The master’s in statistics requires 30 hours, (21 IGSP hours including STAT 537-538, STAT 563-564 and at least three more hours in a STAT courses) plus a comprehensive exam. Up to nine hours of courses can be used to fulfill both doctoral degree and minor or master in statistics requirements. Some of the Level B hours may be obtained from certain Level A courses upon approval by the IGSP Executive Committee and the student’s home department.
Level A courses are introductory, graduate-level applied statistics courses. Level B courses are graduate-level applied statistics courses which have Level A (or equivalent) prerequisites.
Master’s students pursuing minor in statistics
6 hours Level A courses
3 hours Level B course
Doctoral students pursuing minor in statistics
6 hours Level A courses
9 hours Level B course
Comprehensive exam based on your level B course work
Doctoral students pursuing M.S. in Statistics:
STAT 537 – 538 (6 hrs)
STAT 563 – 564 (6 hrs)
3 hours from an additional Level B STAT course
9 hours from Level B courses
9 hour from technical courses in your concentration
Statistics comprehensive exam
Note: No double-counting of courses. It is university policy that no course can count toward two master’s degrees.
STAT 531- 532* Survey of Statistical Methods I, II
STAT 537 Statistics for Research I, II
(PLSC 561 Statistics for Biological Research or STAT 531 or STAT 537) and (ANSC 571 571 Design and Analysis of Biological Research)
POLS 512 Quantitative Political Analysis I, II
(College of Social Work only) (STAT 531 or 537) and SOWK 606 Analysis of Social Work Data II
IE 516 Statistical Methods in Industrial Engineering and STAT 538 Statistics for Research II
SOWK 605 Analysis of Social Work Data I, II
PSYC 521 – 522 Analysis of Variance for Social Sciences – Multiple Regression for Social Sciences
ANTH 504 Anthropological Statistics I and STAT 538 Statistics for Research II
EDPY 577 – 677 Statistics for Applied Fields I, II
PUBH 530 Biostatistics and STAT 538 Statistics for Research II
*Approved for minor in statistics only for master’s degrees only. Doctoral students wishing to have these apply as Level A courses may petition to do so after successful completion (grade B or better) of a Level B course.
STAT 573 Design of Experiments
ANTH 604 Anthropological Statistics II
IIE 556 Data Mining in Engineering and Manufacturing
STAT 575 Applied Time Series Communication and Information 640 Advanced Communication and Information Research Methods: Advanced Design and Analysis
MGT 627 Structural Equation Models in Organizational Research
STAT 577 Data Mining Methods and Applications
EDPY 667 Advanced Topics: Psychometric Theory and Practice
NE 579 Advanced Monitoring and Diagnostic Techniques
STAT 578 Categorical Data Analysis
EDPY 678 Statistics for Applied Fields III
NE 585 Process System Reliability and Safety
STAT 579 Applied Multivariate Methods
POLS 610 Special Topics in Empirical Theory and Methodology
STAT 583 Special Topics in Applied Statistics
PSYC 601 Hierarchical Linear Models
STAT 593 Independent Study
ECON 582 Elements of Econometrics I
PSYC 607 Seminar in Applied Psychometrics
AREC 524 Econometric Methods in Agricultural Economics
ECON 583 Elements of Econometrics II
PSYC 622 Structural Equation Modeling
ANSC 572 Least Squares Analysis
ECON 682 Advanced Microeconometrics
SOWK 665 Advanced Quantitative Research Methods: Applied Multilevel Modeling
ANSC 675 Statistical Genomics
ECON 683 Time Series Econometrics
SOCI 534 Advanced Sociological Analysis (topic-by-topic basis)
SOCI 631 Advanced Quantitative Methods
Additional Level B courses
These courses are advanced applied courses or theory courses which have statistics and mathematics prerequisites.
MATH 423-425 Probability I, Statistics
MGSC 681 Special Topics*
STAT 563 Probability and Statistical Inference
MATH 424 Stochastic Processes
STAT 567 Analysis of Lifetime Data
MATH 523-524 Probability
CEM 601 Advanced Epidemiology
STAT 683 Special Topics in Statistics
MATH 525-526 Statistics
MATH 527 Stochastic Modeling
NE 653 Theory of Information Processing
MATH 623 – 624 Advanced Probability
Ph.D. with Statistics Minor
Doctoral students seeking the minor in statistics must pass a written comprehensive examination covering topics on one or more Level B courses. Students may ask the professor of the course to write an exam for them and to administer it at a time and in a fashion agreeable to the student and the faculty member. The faculty member should advise the student’s statistics advisor and the IGSP Executive Committee Chair of the outcome of the examination in writing (or via e-mail).
For doctoral students in sociology, the qualifying exam in statistics can serve as the comprehensive exam.
Master of Science in Statistics
After an master’s in statistics student has completed the required minimum 12 hours in statistics department courses and no later than the first week of the semester of graduation, the student should request that a statistics department faculty member serve as chair of their comprehensive exam committee and another statistics or IGSP faculty member serve as second reader.
The student then presents three published articles using statistical techniques from his or her major field to the chair. The chair will choose one about which to question the student and may enlist the assistance of the second reader. The student will have one week to submit written responses to the questions and can enlist the aid of publications.
In case the decision is that the student did not pass the examination, a retake may be scheduled for not less than 30 days later.