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Academics

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

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
CEE 559
TRANSPORTATION SAFETY

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

INDUSTRIAL ENGINEERING
IIE 556
Data Mining in Engineering and Manufacturing

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
EDPY 667
Advanced Topics: Multilevel Modeling
EDPY 678 Statistics for Applied Fields III
EDPY 680 Advanced Educational Measurement

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
FDSC 551 Advanced Regression For Agricultural Research
PLSC 605 Meta-Analysis and Literature Reviews

COLLEGE OF SOCIAL WORK
SOWK 665
Advanced Quantitative Research Methods: Applied Multilevel Modeling