General Information

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Program/Degree
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 ksouders@email.arizona.edu.

 
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.

 
College
Graduate College/GIDP  
Campuses where offered
Main Campus - Tucson UA Online  
Contacts
Admissions Contact
Kristina Souders
520-621-0847
Graduate Program Coordinator
Kristina Souders
520-621-0847
Director of Graduate Studies
Joseph C Watkins
520-621-5245
Graduate College Degree Counselor
Christina M Inocencio
520-621-3484
 
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 and Online International Applicants:

  • Fall: July 31st
  • Spring: December 1st

Main Campus International Applicants:

  • Fall: June 1st
  • Spring: October 15th
 
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:

1.  Core Statistical Theory Course; 3 units as follows:

            STAT 566 – Theory of Statistics (available online)

2.  Additional Elective Courses; minimum 9 units from any of the following:

            ANS 513/GENE 513 – Statistical Genetics for Quantitative Measures

            AREC 517/ECON 517 – Introductory Mathematical Statistics for Economists

            BIOS 576B - Biostatistics for Research (available online)                       

            BIOS 576C – Applied Biostatistics Analysis

            BIOS 576D – Data Management and the SAS Programming Language

            BIOS 647 – Analysis of Categorical Data, or

                        STAT 574C/SOC 574C – Categorical Data Analysis

            BIOS 648 – Analysis of High Dimensional Data

            BIOS 675 – Clinical Trials and Intervention Studies

            BIOS 684 – General Linear and Mixed Effects Models, or

                        FSHD 617C – Advanced Data Analysis: Multilevel Modeling  

            BIOS 686 – Survival Analysis

            BIOS 696S – Biostatistics Seminar*

            ECE 639 – Detection and Estimation in Engineering Systems (available online)         

            ECOL 518 – Spatio-Temporal Ecology

            ECON 518 – Introduction to Econometrics

            ECON 520 – Theory of Quantitative Methods in Economics

            ECON 522A – Econometrics, or

                        AREC 559 – Advanced Applied Econometrics

            ECON 522B – Econometrics

            ECON 549 – Applied Econometric Analysis

            EDP 558 – Educational Tests and Measurements

            EDP 646A – Multivariate Methods in Educational Research

            EDP 658A – Theory of Measurement           

            EDP 658B – Theory of Measurement

            FSHD 617A – Advanced Data Analysis: Structural Equation Modeling

            FSHD 617B – Advanced Data Analysis: Dyadic Data Analysis

            FSHD 617C – Advanced Data Analysis: Multilevel Modeling

            GEOG 585A – Applied Time Series Analysis

                                  or STAT 574T – Time Series Analysis

            HWRS 655 – Stochastic Methods in Surface Hydrology

            LING 539 – Statistical Natural Language Processing

            LING 582 – Advanced Statistical Natural Language Processing

            MATH 529 – Multivariate Analysis

            MATH 543 – Theory of Graphs and Networks

            MATH 565A – Stochastic Processes

            MATH 565B – Stochastic Processes

            MATH 565C – Stochastic Differential Equations

            MATH 574M – Statistical Machine Learning

            MATH 575A – Numerical Analysis

            MATH 577 – Monte Carlo Methods

            MCB 516A – Statistical Bioinformatics and Genomic Analysis

            MGMT 582D – Multivariate Analysis in Management

            MIS 545 – Data Mining for Business Intelligence (available online)       

            NURS 646 – Healthcare Informatics: Theory and Practice (available online)

            OPTI 637 – Principles of Image Science

            PHYS 528 – Statistical Mechanics

            PLS 565 – Practical Skills for Next Generation Sequencing Data Analysis

            PSY 507B – Statistical Methods in Psychological Research

            PSY 507C – Research Design & Analysis of Variance

            PSY 597G – Graphical Exploratory Data Analysis

            RNR 520 – Advanced Geographic Information Systems          

            SIE 520 – Stochastic Modeling I (available online)

            SIE 522 – Engineering Decision Making Under Uncertainty (available online)

            SIE 525 – Queuing Theory (available online)

            SIE 531 – Simulation Modeling and Analysis (available online)

            SIE 536 – Experiment Design and Regression (available online)**

                                  or STAT 571B – Design of Experiments (available online)

            SIE 545 – Fundamentals of Optimization (available online)

            SIE 606 – Advanced Quality Engineering (available online)

            SOC 570B – Social Statistics

            STAT 563 – Probability Math            

            STAT 564 – Theory of Probability (available online)

            STAT 567A – Theoretical Statistics I

            STAT 567B – Theoretical Statistics II

            STAT 571A – Advanced Statistical Regression Analysis (available online)

            STAT 571B – Design of Experiments (available online)

                                  or SIE 536 – Experiment Design and Regression (available online)**

            STAT 574B – Bayesian Statistical Theory and Applications

            STAT 574C – Categorical Data Analysis

            STAT 574E – Environmental Statistics

            STAT 574G – Introduction to Geostatistics

            STAT 574S – Survey Sampling

            STAT 574T – Time Series Analysis

                                  or GEOS 585A – Applied Time Series Analysis

            STAT 579 – Spatial Statistics and Spatial Econometrics

            STAT 675 – Statistical Computing

            STAT 687 – Theory of Linear Models

            STAT 688 – Statistical Consulting***

            STAT 696E – Econometric Modeling I

*A maximum of 3 units of Biostatistics Seminar (BIOS 696S) may be applied towards the Elective Certificate/PhD Minor course requirements.

**If you plan to continue on to the Statistics MS or PhD programs at the University of Arizona, you must take STAT 571B, not SIE 536.

***A maximum of 3 units of Statistical Consulting (STAT 688) may be applied towards the Elective Certificate/PhD Minor course requirements.

 
Minor Requirements

A minor is not required for certificate students
 

 
Student Handbook
http://stat.arizona.edu/sites/default/files/uagc_page/gradhandbook1-13rachaelmattullsconflictedcopy2014-05-02.doc.pdf  
Persistent link:
Last revised 08 May 2017