DOCTORAL

Doctor of Philosophy in Educational Studies and Master of Arts in Statistics (Dual Degree)

Overview & Requirements
Applying
Careers & Internships

The interdisciplinary culture of the University of Michigan has generated strong connections between statisticians and quantitative social scientists in economics, education, psychology, and sociology. This provides an ideal training ground for educational statisticians.

Through the dual-degree Doctor of Philosophy in Educational Studies and Master of Arts in Statistics program you will have the opportunity to: 

  • Engage with the best thinking in applied statistics across a range of departments while applying your technical interests to challenging applied problems and methods in education. 
  • Develop an area of substantive interest in education (e.g., educational technology, literacy education, mathematics education), and explore research literatures in that field with an emphasis on uncovering the key methodological challenges that face researchers in it.
  • Gain groundwork in the mathematical foundations of applied statistics, including probability, statistical inference, linear models, and multivariate statistics; as well as applications to assessment, program evaluation, and survey research in education.
  • Work on high-quality research projects within the School of Education, which is conducting a number of well-funded large-scale evaluations of educational interventions as well as secondary analyses of survey data.

Candidates complete both the doctoral program requirements of the Educational Studies program and the dual-degree master's requirements of the Department of Statistics in the College of Literature, Science, and the Arts.

In addition, you will be encouraged to draw on multidisciplinary courses, colloquia, and seminars available at the University through programs including the Survey Methodology Program, the Quantitative Methodology Program, and the Social Statistics and Methodology Program.

A doctoral guidance committee formed in accord with the policies of the Educational Studies program and including at least one member of the Department of Statistics will provide information and advice to guide you in selecting among the vast resources of the university to advance your knowledge and research interests.

Students complete a minimum of 60 credits for the PhD and a minimum of 24 credits for the MA.

The Doctor of Philosophy in Educational Studies program includes core requirements in educational studies and qualitative research coupled with extensive coursework in quantitative research methods. Additional electives and cognates allow students to focus their studies.

STATS courses have pre-requisites. For a listing of STATS courses and their pre-requisites, please visit the Department of Statistics course listings.

Additional Certificate and Endorsement Opportunities
Learning Experience Design Certificate

Requirements

Total Credit Hours Required
84

PhD core credits

19

Students complete the following courses:

  • EDUC 790 – Foundations of Schooling (3 credits)
  • EDUC 791 – Foundations of Teaching & Learning (3 credits)
  • EDUC 792 – Methods of Educational Research: Qualitative (3 credits)
  • EDUC 793 – Introduction to Quantitative Methods in Educational Research (3 credits)
  • EDUC 898 – Professional Development Seminar (1 credit); need 4 credits total
  • An advanced research methods course (3 credits)

PhD concentration credits

12

Students choose from the following courses:

  • BIOSTAT 601 – Probability and Distribution Theory (4 credits)
  • BIOSTAT 602 – Biostatistical Inference (3 credits)
  • BIOSTAT 617 / SOC 717 / STATS 580 / SURVMETH 617 – Methods and Theory of Sample Design (3 credits)
  • BIOSTAT 652 – Design of Experiments (3 credits)
  • BIOSTAT 695 – Analysis of Categorical Data (3 credits)
  • BIOSTAT 851 / STATS 642 – Linear Statistical Models (3 credits)
  • BIOSTAT 890 / STATS 640 – Multivariate Statistical Models (3 credits)
  • EDUC 707 – Psychometric Theory: Classical and Latent Trait Models (3 credits)
  • EDUC 795 – Quantitative Methods for Non-Experimental Research (3 credits)
  • EDUC 803 / PSYCH 804 – Structural Equation Modeling (3 credits)
  • EDUC 890 / SURVMETH – 790 Multilevel Methods in Social Research (3 credits)
  • IOE 560 / OMS 603 / STATS 550 – Bayesian Decision Analysis (3 credits)
  • PSYCH 726 / SOC 726 – Multivariate Analysis (3 credits)
  • PSYCH 406 – Computational Methods in Statistics and Data Science
  • PUBPOL 712 / EDUC 712 – Causal Inference in Education Policy Research, K-12 (3 credits)
  • PUBPOL 713 / EDUC 714 – Causal Inference in Education Policy Research, Post-Secondary (3 credits)
  • STATS 425 / MATH 425 – Introduction to Probability (3 credits)
  • STATS 426 – Introduction to Theoretical Statistics (3 credits)
  • STATS 451 – Introduction to Bayesian Data Analysis (3 credits)
  • STATS 500 – Statistical Learning I: Regression (3 credits)
  • STATS 503 – Statistical Learning II: Multivariate Analysis (3 credits)

Any course that is an elective in the Master of Arts in Statistics program can count toward the concentration requirement.

PhD cognate credits

6

Students choose from the following courses:

  • STATS 500 – Statistical Learning I: Regression (3 credits)
  • STATS 503 – Statistical Learning II: Multivariate Analysis (3 credits)
  • BIOSTAT – 601 Probability and Distribution Theory (4 credits)
  • BIOSTAT – 602 Biostatistical Inference (3 credits)

PhD apprenticeship

2–6

Students complete a minimum of one and up to three credits in each of the following apprenticeships:

  • EDUC 789 – Research Apprenticeship
    • Graduate Student Research Assistant (GSRA) Position or Apprenticeship to Faculty Member
  • EDUC 798 – Teaching Apprenticeship
    • Graduate Student Instructor (GSI) Position or Apprenticeship to Faculty Member

Preliminary exam credits

2–6

Students complete a minimum of one and up to three credits in each of the following courses:

  • EDUC 991 – Prelims Part A (1 credit minimum) (may be elected more than once) 
  • EDUC 992 – Prelims Part B (1 credit minimum) (may be elected more than once)

MA core credits

6–8

Students choose one option from each of the following sequences:

Sequence #1:

  • STATS 500 – Statistical Learning I: Regression (3 credits) and STATS 503 – Statistical Learning II: Multivariate Analysis (4 credits)
  • STATS 600 – Linear Models (4 credits) and STATS 601 – Analysis of Multivariate and Categorical Data (4 credits)

Sequence #2:

  • BIOSTAT 601 – Probability and Distribution Theory (4 credits) and BIOSTAT 602 – Biostatistical Inference (4 credits)
  • STATS 610 – Statistical Inference (3 credits) and STATS 611 – Large Sample Theory (3 credits)

MA elective credits

6

Students complete two additional elective STATS courses, totaling at least 6 credits. These can be from graduate-level courses offered by the Department of Statistics, or other approved courses. All 600-level or above STATS courses can be used as electives, with the exception that students cannot use STATS 600 or 601 as electives if they have taken STATS 500 or 503; and they cannot use STATS 610 and 611 as electives if they have taken BIOSTAT 601 and 602.

Students choose from the following courses:

  • STATS 406 – Computational Methods in Statistics and Data Science 
  • STATS 414 – Topics Course (examples of previous offerings: Applied Survival Analysis, Bayesian Analysis) 
  • STATS 430 – Applied Probability 
  • STATS 451 – Introduction to Bayesian Data Analysis 
  • STATS 506 – Computational Methods and Tools in Statistics (3 credits)
  • STATS 509 – Statistics for Financial Data (3 credits)
  • STATS 526 – Discrete State Stochastic Processes (3 credits)
  • STATS 531 – Analysis of Time Series (3 credits)
  • STATS 535 – Reliability (3 credits)
  • STATS 547 – Probabilistic Modeling in Bioinformatics (3 credits)
  • STAT 551 – Bayesian Modeling and Computation 
  • STATS 560 – Introduction to Nonparametric Statistics (3 credits)
  • STATS 570 – Design of Experiments (3 credits)
  • STATS 580 – Methods and Theory of Sample Design (3 credits)
  • STATS 607 – Statistical Computing (1.5 credits)
  • BIOSTAT 615 – Statistical Computing 
  • BIOSTAT 675 – Survival Analysis 
  • BIOSTAT 682 – Applied Bayesian Inference 
  • BIOSTAT 695 – Analysis of Categorical Data 
  • BIOSTAT 696 – Spatial Statistics 
  • Any approved STATS 600-level or above courses

MA cognate credits

4

Students complete two courses from another department, totaling at least 4 credits. Courses taken to satisfy the PhD in Educational Studies program requirements can be double-counted and used to satisfy this requirement.

MA writing component

Since the dual degree is primarily designed for students who do a significant amount of statistics for their thesis research, the students in the program are required to have a PhD thesis chapter, or a thesis-based research paper submitted for publication, which demonstrates mastery of statistical methods at the level of a master’s project.

The writing component may focus on data collection (design of experiments, survey design), modeling and analysis of data, or both. It must be approved by a member of the student's PhD committee with an appointment in the Statistics department. This committee member will need to sign a form approving the statistical writing component, typically at the time of the defense. The student must also provide a two-page summary of the writing component, to be submitted with the signed approval form, describing the scientific problem under investigation, its importance, and statistical methods used.

If the student's thesis does not have a sufficient statistical component, this requirement may be replaced with two additional elective courses (at least 6 credit hours), making the total credit requirement equivalent to that of the master’s Program in Applied Statistics. Students are strongly advised to consult with the Statistics faculty member on their committee well in advance of the defense to determine the best course of action. Those who do not anticipate having a significant statistical component in their thesis should apply directly to the master’s Program in Applied Statistics.

Questions?

Questions?

Frequently Asked Questions

Prospective students

Prospective Students

2018 Ed Studies masters cohort poses in front of School of Education building
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Educational Studies

Associated Faculty

Marvin W. Peterson Collegiate Professor of Education; Professor of Public Policy, Gerald R Ford School of Public Policy

734-647-1984

Professor, School of Education; Professor of Public Policy, Gerald R. Ford School of Public Policy; Professor, Department of Economics, College of Literature, Science, and the Arts

734-615-5113

Professor, School of Education; Walter H. Annenberg Professor of Education Policy, Gerald R. Ford School of Public Policy; Professor, Department of Economics, College of Literature, Science, and the Arts

734-615-6994

Professor of Education; Professor of Economics, College of Literature, Science, and the Arts; Professor of Public Policy, Gerald R Ford School of Public Policy

734-647-8366

Connect with ES

Contact

Phone: (734) 763-9497
Master's: edstudiesma.info@umich.edu 
Doctoral: edstudiesphd.info@umich.edu  

Location

610 E. University Avenue
Room 4218
Ann Arbor, Michigan 48109-1259

Office Hours

Monday–Friday
8:00 a.m.–5:00 p.m.

Application Deadline

Final
December 1
All students

Application Process

Applicants apply first to the PhD program. Applicants must have been enrolled in the PhD program for one year before applying to the Dual Stats program, after which they complete Rackham's add a degree form for the Statistics MA program. In applying to the PhD program, applicants should not select the dual degree option right now but should select the Educational Studies Education and Statistics option as a subplan. Follow the steps below to apply for the PhD program.

Step 1: Prepare your application materials

To submit a successful application for admission, you need to provide the following:

  • Academic Statement of Purpose
    • The Academic Statement of Purpose serves to demonstrate a fit between your background/interests and the Educational Studies doctoral program philosophy, structure, and offerings. The statement should take the form of a concise and coherent essay, approximately 2-3 pages in length, double-spaced. Please be sure to address the following elements in your statement: 
      • 1. A clear statement about the opportunities, issues, and/or problems of education that motivate you to pursue the Educational Studies doctoral program  
      • 2. A concise summary of relevant academic or professional experience. Please explain the connection between your academic or professional experience and the opportunities, issues and/or problems of education introduced in #1. 
      • 3. An overview of your short-term and long-term career goals. Please introduce how you will go about addressing the opportunities, issues, and problems of education introduced in #1. 
      • 4. A clear statement explaining how you expect that the doctoral program will allow you to better understand the opportunities, issues, and problems of education that motivate your graduate studies and on which you will focus your career. Please make specific reference to details such as course offerings, experiential learning opportunities, campus resources, and the expertise of specific faculty members. 
  • Personal Statement 
    • 500 word limit
    • How have your background and life experiences, including cultural, geographical, financial, educational or other opportunities or challenges, motivated your decision to pursue a graduate degree at the University of Michigan? For example, if you grew up in a community where educational, cultural, or other opportunities were either especially plentiful or especially lacking, you might discuss the impact this had on your development and interests. This should be a discussion of the journey that has led to your decision to seek a graduate degree. Please do not repeat your Academic Statement of Purpose. 
  • Three (3) letters of recommendation
    • We strongly encourage two of your letters come from individuals who are familiar with your academic performance. The third may be from a professional reference.
    • Register your recommenders' names and contact information on the online application so that they will be sent instructions for submitting their letters via the application system. Let your recommenders know that they need to upload a letter and that it is required by the program. 
    • As soon as you click "save" on the page of the application where your recommenders' contact information is entered, they will receive an email with instructions for completing the process. Proceed to this point in the application process as soon as possible to trigger that email.
  • Resume or CV
  • GRE Test Scores (valid 5 years from test date)
    • Provide ETS with the U-M Institutional Code of 1839 and your scores will be sent directly to the university.
  • TOEFL, MELAB, ECPE, or IELTS scores (for non-native speakers of English only; valid 2 years from test date)
Step 2: Create an ApplyWeb account, managed by Rackham Graduate School

Create an account with Rackham Graduate School.

This program, like all of the School of Education's graduate programs, is administered through the University of Michigan's Horace H. Rackham School of Graduate Studies. Rackham offers a host of resources and administrative support to help see you through from submitting your application to completion of your degree.

Step 3: Complete pages 1-5 of application using ApplyWeb
  • After completing page 5 of the application, you will receive an e-mail with your U-M ID. A U-M ID number will be issued to you via email within 5 business days of completing pages 1-5 and advancing to page 6 of the ApplyWeb application. Having your U-M ID number to include on all your application materials ensures accurate and timely processing, so we encourage you to complete pages 1-5 early in the process.
  • If you need to submit your application before you receive your U-M ID number, you may still complete the application. Include your date of birth and the program’s name on your application materials.
  • Current and former U-M Ann Arbor students, alumni and employees: You do not need to obtain a new U-M ID number. Use your previously obtained U-M ID number.
  • If your personal information has changed (for example, legal name, gender), make sure the personal information you submit with your application matches your previous Ann Arbor campus record. If your previous Ann Arbor campus record does not display your current personal information, contact the Registrar’s Office or the Shared Services Center to change your personal information before you apply.
Step 4: Upload academic statement of purpose, the personal statement, and a curriculum vitae (CV) or resume to the ApplyWeb application

Include at the top of each document:

  • The type of document (Academic Statement of Purpose, Personal Statement, or Curriculum Vitae or Resume)
  • Your name
  • The name of the graduate program
  • Your 8 digit U-M ID (if known)

Make sure margins are at least one-inch so nothing is cropped when you upload the documents to the application.

Step 5: Submit test scores

GRE Test Scores (valid 5 years from test date)

  • Provide ETS with the U-M Institutional Code of 1839 and your scores will be sent directly to the university.

TOEFL, MELAB, ECPE, or IELTS scores (for non-native speakers of English only; valid 2 years from test date)

Step 6: Submit transcripts
  • Upload an electronic version of your official transcript(s) for each Bachelor’s, Master’s, Professional, or Doctoral degree earned or in progress through your ApplyWeb application account (part of the Rackham application system). Do not upload academic records printed from your school’s website or student portal.
  • You are not required to send official transcripts at the time of application. If you are recommended for admission, the Rackham Graduate School will require official transcripts. Admitted applicants will receive an email notification when the official transcripts are required.
  • Students who have studied in a country outside of the U.S. should review the required credentials from non-U.S. institutions. For all degrees obtained at non-U.S. institutions—Request that degree-granting institutions submit official transcripts/records to the Rackham Graduate School at the time of application.
  • Information for submitting official transcripts can be found on the Rackham Graduate School website.
Step 7: Check that letters of recommendation have been submitted
  • We strongly encourage two of your letters come from individuals who are familiar with your academic performance. The third may be from a professional reference.
  • Register your recommenders' names and contact information on the online application so that they will be sent instructions for submitting their letters via the application system. Let your recommenders know that they need to upload a letter and that it is required by the program.
  • As soon as you click "save" on the page of the application where your recommenders' contact information is entered, they will receive an email with instructions for completing the process. Proceed to this point in the application process as soon as possible to trigger that email.
Step 8: Create a U-M Friend Account

Check on your application status. If you’ve been accepted, you will receive an email with information on how to send your official transcripts.

Step 9: Respond to admission offer
Contact us

For general questions regarding the Educational Studies doctoral program:
Chauna Meyer
Educational Studies Business Administrator and Program Manager
chauna@umich.edu

U-M Office of Financial Aid
www.finaid.umich.edu

Quick Facts

GRE general exam required

Yes

Financial aid available

Yes

Starting term

Fall term only

Connect with ES

Contact

Phone: (734) 763-9497
Master's: edstudiesma.info@umich.edu 
Doctoral: edstudiesphd.info@umich.edu  

Location

610 E. University Avenue
Room 4218
Ann Arbor, Michigan 48109-1259

Office Hours

Monday–Friday
8:00 a.m.–5:00 p.m.

Careers

Education researchers with strong backgrounds in statistics and quantitative methods are in enormous demand, in: 

  • Schools and colleges of education
  • Research organizations such as the Educational Testing Service, the Rand Corporation, the National Opinion Research Center
  • Government agencies

100%

of known graduates found full time employment in education

100%

of known graduates found employment within 12 months

$61K

average first year salary
Graduates typically go into these industries
  • Educational foundations and policy
  • Educational leadership
  • Mathematics education
  • Teaching and teacher education

 

Graduates often work as
  • Education Consultant
  • Director of Research
  • Professor
  • Research Design Specialist
  • Research Investigator
  • Research Specialist

Recent job titles include

  • Associate Director of Education Research
  • Chief of Research
  • Clinical Professor
  • Deputy Director
  • Director of Enrollment Research and Data Management
  • Director of Mathematics Learning Center
  • Instructional Consultant
  • Principal Researcher
  • Research Scientist

Internships

Although no internship is required, students must satisfy the apprenticeship requirement by completing a minimum of one and up to three credits in each of the following apprenticeships:

  • EDUC 789 – Research Apprenticeship
    • Graduate Student Instructor (GSI) Position or Apprenticeship to Faculty Member
  • EDUC 798 – Teaching Apprenticeship
    • Graduate Student Research Assistant (GSRA) Position or Apprenticeship to Faculty Member