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. In any case a B is required for STAT 566 or the student must pass the theory portion of the Qualifying Exam with at least a MS Pass.
1. Core Statistical Theory Course; 3 units as follows:
STAT 566 – Theory of Statistics (available online) - A minimum grade of B is required.
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
- BOS 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*
- CSC 580 Principles of Machine Learning
- ECE 523 Engineering Applications of Machine Learning and Data Analytics
- 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
- INFO 521 - Introduction to Machine Learning
- 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.