Business Analytics & Statistics
Master’s In Statistics
The Master’s in Statistics program is formally known as the Intercollegiate Graduate Statistics and Data Science Program (IGSDSP). Students may pursue a full master’s degree or minor in statistics while enrolled in their primary PhD or master’s program. This program is open to graduate students in departments with an approved statistics minor and/or master’s curriculum.
Master’s of Statistics
Students
Students participating in the Intercollegiate Graduate Statistics and Data Science Program may pursue a concurrent master’s degree in statistics through the Department of Business Analytics and Statistics. This program is open to graduate students in departments at UTK with an approved statistics minor and/or master’s curriculum.
A limited core curriculum and a number of electives are offered by faculty in Haslam’s Department of Business Analytics and Statistics. Advanced statistical and data science courses that have been approved by the IGSDSP program’s executive committee may be applied to a minor or master’s degree in statistics under the guidance of a statistics advisor or a program prescribed by the students home department.
Why Study Master’s of Statistics?
The discipline of Statistics informs nearly every field of modern science and social science. The fundamentals of collecting and interpreting data stand at the forefront of graduate academic work, and as such the Master of Statistics at the Haslam College of Business is the most advanced credential offered by the Intercollegiate Graduate Statistics and Data Science Program (IGSDSP).
What sets The Master’s of Statistics apart?
This M.S. in Statistics offers a valuable credential to students working toward a PhD at UTK that will set them apart when planning for a career either in industry or the academy. If your current program of study requires a substantial number of statistics or data science courses, a concurrent M.S. in Statistics can often be added to your program of study with limited impact on your time to graduation. The program may also accommodate students currently in a PhD program that would prefer to change their course of study to an M.S., but do not have an M.S. program available in their major field.
Participating Programs and Common Academic Pathways
If your program is not listed, contact your college representative to start the process of getting program approval.
Program:
Accounting and Information Management
Concurrent Degree Options for PhD Students: Stat Minor, Stat MS
Preferred Courses for Concurrent Statistics Minor or MS:
STAT 537 – Statistics for Research I
STAT 538 – Statistics for Research II
ECON 582 – Elements of Econometrics I
ECON 583 – Elements of Econometrics II
ECON 682 – Advanced Topics in Cross Section Econometrics
Contact your PhD Advisor for additional guidance.
Contact: lmyers16@utk.edu
Agricultural and Resource Economics
Concurrent Degree Options for Master’s Students: Stat Minor
Preferred Courses for Concurrent Statistics Minor: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Seong Hoon Cho, Karen DeLong, and Xuqi Chen
Animal Science
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for Ph.D. Students: Stat Minor, Stat MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Anthropology
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for Ph.D. Students: Stat Minor
Preferred Courses for Concurrent Statistics Minor: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Ben Auerbach
Biochemistry & Cellular and Molecular Biology
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Hong Tian, Rachel McCord
Biosystems Engineering and Soil Science
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor
Preferred Courses for Concurrent Statistics Minor: Please contact your academic advisor to create a custom path for your academic goals.
Chemical Engineering
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Child and Family Studies
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Jeremy B. Kanter
Civil & Environmental Engineering
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Lee Han, Asad Khattak
Communication & Information
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent MS – Statistics Minor:
(Level A 6cr, Level B 3cr)
Level A: PSYCH 521 (Regression), PSYCH 522 (ANOVA)
Level B: PSYCH 622 (Structural Equation Modelling)
Preferred Courses for Concurrent PhD – Statistics MS:
(Level A 6cr, Level B 9cr)
Level A: PSYCH 521 (Regression), PSYCH 522 (ANOVA)
Level B: PSYCH 607 (Psychometrics), PSYCH 622 (Structural Equation Modelling), Student Program of Study Driven Level B Elective
Please use this as a guide and contact your advisor (listed below) to create a custom path for your academic goals.
Contacts: Elizabeth Avery Foster, Michael Kotowski
Comparative & Experimental Medicine
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS:
- STAT 537 Statistics for Research I
- STAT 538 Statistics for Research II
- PUBH 530 Biostatistics
- ANSC 571 Design and analysis of biological research
- ESM (or EDPY) 577 Statistics in Applied Fields I
- ESM (or EDPY) 677 Statistics in Applied Fields II
- PSYC 521 Analysis of Variance for Social Sciences
- PSYC 522 Multiple Regression for Social Sciences
- ESM (or EDPY) 678 Statistics in Applied Fields III
- STAT 563 Probability and Mathematical Statistics I
- STAT 564 Probability and Mathematical Statistics II
- STAT 567 Analysis of Lifetime Data
- 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
- PUBH 630 Advanced Biostatistics
- PUBH 635 Systematic Reviews and Meta-Analysis
- SOWK 665 Advanced Quantitative Research Methods: Applied multilevel modeling
- BZAN 645 Machine Learning
- IE 565 Applied Data Science
- MSE 576 Machine Learning for Materials
- ECE 517 Reinforcement Learning
- COSC 522 Machine Learning
- COSC 525 Deep Learning
- COSC 526 Data Mining
- COSC 527 Biologically Inspired computing
- CEM 601 Advanced Epidemiology
- CEM 602 GIS and Geographical Epidemiology
- SOCI 631 Advanced quantitative methods
- SOWK 665 Advanced Quantitative Research Methods: Applied Multilevel Modeling
*STAT 537 should be taken with STAT 538, STAT 538 should be taken after taking either STAT 537 or PUBH 530, PUBH 530 should be taken with STAT 538, ANSC 571 should be taken after taking STAT 537, EMS 577 should be taken with EMS 677, f EMS 677 should be taken after taking EMS 577, PSYC 521 should be taken with PSYC 521. PSYC 522 should be taken after taking PSYC 521
Contact your advisor (listed below) to create a custom path for your academic goals.
Contacts: Odoi Agricola
Ecology & Evolutionary Biology
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: James Fordyce, Mike Gilchrist
Economics
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Luiz Renato Lima, Christian A. Vossler, Celeste Carruthers
Educational Psychology and Counseling
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Jennifer Ann Morrow, Louis Rocconi
Educational Leadership and Policy Studies
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Terry Ishitani
Entomology & Plant Pathology
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Finance
Concurrent Degree Options for Master’s Students: Stat Minor
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Food Science & Technology
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Forestry, Wildlife & Fisheries
Concurrent Degree Options for Master’s Students: Stat Minor
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Sheng-I Yang, Mark Q. Wilber
Genome Science & Technology
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Geography
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor:
Level A Class Options:
STAT 537 and GEOG 515
Level B Class Options:
GEOG 510: Geographic Software Design
GEOG 517: Database Design for Spatial Data Science
GEOG 549: Topics in Geography of Transportation (which covers various spatial analysis methods for transportation and logistics problems)
GEOG 611: Seminar in Geographic Information Science
GEOG 649: Seminar in Geography of Transportation (which covers spatial optimization problems)
Please contact the advisor (listed below) to finish creating a custom path for your academic goals.
Preferred Courses for Concurrent Statistics MS:
GEOG 510: Geographic Software Design
GEOG 517: Database Design for Spatial Data Science
GEOG 549: Topics in Geography of Transportation (which covers various spatial analysis methods for transportation and logistics problems)
GEOG 611: Seminar in Geographic Information Science
GEOG 649: Seminar in Geography of Transportation (which covers spatial optimization problems)
Please contact the advisor (listed below) to finish creating a custom path for your academic goals.
Contacts: Nicholas Nagle, Shih-Lung Shaw
Industrial & Systems Engineering
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: John Kobza, Mingzhou Jin, Hwangbo Hoon
Kinesiology, Recreation, and Sports Studies
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Management and Entrepreneurship
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contact: David Williams
Management Science
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contact: Wenjun Zhou, Lan Gao
Marketing
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor:
STAT 578 Categorical Data Analysis
STAT 577 Data Mining Methods and Applications
STAT 579 Applied Multivariate Methods
Please contact the advisor (listed below) to finish creating a custom path for your academic goals.
Preferred Courses for Concurrent Statistics MS:
STAT 578 Categorical Data Analysis
STAT 577 Data Mining Methods and Applications
STAT 579 Applied Multivariate Methods
Please contact the advisor (listed below) to finish creating a custom path for your academic goals.
Contact: Jonathan Hasford
Materials Science & Engineering/Polymer Engineering
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Mathematics
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Vasillios Maroulas, Balram Rajput, Jan Rosinski, Christopher Strickland, Carl Wagner, Ioannis Sgouralis
Mechanical, Aerospace, and Biomedical Engineering
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Microbiology
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Natural Resources
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS:
Courses taken by graduate students in School of Natural Resources for IGSDSP minor and masters (09-16-2023)
Statistics for Research I – STAT 537 (Level A)
Statistics for Research II – STAT 538 (Level A)
Probability I – STAT 563 (Level B)
Probability II- STAT 564 (Level B)
Biometry – EEB 560 (Level B)
Applied Time Series – STAT 575 (Level B)
Design of Experiments – STAT 573 (Level B)
Data mining methods and applications – STAT 577 (Level B)
Machine Learning – COSC 522 (Level B)
Advanced Epidemiology – CEM 601 (Level B)
Design and Analysis of Biological Research – ANSC 571 (Level B)
Statistics for Biological Research – PLSC 561 (Level B)
Multivariate and data mining techniques – STAT 579 (Level B)
Categorical Data Analysis – STAT 578 (Level B)
Advanced Regression for Agricultural Research – FDSC 551 (Level B)
Introduction to Bayesian methods – POLS 518 (Level B)
Possible Course Pathway (Minor in Stats for SNR Master’s students)
Statistics for Research I – STAT 537 (Level A)
Biometry – EEB 560 (Substitute for Level A)
Level B course -> See options previous SNR students have taken for level B courses
Possible Course Pathway (Master’s in Stats for SNR students)
Statistics for Research I – STAT 537 (Level A)
Statistics for Research II – STAT 538 (Level A)
Probability I – STAT 563 (Level B)
Probability II- STAT 564 (Level B)
Biometry – EEB 560 (Level B)
Categorical Data Analysis – STAT 578 (Level B)
Data mining methods and applications – STAT 577 (Level B)
Introduction to Bayesian methods – POLS 518 (Level B)
9 remaining hours from technical courses in SNR
Please contact the advisor (listed below) to finish creating a custom path for your academic goals.
Contact: Mark Wilber
Nuclear Engineering
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Wes Hines, Ronald Pevey, Belle Upadhyaya, Jamie Coble
Nursing
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Lisa Lindley
Nutrition
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
AgricultPhysics and Astronomyural and Resource Economics
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Plant Sciences
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Vincent Pantalone
Political Science
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor:
Level A – POLS 512 and POLS 513
Level B – two from POLS 515, POLS 516 and POLS 518; one course from another Department, to be approved by the Political Science DGS.
Please contact the advisor (listed below) to finish creating a custom path for your academic goals.
Preferred Courses for Concurrent Statistics MS:
Level A – POLS 512 and POLS 513
Level B – two from POLS 515, POLS 516 and POLS 518; one course from another Department, to be approved by the Political Science DGS.
Please contact the advisor (listed below) to finish creating a custom path for your academic goals.
Contacts: Wonjae Hwang, Kyung Joon Han, Nathan J. Kelly, David Houston
Psychology
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Chris Elledge, Lowell Gaertner
Public Health
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent MA – Statistics Minor:
Minor (masters level)
Level A
PUBH 530 Biostat (this is required for the MPH also)
Level B
STAT 578 Categorical Data Analysis
CEM 601 Advanced Epidemiology or CEM 602GIS and Geographical Epidemiology (as these are not offered every year)
Preferred Courses for Concurrent PhD – Statistics Minor:
Minor (phd level)
Level A
PUBH 530 Biostat
Level B
STAT 578 Categorical Data Analysis
CEM 601 Advanced Epidemiology or CEM 602 GIS and Geographical Epidemiology
SOWK 665 Advanced Quantitative Research Methods: Applied Multilevel Modeling
POLS 515 Maximum Likelihood
Please contact the advisor (listed below) to finish creating a custom path for your academic goals.
Contacts: Samantha Ehrlich, Odoi Agricola
Retail, Hospitality, & Tourism Management
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact your academic advisor to create a custom path for your academic goals.
Social Work
Concurrent Degree Options for PhD: Stat Minor
Preferred Courses for Concurrent Statistics Minor: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Charles Glisson, William Nugent
Sociology
Concurrent Degree Options for Master’s Students: Stat Minor
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent MA – Statistics Minor:
STAT 537 and 538 or PSYCH 521 and 522
SOCI 631
Preferred Courses for Concurrent PhD – Statistics Minor:
STAT 537 and 538 or PSYCH 521 and 522
SOCI 631
And any two of the following:
EDPY 667
GEOG 517
POLS 515
POLS 518
PUBH 635
PSYC 622
SOWK 665
Preferred Courses for Concurrent PhD – Statistics MS:
STAT 537 and 538
STAT 563 and 564
Additional B level STAT class:
STAT 579 or STAT 577
In concentration:
SOCI 631
SOCI 534*
POL 515
And any three of the following:
EDPY 667
GEOG 517
POLS 515
POLS 518
PUBH 635
PSYC 622
SOWK 665
Please contact the advisor (listed below) to finish creating a custom path for your academic goals.
Contacts: Stephanie Bohon, Robert Jones, Deadric Williams
Supply Chain Management
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contact: Stephanie Eckerd
Theory and Practice in Teacher Education
Concurrent Degree Options for PhD: Stat Minor, STAT MS
Preferred Courses for Concurrent Statistics Minor or MS: Please contact the advisor (listed below) to create a custom path for your academic goals.
Contacts: Joshua Rosenberg
Curriculum
What You’ll Learn
The master’s in statistics requires 33 hours, (24 IGSDSP hours including STAT 537-538, STAT 563-577 and at least 3 additional hours of courses listed as STAT of BZAN at the 600 level). Up to nine hours of courses can be used to fulfill both doctoral degree and minor or master in statistics requirements. 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. Some approved Level B courses can be substituted for Level A courses. Please talk with your advisor about these options.
Doctoral Students Pursuing an M.S. in Statistics:
Doctoral students can earn a master’s in statistics by taking 33 hours of coursework, including 24 hours in approved IGSDSP courses.
STAT 537 – 538 (6 hrs)
STAT 563 – 564 (Students completing 564 prior to 2024)
STAT 563 , STAT 577 (Students not completing 564 prior to 2024)
3 hours from an additional Level B STAT courses
9 hours from any approved Level B courses
9 hours from technical courses in your concentration
No Comprehensive Exam Required (Must Receive A or B in Statistics 563 and 564)
Must Have IGSDSP Member on Committee
Of the required 24 hours of IGSDSP coursework, up to 9 hours can be taken from the department of the student’s primary major.
Doctoral Students Pursuing a Minor in Statistics:
For doctoral degree students, the minor in statistics requires 15 credit hours.
6 hours of approved Level A courses
9 hours of approved Level B courses
No Comprehensive Exam Required
Must Have IGSDSP Member on Committee
Up to 9 hours in approved IGSDSP courses can be taken from the department of the student’s primary major.
Master’s Students Pursuing a Minor in Statistics:
For master’s students, the minor in statistics requires 9 credit hours. Approved coursework taken through the department of the student’s primary major may be applied towards the master’s or minor requirements.
6 hours of approved Level A courses
3 hours of approved Level B courses
No Comprehensive Exam Required
Must Have IGSDSP Member on Committee
Up to 9 hours in approved IGSDSP courses can be taken from the department of the student’s primary major.
Level A courses are introductory, graduate-level applied statistics courses. Level B courses are graduate-level applied statistics courses that have Level A (or equivalent) prerequisites. Upon approval by the IGSDSP Executive Committee and the student’s home department, some of the Level B hours may be obtained from certain Level A courses.
Approved Courses
Level A – these courses are taken as a series of two:
- STAT 537 and STAT 538 Statistics for Research I, II
- Either PLSC 561 Statistics for Biological Research or STAT 537 and ANSC 571 Design and Analysis of Biological Research
- POLS 512 and POLS 513 Quantitative Political Analysis I, II
- SOWK 605 and SOWK 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 and PSYC 522 Analysis of Variance for Social Sciences – Multiple Regression for Social Sciences
- ANTH 504 Anthropological Statistics I and STAT 538 Statistics for Research II
- EMS 577 and EMS 677 Statistics for Applied Fields I, II
- PUBH 530 Biostatistics and STAT 538 Statistics for Research II
- GEOG 515 Topics in Quantitative Geography and STAT 537 Statistics for Research I
- CFS 580 and one of the following options: SOWK 606, PSYC 522, or ESM 677.
Level B – Please select from the following courses to fulfill the remainder of your required IGSDSP courses according to your degree program as shown above (PhD with MS in Stats, PhD with minor in Stats, or MS/MA degree with minor in Stats):
HASLAM COLLEGE OF BUSINESS
Business Analytics and Statistics
- STAT 563-577 (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
- STAT 610 Probability and Stochastic Processes
- BZAN 615 Statistical Learning
- BZAN 620 Applied Optimization and Data Analysis
- BZAN 643 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
Communications
- CCI 644 Quantitative Research
TICKLE COLLEGE OF ENGINEERING & COMPUTER SCIENCE CIVIL ENGINEERING
Mechanical Engineering
- AE/ME/BME 504 Introduction to Uncertainty Quantification.
Industrial Engineering
- IE 542 Design of Experiments for Engineering Managers
- MSE 576 Machine Learning for Materials
- 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
Ecology and Evolutionary Biology
- EEB 560 Biometry
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
Geography
- GEOG 510 Geographic Software Design
- GEOG 513 Advanced Remote Sensing
- GEOG 517 Database Design for Spatial Data Science
- GEOG 520 Geovisualization and Geographic Information for Researchers and Professionals
- GEOG 549 Topics in Geography of Transportation (which covers various spatial analysis methods for transportation and logistics problems)
- GEOG 611 Seminar in Geographic Information Science
- GEOG 649 Seminar in Geography of Transportation (which covers spatial optimization problems)
Political Science
- POLS 515 Maximum Likelihood
- POLS 516 Time Series
- POLS 518 Bayesian Modelling in Political Science
- POLS 610 Special Topics in Empirical Theory and Methodology
Psychology
- PSYC 601 Hierarchical Linear Models
- PSYC 601 Special Topics with Dr. Buss
- 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
SCHOOL OF NATURAL RESOURCES
Natural Resources
- FWF 690 Advanced Topics in Natural Resources (Data/model/visual/using R)
COLLEGE OF EDUCATION, HEALTH, AND HUMAN SCIENCES
Educational Leadership and Policy
- TPTE 595 An Introduction to Data Science Methods in Education (MS)
- PUBH 635 Systematic Reviews and Meta-Analysis, Fall 2020
- ESM 667 Advanced Topics: Multilevel Modeling
- ESM 678 Statistics for Applied Fields III
- ESM 680 Advanced Educational Measurement and Psychometrics
- TPTE 695 An Introduction to Data Science Methods in Education (PhD)
- HEAM 620
Public Health
- PUBH 630 Advanced Biostatistics
- PUBH 640 Advanced Epidemiology in Public Health
Educational Psychology and Counseling Department
- STEM 680 Foundations of Educational Data Science I
- STEM 685 Foundations of Educational Data Science II
- STEM 691 Visualizing Data Using R
Child and Family Studies
- CFS 606 Advanced Methods
HERBERT COLLEGE OF AGRICULTURE
Animal Science
- ANSC 572 Least Squares Analysis
- AREC 524 Econometric Methods in Agricultural Economics
- ANSC 675 Statistical Genomics
- CEM 601 Advanced Epidemiology
Forestry, Wildlife, and Fisheries
- WFS 560 Advanced Topics in Wildlife and Fisheries Science
COLLEGE OF SOCIAL WORK
Social Work
- SOWK 665 Advanced Quantitative Research Methods: Applied Multilevel Modeling
VET SCHOOL
Information Systems
- CEM 601 Advanced Epidemiology
- CEM 602 GIS and Geographical Epidemiology
BREDESEN CENTER
Life Sciences
- LFSC 507 Programming for Biological Data Analysis
Master’s of Statistics Admissions
Admission to the program
Applicants must add a member of the IGSDSP faculty to their graduate committee and work with that committee to establish a list of courses that fulfill the minor or Master of Statistics curriculum requirements.
Master’s of Statistics Admissions
Deadline
Applications should be submitted as early in the student’s doctoral degree as possible, but no later than the beginning of their final semester.
Master’s of Statistics Admissions
Frequently Asked Questions
Am I eligible to get a minor in Statistics?
If you are currently enrolled as an MS student or in a PhD program at UT, you are eligible to get a minor in statistics. Please see the course requirements here.
Can I get an MS in Statistics without being enrolled in another program?
Students currently enrolled in a UTK PhD program and who are not able to finish can petition the Business Analytics and Statistics Department to be admitted to the MS in Statistics. Please contact the Department for more Information.
How do I apply for the MS in statistics?
You will take the required coursework and then fill out two forms. All students must fill out the Admission to Candidacy form (Forms Central – The Graduate School). You will also need to fill out the “Request for Concurrent MS Degree” available on the forms central website at the UT graduate school. International students may need to contact the International Student and Scholar Services (ISSS) for additional paperwork. You need three signatures (an Intercollegiate Graduate Statistics and Data Science Program [IGDSDP] faculty representative from your department, the IGDSP college representative and the IGSDSP executive committee chair). After getting the signatures, forward the form to gradspec@utk.edu.
What is the deadline to apply for the MS in statistics?
According to the graduate school, you should submit the application “no later than the last day of classes preceding the term in which you expect to graduate.”
How do I apply for the minor?
It is a simple process. Take the required coursework, and then fill out the application (see admissions tab on this site). You need three signatures (an IGDSDP faculty representative from your department, the IGDSP college representative and the IGSDSP executive committee chair). After getting the signatures, forward the form to gradspec@utk.edu. As a reminder, an approved IGSDSP faculty member must serve on the graduate committee. This can be an approved faculty member from your department.
What is the deadline to apply for the minor in statistics?
You should send the minor application to the graduate school no later than sending all other graduation forms such as doctorate final defense forms or admission to candidacy forms or corresponding forms for your MS. If you have a plan, you can send the application the semester before finishing your coursework, even if all courses aren’t completed.
How will my minor be officially recognized?
Your minor will be recognized on your official transcripts after graduation.
I am not sure what classes to take. How do I choose?
Many programs have listed recommended pathways. For those that do not, please contact your graduate director for guidance on a tailored plan that fits your research goals. You may also contact the IGSDSP Executive Committee Chair with any questions.
I want to take a new course that is not approved for IGSDP. What do I do?
Send a copy of the course syllabus to your IGSDSP college representative.
How can a faculty member apply to become an IGSDSP faculty member?
Send your CV to the IGSDSP executive committee chair for approval. A short statement describing your interest in statistics and data science is also helpful.
Get Started
How To Apply
To apply, contact basadmins@utk.edu and ask for the contact information for the current IGSDSP Executive Committee Chair or the Director of Graduate Studies for the MS in Statistics. The application can be filled out any time throughout a student’s graduate program, but it is a good practice to contact the Director of Graduate Studies to ensure that the requirements are clear.
Executive Committee (College Reps)
Lowell Gaertner – Arts and Science
(gaertner@utk.edu)
Mark Wilber – Herbert College
(mwilber@utk.edu)
Bill Nugent – College of Social Work
(wnugent@utk.edu)
Mike Kotowski – College of Communications and Information
(mkotowsk@utk.edu)
Jennifer Ann Morrow – Education, Health and Human Sciences
(jamorrow@utk.edu)
Lee Han – College of Engineering
(lhan@utk.edu)
Lisa Lindley – College of Nursing
(llindley@utk.edu)
Russell Zaretzki – Haslam College and Executive Committee Chair
(rzaretzk@utk.edu)
Brittany Shelton – College of Education
Alejandro Molina Moctezuma – Herbert College
Andrew Taeho Kim – College of Arts and Sciences
Mitchell Richmond – Herbert College
Julia Yan – College of Education
Aaron Buss – College of Arts and Sciences