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University of Arizona logo

Statistics Interdisciplinary Program

University of Arizona Rank #101
Tuition USD 1,622 (Tuition (Module)) — International students; USD 800 (Tuition (Module)) — National students
Degree Postgraduate Certificate
Duration 12 months
Deadline 2031-07-18
Delivery Online
Location Tucson, United States
Language English

Program Overview

The Statistics Interdisciplinary Program at University of Arizona is a Postgraduate Certificate programme in Mathematics & Statistics over 12 months, delivered Online. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.

Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of mathematics & statistics. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.

Graduates of the Statistics Interdisciplinary Program programme are well-prepared for careers in academia, industry, government, and the private sector across United States and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.

Key Program Features

  1. Duration: 12 months
  2. Language of instruction: English
  3. Study mode: Online
  4. Tuition: USD 1,622 (Tuition (Module)) — International students; USD 800 (Tuition (Module)) — National students

Career Opportunities

Graduates of the Statistics Interdisciplinary Program programme are prepared for diverse careers in mathematics & statistics:

  1. Actuary
  2. Quantitative Analyst
  3. Data Analyst
  4. Risk Manager
  5. Financial Modeller
  6. Statistical Researcher

Program Curriculum

Course Structure

  1. Theory of Statistics
  2. Statistical Bioinformatics and Genomic Analysis
  3. Statistical Genetics for Quantitative Measures
  4. Introductory Mathematical Statistics for Economists
  5. Analysis of Categorical Data,
  6. Categorical Data Analysis
  7. Analysis of High Dimensional Data
  8. General Linear and Mixed Effects Models
  9. Advanced Data Analysis: Multilevel Modeling
  10. Survival Analysis
  11. Biostatistics Seminar
  12. Spatio-temporal Ecology
  13. Introduction to Econometrics
  14. Quantitative Methods in Economics
  15. Engineering Statistics
  16. Econometrics
  17. Advanced Applied Econometrics
  18. Econometrics
  19. Applied Econometric Analysis
  20. Theory of Measurement
  21. Advanced Data Analysis: Structural Equation Modeling
  22. Advanced Data Analysis: Dyadic Data Analysis
  23. Applied Time Series Analysis
  24. Time Series Analysis
  25. Probability Theory
  26. Statistical Machine Learning
  27. Practical Skills for Next Generation Sequencing Data Analysis
  28. Engineering Decision Making Under Uncertainty
  29. Simulation Modeling and Analysis
  30. Theory of Probability (available for online students)
  31. Theoretical Statistics

Admission Requirements

Academic Requirements

You need the following GPA score:

Required score: 3

Applicants for graduate programs must have the equivalent of a bachelor\xe2\x80\x99s degree with a minimum GPA equivalent to 3 on a US 4.0 grading scale. Admitted applicants typically have an undergraduate GPA of or better on a 4.0 scale. No exam grade should be lower than 4.5 (European grade scale) or D (American grade scale).

Your GPA (Grade Point Average) is calculated using the grades that you received in each course, and is determined by the points assigned to each grade (e.g. for the US grading scale from A-F).

Admission Requirements:

For admission to the Graduate Certificate 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.

Tuition & Financial Information

Tuition Fee

USD 1,622 (Tuition (Module)) — International students; USD 800 (Tuition (Module)) — National students

Tuition fees: USD 1,622 (Tuition (Module)) — International students; USD 800 (Tuition (Module)) — National students

Financial Aid & Scholarships

Contact University of Arizona directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.

About University of Arizona

University of Arizona logo

University of Arizona

Tucson, United States

University of Arizona is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their chosen fields. The...

University Profile
  • Application Deadline 2031-07-18
  • Start Date 2018-08-22
  • Language English
  • Duration 12 months