General Information

Statistics (Certificate NDP) 
Program Description

The GIDP in Statistics 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), a 12-unit Graduate Certificate, and a Ph.D. minor for students already registered into a Ph.D. program other than Statistics 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.

Certificate students are often nontraditional students, several years removed from the university education and possessing considerable work experience.  We have seen applications from those in the high tech industries (largely Raytheon Missile Systems), technical staff involved in data intensive science looking to improve their knowledge of modern statistics, and former high school math/stat teacher looking for a change in career. With such an extensive and diverse set of backgrounds, the consideration for admission of these applicants requires an examination beyond the transcript to the nature of their work experience. The Certificate program may be completed either online or on campus.

If you have questions on the admissions process, please contact Kristina Souders, Program Coordinator, at

Department/Academic Unit(s)

Graduate Interdisciplinary Programs -

The Graduate College sponsors several Graduate Interdisciplinary Programs (GIDPs) in addition to the many interdisciplinary possibilities available through regular graduate degree programs. GIDPs transcend departmental boundaries by facilitating cutting edge teaching and research at the nexus of traditional disciplines. The high value placed on interdisciplinary research and education is indicative of The University of Arizona's enthusiasm and commitment to fostering innovation and creativity among its faculty and students.

Graduate College/GIDP  
Campuses where offered
Main Campus - Tucson UA Online  
Admissions Contact
Kristina Souders
Graduate Program Coordinator
Kristina Souders
Director of Graduate Studies
Joseph C Watkins
Graduate College Degree Counselor
Christina M Inocencio
Tuition and Fees
Please refer to the UA Bursar's Office Tuition and Fees Calculator for up-to-date information about tuition and fees. 
Please refer to the UA Registrar's's Office Special Course Fees for up-to-date information about special course fees. 

Admissions Information

Admissions 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.

Standardized Tests

Required test(s):
The certificate program does not required standardized tests.


Financial Aid

We do not offer financial assistance for certificate students.

Admissions Deadlines

Domestic Applicants:

  • Fall: July 31st

International Applicants:

  • Fall: July 31st
International Conditional Admission
International applicants may be considered for conditional admission to this program at the department's discretion.
Other Information
The GRE Institution Code for The University of Arizona is 4832

Degree Specifics

Degree Requirements

A minimum of 12 units of coursework (graded C or better) with a minimum GPA of 3.0 is required for the Graduate Certificate, made up as follows:


i.  Core Statistical Theory Course; 3 units taken for a letter grade as follows:

            STAT 566/MATH 566 – Theory of Statistics (available for online students)

ii.  Additional Elective Courses; minimum 9 units taken for a letter grade from any of the following options (except for CPH 696S/EPID 696S – see below – no course may be taken more than once):

  1. ABE 516A/MCB 516A – Statistical Bioinformatics and Genomic Analysis
  2. ANS 513/GENE 513 – Statistical Genetics for Quantitative Measures
  3. AREC 517/ECON 517 – Introductory Mathematical Statistics for Economists
  4. CPH 647/EPID 647 – Analysis of Categorical Data, or      STAT 574C/SOC 574C – Categorical Data Analysis
  5. CPH 648/EPID 648 – Analysis of High Dimensional Data
  6. CPH 684/EPID 684 – General Linear and Mixed Effects Models, or FSHD 617C – Advanced Data Analysis: Multilevel Modeling
  7. CPH 686/EPID 686 – Survival Analysis
  8. CPH 696S/EPID 696S – Biostatistics Seminar
  9. ECOL 518 – Spatio-temporal Ecology
  10. ECON 518/AREC 518 – Introduction to Econometrics
  11. ECON 520 – Quantitative Methods in Economics, or SIE 530 – Engineering Statistics
  12. ECON 522A – Econometrics, or AREC 559 – Advanced Applied Econometrics
  13. ECON 522B – Econometrics
  14. ECON 549/AREC 549 – Applied Econometric Analysis
  15. EDP 658B – Theory of Measurement
  16. FSHD 617A – Advanced Data Analysis: Structural Equation Modeling
  17. FSHD 617B – Advanced Data Analysis: Dyadic Data Analysis
  18. GEOS 585A – Applied Time Series Analysis, or STAT 574T/MATH 574T – Time Series Analysis
  19. MATH 563/STAT 563 – Probability Theory
  20. MATH 574M– Statistical Machine Learning
  21. PL S 565 – Practical Skills for Next Generation Sequencing Data Analysis         
  22. SIE 522 – Engineering Decision Making Under Uncertainty 
  23. SIE 531 – Simulation Modeling and Analysis
  24. STAT 564/MATH 564 – Theory of Probability (available for online students)
  25. STAT 567A/MATH 567A – Theoretical Statistics
  26. STAT 567B/MATH 567B – Theoretical Statistics
  27. STAT 571A/MATH 571A – Advanced Statistical Regression Analysis (available for online students)
  28. STAT 571B/MATH 571B – Design of Experiments, or PSY 507C – Research Design & Analysis of Variance (available for online students)
  29. STAT 574B/ECON 574B – Bayesian Statistical Theory and Applications (same as ECON 696E)
  30. STAT 574E/MATH 574E/CPH 574E – Environmental Statistics
  31. STAT 574G/GEOG 574G/ MATH 574G – Introduction to Geostatistics
  32. STAT 574S – Survey Sampling
  33. STAT 675 – Statistical Computing
  34. STAT 687/CPH 687/EPID 687 – Theory of Linear Models
  35. STAT 688/ABE 688/CPH 688 – Statistical Consulting
Minor Requirements

A minor is not required for certificate students

Student Handbook  
Persistent link:
Last revised 08 Sep 2016