Academic Information
The master’s in statistics requires 33 hours, (24 IGSDSP hours including STAT 537-538, STAT 563-564 and at least three more hours in a STAT courses). 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 IGSDSP 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.
Curriculum
Master’s students pursuing minor in statistics
6 hours Level A courses
3 hours Level B course
No Comprehensive Exam Required
Must have IGSDSP Member on Committee
Doctoral students pursuing minor in statistics
6 hours Level A courses
9 hours Level B course
No Comprehensive Exam Required
Must have IGSDSP Member on Committee
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
No Comprehensive Exam Required (Must Receive A or B in Statistics 563 & 564)
Must have IGSDSP Member on Committee
Note: No double-counting of courses. It is university policy that no course can count toward two master’s degrees.
Approved Courses
Level A
STAT 537 – 538 Statistics for Research I, II
(PLSC 561 Statistics for Biological Research or STAT 531 or STAT 537) and (ANSC 571 Design and Analysis of Biological Research)
POLS 512-513 Quantitative Political Analysis I, II
SOWK 605-606 Analysis of Social Work Data I, II
(College of Social Work only) STAT 537 and SOWK 606 Analysis of Social Work Data II
IE 516 Statistical Methods in Industrial Engineering and STAT 538 Statistics for Research 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.
Level B
HASLAM COLLEGE OF BUSINESS
BUSINESS ANALYTICS AND STATISTICS
STAT 563-564 (Required for MS in Statistics)
STAT 567 Analysis of Lifetime Data
STAT 573 Design of Experiments
STAT 575 Applied Time Series Communication and Information
STAT 577 Data Mining Methods and Applications
STAT 578 Categorical Data Analysis
STAT 579 Applied Multivariate Methods
STAT 583 Special Topics in Applied Statistics
STAT 593 Independent Study
BZAN 615 Statistical Learning
BZAN 620 Applied Optimization and Data Analysis
BZAN 640 Data Science From Business Research
BZAN 645 Machine Learning
MANAGEMENT
MGT 627 Structural Equation Models in Organizational Research
ECONOMICS
ECON 582 Elements of Econometrics I
ECON 583 Elements of Econometrics II
ECON 682 Advanced Microeconometrics
ECON 683 Time Series Econometrics
COLLEGE OF COMMUNICATIONS
CCI 640 Advanced Communication and Information Research Methods: Advanced Design and Analysis
TICKLE COLLEGE OF ENGINEERING & COMPUTER SCIENCE CIVIL ENGINEERING
IE 542 Design of Experiments for Engineering Managers
CEE 559 TRANSPORTATION SAFETY
IE 565 Applied Data Science
IE 603 Advanced Design and Analysis of Experiments
IE 607 Stochastic Processes
COMPUTER SCIENCE
COSC 522 Machine Learning
COSC 525 Deep Learning
COSC 526 Data Mining
COSC 527 Biologically-Inspired computing
COSC 530 Computer Systems Organization
COSC 545 Fundamentals of Digital Archeology
COSC 554 Markov Chains in Computer Science
COSC 557 Visualization
COSC 565 Databases and Scripting Languages
ELECTRICAL ENGINEERING
ECE 504 Random Process Theory for Engineers
ECE 517 Reinforcement Learning
NUCLEAR ENGINEERING
NE 579 Advanced Monitoring and Diagnostic Techniques
NE 585 Process System Reliability and Safety
NE 653 Theory of Information Processing
COLLEGE OF ARTS AND SCIENCES
ANTHROPOLOGY
ANTH 604 Anthropological Statistics II
MATH
MATH 423, 425 Probability I, Statistics
MATH 424 Stochastic Processes
MATH 523-524 Probability
MATH 525-526 Mathematical Statistics (Bayesian Statistics and Applications)
MATH 527 Stochastic Modeling
MATH 623 – 624 Advanced Probability
POLS
POLS 515 Maximum Likelihood (Offered Summer 2020)
POLS 610 Special Topics in Empirical Theory and Methodology
PSYCH
PSYC 601 Hierarchical Linear Models
PSYC 622 Structural Equation Modeling
PSYC 607 Seminar in Applied Psychometrics
SOCIOLOGY
SOCI 534 Advanced Sociological Analysis (topic-by-topic basis)
SOCI 631 Advanced Quantitative Methods
COLLEGE OF EDUCATION AND HUMAN SCIENCES
ED PSYCH
TPTE 595 An Introduction to Data Science Methods in Education (MS)
PUBH 635 Systematic Reviews and Meta-Analysis, Fall 2020
EDPY 667 Advanced Topics: Multilevel Modeling
EDPY 678 Statistics for Applied Fields III
EDPY 680 Advanced Educational Measurement
TPTE 695 An Introduction to Data Science Methods in Education (PhD)
PUBLIC HEALTH
PUBH 630 Advanced Biostatistics
PUBH 640 Advanced Epidemiology in Public Health
HERBERT COLLEGE OF AGRICULTURE
ANSC 572 Least Squares Analysis
AREC 524 Econometric Methods in Agricultural Economics
ANSC 675 Statistical Genomics
CEM 601 Advanced Epidemiology
COLLEGE OF SOCIAL WORK
SOWK 665 Advanced Quantitative Research Methods: Applied Multilevel Modeling
VET SCHOOL
CEM 602 GIS and Geographical Epidemiology