meals822485 INR
Insurance199579 INR
Transportation17724 INR
Mandatory Fees97702 INR
Books & Supplies87888 INR
Miscellaneous Expenses292960 INR
International Student Fee29296 INR
iCourse Fee7324 INR
Total1554958 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
Bachelors3.0 GPA
  • 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.
  • Applicants from India must hold:
    • 4 years of accredited bachelor,
    • 3 year accredited bachelor + master;
    • 3 year accredited bachelor + post-grad diploma; or
    • 3-year bachelor by itself provided the degree is at least 120 credits
  • 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. 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) is strongly recommended.
ExamsTOEFL: 79

IELTS: 7
  • No subject area below a 6

PTE: 60

GRE: Accepted
  • Minimum GRE Verbal: must exceed 50th percentile
  • Minimum GRE Quantitative: must exceed 75th percentile

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