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Coursework by Degree - PhD Minor and Graduate Certificate

Click here for the complete list of courses, including course descriptions, prerequisites, and semesters offered.

A minimum of 12 units of coursework (graded B or better) are required for the Minor and the Certificate (options are listed below).  Please note, students who do not receive a B or better grade for their minor coursework may instead have an overall 3.0 GPA for minor coursework & pass the qualifying exam, theory version, at the MS level.

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.


Changes to the PhD Minor in Statistics

Where needed to suit a particular or specialized need in an individual student’s curriculum plan, petition may be made to the GIDP Executive Committee through the GIDP Chair for approval of a course not listed above for use as an Elective Course.  The decision of the committee will be final.  In no case, however, will a prerequisite course for any Elective Course be considered for such special approval if it is not already listed as an approved course, nor may a course be used to satisfy both a major degree requirement and a requirement for the PhD Minor in Statistics.

Last updated 11 Aug 2017