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Please note that our Quantitative Methods M.Ed. program has changed to the Quantitative Methods and Data Analysis for Human Behavior M.S. program. Anyone who applies and is admitted to start in Fall 2026 will be admitted to the new M.S. program.
Our Quantitative Methods & Data Analytics for Human Behavior (QMDA) M.S. program provides students with the theoretical expertise and practical grounding needed to conduct data analyses with rigor, transparency, and confidence. Graduates of our M.S. program can become leaders in developing techniques for measuring human behavior, designing research studies, applying data analytics to real-world data, building models of complex behavioral processes, and evaluating efficacy of treatments.
M.S. graduates learn to use AI to augment their data analytics productivity, but first learn to think critically about methods and results so they can use AI adeptly with integrity, not dangerously with risk and guesswork.
Info Session
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Nov. 19, 2025
7:30 p.m. CST
Quantitative Methods Info Session
If you've identified an interest in Peabody's *Quantitative Methods & Data Analytics for Human Behavior M.S. program, (this program was previously known as our Quantitative Methods M.Ed program) we invite you to join us for a program information session taking place Wednesday, November 19 at 6:30 p.m. CT.
Dr. Shane Hutton, Program Director, will discuss updates to the program, as well as its structure and curriculum, career outcomes, application requirements and timeline, and will end the webinar with a Q&A with current students to discuss the Peabody and Quant Methods student experience. We encourage you to register to attend!
Quantitative Methods & Data Analytics for Human Behavior M.S. is a STEM-designated, campus-based program, most recently known as our Quantitative Methods M.Ed program.
Quantitative Methods & Data Analytics (M.S.) Program Overview
In our flexible full-time or part-time program you will learn from renowned QMDA faculty members actively advancing the science of quantitative methods in order to master the conceptual foundations, theory, and application of quantitative analytics. In your internship, you will practice providing design, measurement, analytics, and statistical support while exploring or refining your specialization interests. Upon graduation, you will be equipped to skillfully apply, precisely justify and thoughtfully communicate about your advanced psychometric modeling and data analyses skills in health and medical settings; business, government and industry positions; dedicated research institutes; school systems; and other academic settings.
This program is a 33 credit-hour program that can be completed in 17 months (when the internship occurs during the summer after the second semester) or 22 months (if a student wishes to delay their internship until after their third semester). See the coursework section of this page for more information.
M.S. graduates of quantitative methods and data analytics programs are highly sought after for employment in research and data analytics settings such as:
- healthcare analytics
- medical school research
- business analytics
- psychometric assessment and testing companies
- university research programs
- industrial organizational research
- government research laboratories
- social/behavioral research laboratories
- public school systems
Additionally, graduates of this program frequently elect to continue with doctoral studies in quantitative or applied fields. Many students have used our program to acquire strong quantitative training as a springboard before applying to a Ph.D. program in an applied or quantitative field. Graduates of our program have been accepted into Ph.D. programs at prestigious universities across the country.
Quantitative Research Careers
Quantitative analytics drives discovery and innovation in. many of today’s most modern and exciting professions. Of Peabody’s job seeking quantitative methods graduates, 94% were employed or attending graduate school within four months of graduation.
Recent career placements include:
- Biostatistician, Cleveland Clinic
- Data Science Manager, Capital One Financial Services
- Research Data Analyst, HCA Healthcare
- Data Analyst, Tennessee Department of Health
- Health Policy Analyst, Vanderbilt University Medical School
- Artificial Intelligence Designer, 1st Edge
- Statistical Research Analyst, Tennessee Department of Health
- Quantitative Research Associate, Habitat for Humanity
- Data Visualization Engineer, Dallas College
- Statistical Programmer, RAND Corporation
Explore how to use research design and data analysis for the social good with our digital guidebook.
Quantitative Degree Program Facts
Program Director: Shane Hutton
Admissions Coordinator: Ally Jacobs
Admission Term: Fall
Credit Hours: 33
Application Deadlines
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Priority Decision 1
January 3*
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Priority Decision 2
February 3
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Rolling Decision
After February 3
*For more information on application dates and requirements, and the benefits of Priority Decision, see the How to Apply page.
Request Information
Quantitative Methods Program Curriculum
You will take three required core courses in Quantitative Methods and Data Analytics during the 33-hour program. Additionally, you will take one required hour of seminar activity, two required hours of internship activity and seven additional courses, one of which may be a content course outside the QMDA program, and one QMDA course outside of the Psychology and Human Development Department.
- While most students attend the program full-time, a part-time option is offered where students are expected to enroll in at least one course per semester.
Coursework
