Graduate Student Handbook

The following guidelines identify the basic structure of the Ph.D. Minor in Statistics at the University of Arizona.  At the core of the program is a foundation in the theory of statistical inference (via MATH 566); however, extensive flexibility via course electives allows students to tailor their Minor programs of study to their own interdisciplinary interests.  Students may design or select a concomitant curriculum pertinent to their own research or professional interests from a list of advanced, statistically-rigorous courses taken from across the campus.  Depending on the student’s selection of Elective Courses, expertise may be gained in statistical practice, theory, and/or applications in a specialized area such as biometry, bionformatics, environmetrics, psychometrics, etc.  Of course, these outcomes will differ depending on the combination of elective courses selected.

The student’s advisor, along with the GIDP Chair, should be consulted to plan the individual selection of Elective Courses.  It is GIDP policy that the student holds final responsibility for being aware of and responding to all GIDP and Graduate College policies, requirements, formats, and deadlines as they pertain to progression towards and completion of her/his graduate degree.

A minimum of 12 units of coursework (graded B or better) is required for the Minor, made up as follows:

1.  Core Statistical Theory Course; 3 units as follows:
            Theory of Statistics (MATH 566)

2.  Additional Elective Courses; minimum 9 units from any of the following:
            Advanced Statistical Regression Analysis (MATH 571A)*
            Advanced Topics in Biostatistics (EPID 676)
            Applied Biostatistics Analysis  (EPID 576C), or
                        Advanced Topics in Biological Statistics (ECOL 581), or
                                    Applied Biostatistics (RNR 613)
            Applied Econometric Analysis (AREC 549/ECON 549)
            Applied Time Series Analysis (GEOS 585A), or
                         Time Series Analysis (MATH 562)
            Categorical data analysis (STAT 574C/MATH 574C)*
            Design of Experiments (MATH 571B), or
                        Research Design & Analysis of Variance (PSYC 507C)
            Econometrics (ECON 522A), or
                          Advanced Applied Econometrics (AREC 559)
            Engineering Decision Making Under Uncertainty (SIE 522)
            Environmental Statistics (STAT 574E/MATH 574E)*
            General Linear and Mixed Effects Models (EPID 684B)*
            Generalized Linear Modeling (EPID 684C)*
            Introduction to Econometrics (AREC 518/ECON 518)
            Introduction to Geostatistics (GEOG 574/MATH 574)
            Introductory Mathematical Statistics for Economists (AREC 517/ECON 517)
            Probability Theory (MATH 563)
            Spatio-Temporal Ecology (ECOL 518)
            Statistical Consulting (EPID 685)
            Statistical Genetics for Quantitative Measures (ANS 513/EPID 513/GENE 513)
            Survival Analysis (EPID 686)
            Theoretical Statistics (MATH 567A)
            Theoretical Statistics (MATH 567B)
            Theory of Linear Models (EPID 684A)*
            Theory of Measurement (EDP 658B)
            Theory of Probability (MATH 564)
            Theory of Quantitative Methods in Economics (ECON 520) , or
                        Engineering Statistics (SIE 530)

* course being developed

Prerequisite courses necessary to undertake a course chosen for the Minor are the responsibility of the student and may only count towards the Minor if they are already listed as a Core Course or as Elective Courses.  Students may, however, consult each individual course instructor to determine if special permission can be secured to register for a Core or Elective Course when a prerequisite course requirement has not been met.  Decisions of the course instructors are considered final.

Courses may be added to or removed from this list by action of the Statistics GIDP Curriculum Committee, after approval by the GIDP Executive Committee.

Where needed to suite 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 Ph.D. Minor in Statistics.