Educational Leadership
NC State’s Ed.D. in Educational Leadership program is tied for #14 in U.S. News & World Report’s rankings of 393 graduate programs in the U.S. and ranked #1 in North Carolina! The program is designed to prepare systems-level leaders to improve the quality of K-12 schools by preparing the next generation of superintendents dedicated to educational excellence and equity. Graduates are empowered with leadership strategies that improve student performance in environments that are dynamic, interactive, and culturally diverse.
Program Description
The Ed.D. in Educational Leadership leads to district/superintendent licensure and requires core courses in educational leadership, research methods (9 hours), an internship (6 hours), and a dissertation (12 hours). Students must be officially admitted to the Ed.D. program to enroll in doctoral classes. Please be aware that a Ph.D. in Educational Evaluation and Policy Analysis is also offered, but only the Ed.D. leads to superintendent licensure.
Course of Study
The program requires a minimum of 54 credit hours beyond the master’s degree. Students complete 27 hours of core and elective courses, 9 credit hours of research methods, a two semester internship (6 hours), and 12 hours of dissertation research.
More Information
Admission Requirements
Applicants must hold a North Carolina Principal’s license or be eligible to receive one; transcripts; three letters of reference (at least one must be from your current supervisor); resume (including teaching assignments, leadership experiences, and trainings); personal statement of interest and fit with career goals; and official score report from either the Miller Analogies Test (MAT) or the Graduate Record Exam (GRE). Test should have been taken within the last five years.
Applicant Information
- Delivery Method: On-Campus
- Entrance Exam: None
- Interview Required: None
Application Deadlines
- Summer 1: December 15 (absolute deadline is January 5)
Faculty
Full Professor
- Bonnie C. Fusarelli
- Lance D. Fusarelli
Associate Professors
- Lisa Bass
- Anna Margaret Jacob
Assistant Professors
- Jennifer Ayscue
- Timothy Drake
Lecturer
- Clinton Bolton
Practice/Research/Teaching Professors
- Gregory E. Hicks
- Henry Johnson
- Francine Piscitelli Riddick
- Lacey Seaton
- Claudia Smith
- Michael Ward
Adjunct Faculty
- Karen Anderson
- Patrick Crane
- Pam Eddinger
- John D. Enamait
- Linda Garcia
- Algie Gatewood
- Cameron Sublett
- Keith Witham
Emeritus Faculty
- Paul F. Bitting
Courses
Education
This course is designed for researchers and leaders to gain experience using quantitative analytic approaches to answer questions in educational research and policy analysis. As the first course in a two-part series, this course introduces students to foundational tools in quantitative data analysis. Specifically, topics include measurement, graphical and tabular data displays, probability, hypothesis testing, t-tests, X2 tests, analysis of variance (ANOVA), and fundamentals of regression.
Typically offered in Fall, Spring, and Summer
Students will apply and enhance their quantitative skills through analysis of existing datasets. Course goals include practicing and extending Multiple Regression knowledge and skills, generating and testing hypotheses in a multiple regression framework, and appropriately disseminating results. Restricted to doctoral students in Education Research only.
Prerequisite: ED 710
Typically offered in Fall, Spring, and Summer
Design of qualitative studies, conduct of field work including open-ended interviews and participant observation, analysis of data and understanding of theoretical and philosophical background of this research approach.
Typically offered in Fall, Spring, and Summer
Intensive course in the use of field-based and general qualitative research data analysis methods in the social study of education. The course is to help participants acquire skills and gain experience in using various methodological and analytical research techniques. The course emphasis is on the collection, management, analysis, and interpretation of qualitative data.
Prerequisite: ELP 736, EAC 785 or ED 730
Typically offered in Fall, Spring, and Summer