Quantitative Methods (M.Ed.)

Quantitative analysis and data science lie at the heart of some of today’s most modern and exciting professions. Develop skills in design, measurement, and statistical modeling in applied research, educational, business, and health analytics settings through our master of education program in Quantitative Methods.

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Across industry and academia, quantitative methods, psychometric, and analysis experts are needed who can develop techniques for measuring human behavior, designing research studies, building models of behavioral processes, and evaluating the efficacy of treatments.

Quantitative Methods (M.Ed.) Program Overview

In our full-time or part-time program, you will work closely with Quantitative Methods faculty members to develop expertise in both the theory and application of quantitative analysis in behavioral, social and educational sciences. In your internship, you will practice providing design, measurement, and statistical support and explore or refine your specialization interests. Upon graduation, you will be equipped to apply your psychometric and data analysis skills in health and medical settings; business, government and industry positions; dedicated research institutes; school systems; and other academic settings.

Graduates of this program find employment in research and data analysis 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. Students from this program have been accepted to prestigious universities across the country.

Quantitative Research Careers

Of 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

"I would not be where I am today without every aspect of the Peabody experience."

Yudong Cao, M.Ed., Data Science Manager, Capital One

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 Dates

  • Application Deadline 1

    January 3

  • Application Deadline 2

    February 3

  • Rolling Admissions

    After February 3*

    *We will continue to accept applications after this Feb 3, but applications will be evaluated for admission and scholarships as space and funds are available.

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Quantitative Methods Program Curriculum

You will take three required core courses in Quantitative Methods during this 33-hour program, 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 Quantitative Methods program and one Quantitative Methods 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

  • Courses and Internship

    Required Courses: 9 hours

    You will be required to complete PSY-GS 8861 Statistical Inference, PSY-GS 8870 Correlation and Regression, and PSY-GS 8878 Statistical Consulting Integrating AI.

    Required Seminar Enrollment: 1 hour

    You must enroll in one hour for the Quantitative Methods seminar series during your last semester, PSY-GS 8855 Quant Methods Forum.

    Required Internship Enrollment: 2 hours

    You must enroll in two hours for the required internship during your last semester, PSY-PC 7982 Quantitative Methods Internship, typically in the spring of your final year.

    • Partnerships: The Quantitative Methods program partners with multiple sites that afford internships, for instance, in health policy analytics at the Vanderbilt University Medical Center, marketing analytics at the Owen Graduate School of Management, and institutional analytics at the Vanderbilt Office of Data and Strategic Analytics.
    • Students can also define their own internship and have served as interns in a wide variety of other disciplines (including Computer Science, Engineering, Biostatistics, Epidemiology, Neuroscience, Education, and Psychology), government agencies, private and public companies, and non-profit organizations.
    • Additionally, students have the opportunity to identify a quantitative methods internship project related to methodological, data analytic, and/or statistical modeling/software aspects of an existing or newly accepted job, subject to the approval of the PSY-PC 7982 instructor.

    Elective Courses: 21 hours

    Of the seven 3-hour elective courses, at least five must come from within the Psychology and Human Development Quantitative Methods curriculum, including:

    • PSY-GS 8867 Multivariate Statistics for Data Science
    • PSY-GS 8873 Structural Equation Modeling (SEM)
    • PSY-GS 8850 Advanced SEM
    • PSY-GS 8875 Behavioral Data Science
    • PSY-GS 8876 Psychological Measurement
    • PSY-GS 8879 Factor Analysis
    • PSY-GS 8882 Multilevel Modeling
    • PSY-GS 8850-01 Applied Bayesian Analysis for Latent Variable Modeling
    • PSY-GS 8850-02 Survival Analysis
    • PSY-GS 8880 Introduction to Item Response Theory
    • PSY-GS 8881 Advanced Item Response Theory
    • PSY-GS 8850-04 Applied Nonparametric Statistics
    • PSY-GS 8864 Analysis and Design of Experiments
    • PSY 8120 Categorical Data Analysis
    • PSY-GS 8888 Latent Growth Curve Modeling
    • PSY-GS 8850-03 Exploratory and Graphical Data Analysis
    • PSY-GS 8885 Latent Class and Mixture Modeling

    Of the seven electives, one quantitative methods course can come from outside the Quantitative Methods program (e.g., from biostatistics or from other quantitative methods offering within Peabody, such as Natural Language Processing, NLP or Meta-Analysis). One course can be a content course from within the Psychology Department (e.g. Neural Network Models of Cognitive Development; Computational Cognitive Modeling; or Research Methods in Clinical Psychology). 

"I believe Peabody excels at equipping students with the skills needed to be exceptional in their field after graduation."

Stephen Robinson, M.Ed., Data Scientist for Aerospace Applications, Dynetics

Our Commitment to Equity, Diversity, and Inclusion

The Quantitative Methods M.Ed. recognizes and respects differences across students' backgrounds, circumstances, and personal and social identities. We understand that our concept of diversity and what constitutes an inclusive climate will evolve as we welcome new students. We are committed to creating academic experiences that address issues of justice and equity, working within our classrooms and program to increase the participation and contributions of persons who bring diverse perspectives and experiences to the pursuit of knowledge.

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